Acumos An Open Source AI Machine Learning Platform

Acumos is an Open Source Platform, which supports training, integration and deployment of AI models. By creating an open source community around Machine Learning, AT&T will accelerate the transition to AI-based software across a wide range of industrial and commercial problems and reach a critical mass of applications. Acumos drives a data-centric process for creating machine learning applications.

Spotlight

Talos

Talos srls is an innovative startup, born in early 2016, which operates in the field of cybersecurity and has been recognized as Spin Off of the University of Genoa. Talos aims at providing high-tech solutions for security issues related to mobile and consumer business environments, through automated tools for assessing the security risks of mobile apps and specialized security consulting services. Talos boasts collaborations with important business organizations and international organizations.

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Hyper-Converged Infrastructure

Mastering Infrastructure: Hyperconvergence Courses and Certifications

Article | July 13, 2023

Unlock Courses and HCI certifications focused on hyperconvergence providing individuals with the knowledge and skills necessary to design, deploy, and manage these advanced infrastructure solutions. Hyperconvergence has become essential for professionals and beginners seeking to stay ahead in their careers and grow in infstructure sector. Hyperconvergence courses and certifications offer valuable opportunities to enhance knowledge and skills in this transformative technology. In this article, explore the significance of hyperconvergence courses and certifications, and how they enable professionals to become experts in designing, implementing, and managing hyperconverged infrastructure solutions. 1. Cloud Infrastructure and Services Version 4.0 (DCA-CIS) The Dell Technologies Proven Professional Cloud Infrastructure and Services Associate (DCA-CIS) certification is an associate level certification designed to provide participants with a comprehensive understanding of the technologies, processes, and mechanisms required to build cloud infrastructure. By following a cloud computing reference model, participants can make informed decisions when building cloud infrastructure and prepare for advanced topics in cloud solutions. The certification involves completing the recommended training and passing the DEA-2TT4 exam. Exam retake policies are in place, and exam security measures ensure the integrity and validity of certifications. Candidates receive provisional exam score reports immediately, with final scores available in their CertTracker accounts after a statistical analysis. This certification equips professionals with the necessary expertise to excel in cloud infrastructure and services. 2. DCS-SA: Systems Administrator, VxRail The Specialist – Systems Administrator, VxRail Version 2.0 (DCS-SA) certification focuses on individuals wanting to validate their expertise in effectively administering VxRail systems. VxRail clusters provide hyper-converged solutions that simplify IT operations and reduce business operational costs. This HCI certification introduces participants to the VxRail product, including its hardware and software components within a VxRail cluster. Key topics covered include cluster management, provisioning, monitoring, expansion, REST API usage, and standard maintenance activities. To attain this certification, individuals must acquire a prescribed Associate Level Certification, complete recommended training options, and pass the DES-6332 exam. This certification empowers professionals to administer VxRail systems and optimize data center operations efficiently. 3. Certified and Supported SAP HANA Hardware One among HCI certification courses, the Certified and Supported SAP HANA Hardware program provides a directory of hardware options powered by SAP HANA, accelerating implementation processes. The directory includes certified appliances, enterprise storage solutions, IaaS platforms, Hyper-Converged Infrastructure (HCI) Solutions, supported intel systems, and supported power systems. These hardware options have undergone testing by hardware partners in collaboration with SAP LinuxLab and are supported for SAP HANA certification. Valid certifications are required at purchase, and support is provided until the end of maintenance. SAP SE delivers the directory for informational purposes, and improvements or corrections may be made at their discretion. 4. Google Cloud Fundamentals: Core Infrastructure Google Cloud Fundamentals: Core Infrastructure is a comprehensive course introducing essential concepts and terminology for working with Google Cloud. It provides an overview of Google Cloud's computing and storage services and resource as well as policy management tools. Through videos and hands-on labs, learners will gain the knowledge and skills to interact with Google Cloud services, choose and deploy applications using App Engine, Google Kubernetes Engine, and Compute Engine, and utilize various storage options such as cloud storage, Cloud SQL, Cloud Bigtable, and Firestore. This beginner-level course is part of multiple specialization and professional certificate programs, including networking in Google Cloud and developing applications with Google Cloud. Upon completion, learners will receive a shareable certificate. The course is offered by Google Cloud, a trusted provider of innovative cloud technologies designed for security, reliability, and scalability. 5. Infrastructure and Application Modernization with Google Cloud The ‘Modernizing Legacy Systems and Infrastructure with Google Cloud’ course addresses the challenges faced by businesses with outdated IT infrastructure and explores how cloud technology can enable modernization. It covers various computing options available in the cloud and their benefits, as well as application modernization and API management. The course highlights Google Cloud solutions like Compute Engine, App Engine, and Apigee that assist in system development and management. By completing this beginner-level course, learners will understand the benefits of infrastructure and app modernization using cloud technology, the distinctions between virtual machines, containers, and Kubernetes, and how Google Cloud solutions support app modernization and simplify API management. The course is offered by Google Cloud, a leading provider of cloud technologies designed for security, reliability, and scalability. Upon completion, learners will receive a shareable certificate. 6. Oracle Cloud Infrastructure Foundations One of the HCI certification courses, the ‘OCI Foundations Course’ is designed to prepare learners for the Oracle Cloud Infrastructure Foundations Associate Certification. The course provides an introduction to the OCI platform and covers core topics such as compute, storage, networking, identity, databases, and security. By completing this course, learners will gain knowledge and skills in architecting solutions, understanding autonomous database concepts, and working with networking and observability tools. The course is offered by Oracle, a leading provider of integrated application suites and secure cloud infrastructure. Learners will have access to flexible deadlines and will receive a shareable certificate upon completion. Oracle's partnership with Coursera aims to increase accessibility to cloud skills training and empower individuals and enterprises to gain expertise in Oracle Cloud solutions. 7. Designing Cisco Data Center Infrastructure (DCID) The 'Designing Cisco Data Center Infrastructure (DCID) v7.0' training is designed to help learners master the design and deployment options for Cisco data center solutions. The course covers various aspects of data center infrastructure, including network, compute, virtualization, storage area networks, automation, and security. Participants will learn design practices for Cisco Unified Computing System, network management technologies, and various Cisco data center solutions. The training provides both theoretical content and design-oriented case studies through activities. By completing this training, learners can earn 40 Continuing Education credits and prepare for the 300-610 Designing Cisco Data Center Infrastructure (DCID) exam. This certification equips professionals with the knowledge and skills necessary to design scalable and reliable data center environments using Cisco technologies, making them eligible for professional-level job roles in enterprise-class data centers. Prerequisites for this training include foundational knowledge in data center networking, storage, virtualization, and Cisco UCS. Final Thoughts Mastering infrastructure in the realm of hyperconvergence is essential for IT professionals seeking to excel in their careers and drive successful deployments. Courses and HCI certifications focused on hyperconvergence provide individuals with the knowledge and skills necessary to design, deploy, and manage these infrastructure modernization solutions. By acquiring these credentials, professionals can validate their expertise, stay up-to-date with industry best practices, and position themselves as valuable assets in the rapidly evolving landscape of IT infrastructure. These courses and certifications offer IT professionals the opportunity to master the intricacies of this transformative infrastructure approach. By investing in these educational resources, individuals can enhance their skill set, broaden their career prospects, and contribute to the successful implementation and management of hyperconverged infrastructure solutions.

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Application Storage, Data Storage

As Edge Applications Multiply, OpenInfra Community Delivers StarlingX 5.0, Offering Cloud Infrastructure Stack for 5G, IoT

Article | July 12, 2023

StarlingX—the open source edge computing and IoT cloud platform optimized for low-latency and high-performance applications—is available in its 5.0 release today. StarlingX combines Ceph, OpenStack, Kubernetes and more to create a full-featured cloud software stack that provides everything carriers and enterprises need to deploy an edge cloud on a few servers or hundreds of them.

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Hyper-Converged Infrastructure

5 TIPS TO ENSURE NETWORK SECURITY OF INTERNAL IT INFRASTRUCTURE

Article | October 3, 2023

What Is IT Infrastructure Security? If you are reading this blog, we would like to assume that you are either an aspiring cybersecurity professional or a business owner looking for ways to improve their network security. A business IT infrastructure includes networks, software, hardware, equipment, and other facilities that make up an IT network. These networks are applied to establish, monitor, test, manage, deliver, and support IT services. So, IT infrastructure security describes the process of safeguarding the core networking infrastructure, and it is typically applied to enterprise IT environments. You can improve IT infrastructure security by installing protective solutions to block unauthorized access, theft, deletion, and data modification.

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Application Infrastructure

Why Should Your Business Utilize Infrastructure as a Service (IaaS)?

Article | August 3, 2022

Flexible data access, enhanced disaster recovery, and reduced infrastructure staff burden are some of the biggest reasons businesses migrate to innovative and reliable cloud technologies. Infrastructure-as-a-service or Iaas, is one such cloud computing model that has simplified the lives of enterprises and developers by reducing their infrastructure burden. Iaas gives you access to servers, networking, storage, and virtualization features. IaaS is fast becoming one of the biggest trends in cloud computing. According to Technavio's latest report, the IaaS market projects a growth of USD 141.77 billion, registering a CAGR of 28.2% from 2021 to 2026. “So many systems end up as a big dreaded ball of mud (which is totally preventable) when designing an enforceable architecture model.” Alexander von Zitzewitz, CEO, hello2morrow Inc. But, how can IaaS technology help you grow and advance your business? Here are some key advantages of switching to IaaS: Better Performance One of the more well-known benefits of IaaS is achieving a higher performance level from your infrastructure. Rather than worrying about the latest hardware for your infrastructure, with IaaS in place, your in-house IT team will be able to focus more on working on your business goals and objectives through technology. Because the SLA (Service Level Agreement) with your IaaS cloud service provider can ensure that you are getting the best performance from your cloud provider's infrastructure. An SLA will ensure that your cloud provider is accountable for continuous upgrades and the best possible service for your business. Decreased CapEx With IaaS technology, you can choose the IaaS cloud service provider of your choice. Typically, a cloud provider has a more reliable, robust, and redundant infrastructure setup than what would be feasible and financially realistic in an office environment. This means you can save on maintenance, purchase, and operating hardware-related business expenditures. Additionally, it also decreases your overall IT-related capital expenditure (CapEx). Increased Flexibility IaaS increases your scalability and flexibility exponentially. Your business can scale up and down as needed and on-demand. For example, say your business is hosting a short-term campaign to drive more traffic to your website. IaaS will automatically provision resources to ensure your business infrastructure is well equipped to handle the sudden incoming traffic boost. Scale- Up Your Business Additionally, IaaS gives your growing business the flexibility it needs from its IT infrastructure. For example, if you’re considering opening a new office in a different location, you don’t need to spend extra on new hardware; instead, you can directly connect to your infrastructure virtually. This means you don’t need to invest in additional infrastructure for business expansion continually. Managed-Task Virtualization As IaaS supports the virtualization of management tasks, your IT is free to concentrate on other, more thought-intensive work. This will not only drive more efficiency but also help boost ROI. Disaster Recovery During disasters like an earthquake or floods, IaaS ensures smooth business operations. Disaster Recovery as a Service (DRaaS) stores and replicates data in multiple data centers in different geographical locations. So even if a disaster or mishap causes significant damage to the data center, your IaaS providers can quickly restore the data from another data center. Conclusion IaaS allows your businesses to utilize the cloud to achieve your IT goals. It is flexible, scalable, reliable, cost-effective and provides seamless access to maximize business continuity. Therefore, you should choose a reliable IaaS cloud provider who can deliver a variety of cloud infrastructure solutions.

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Spotlight

Talos

Talos srls is an innovative startup, born in early 2016, which operates in the field of cybersecurity and has been recognized as Spin Off of the University of Genoa. Talos aims at providing high-tech solutions for security issues related to mobile and consumer business environments, through automated tools for assessing the security risks of mobile apps and specialized security consulting services. Talos boasts collaborations with important business organizations and international organizations.

Related News

Hyper-Converged Infrastructure,Application Infrastructure,IT Systems Management

CoreWeave Among First Cloud Providers to Offer NVIDIA HGX H100 Supercomputers Set to Transform AI Landscape

CoreWeave | November 07, 2022

CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, today announced it is among the first to offer cloud instances with NVIDIA HGX H100 supercomputing. CoreWeave, Amazon, Google, Microsoft and Oracle are the first cloud providers included in the launch of this groundbreaking AI platform. CoreWeave was the first Elite Cloud Service Provider for Compute in the NVIDIA Partner Network (NPN) and is also among the NPN’s Elite Cloud Service Providers for Visualization. “This validates what we’re building and where we’re heading,” said Michael Intrator, CoreWeave co-founder and CEO. “CoreWeave’s success will continue to be driven by our commitment to making GPU-accelerated compute available to startup and enterprise clients alike. Investing in the NVIDIA HGX H100 platform allows us to expand that commitment, and our pricing model makes us the ideal partner for any companies looking to run large-scale, GPU-accelerated AI workloads.” NVIDIA’s ecosystem and platform are the industry standard for AI. The NVIDIA HGX H100 platform allows a leap forward in the breadth and scope of AI work businesses can now tackle. The NVIDIA HGX H100 enables up to seven times better efficiency in high-performance computing (HPC) applications, up to nine times faster AI training on the largest models and up to 30 times faster AI inference than the NVIDIA HGX A100. That speed, combined with the lowest NVIDIA GPUDirect network latency in the market with the NVIDIA Quantum-2 InfiniBand platform, reduces the training time of AI models to “days or hours instead of months.” Such technology is critical now that AI has permeated every industry. “AI and HPC workloads require a powerful infrastructure that delivers cost-effective performance and scale to meet the needs of today’s most demanding workloads and applications. “CoreWeave’s new offering of instances featuring NVIDIA HGX H100 supercomputers will enable customers the flexibility and performance needed to power large-scale HPC applications.” Dave Salvator, director of product marketing at NVIDIA In the same way that drivers of fuel-efficient cars save money on gas, CoreWeave clients spend between 50% to 80% less on compute resources. The company’s performance-adjusted cost structure is two-fold. First, clients only pay for the HPC resources they use, and CoreWeave cloud instances are highly configurable. Second, CoreWeave’s Kubernetes-native infrastructure and networking architecture produce performance advantages, including industry-leading spin-up times and responsive auto-scaling capabilities that allow clients to use compute more efficiently. CoreWeave competitors charge for idle compute capacity to maintain access to GPUs and use legacy-networking products that degrade performance with scale. “CoreWeave’s infrastructure is purpose-built for large-scale GPU-accelerated workloads — we specialize in serving the most demanding AI and machine learning applications,” said Brian Venturo, CoreWeave co-founder and chief technology officer. “We empower our clients to create world-changing technology by delivering practical access to high-performance compute at scale, on top of the industry’s fastest and most flexible infrastructure.” CoreWeave leverages a range of open-source Kubernetes projects, integrates with best-in-class technologies such as Determined.AI and offers support for open-source AI models including Stable Diffusion, GPT-NeoX-20B and BLOOM as part of its mission to lead the world in AI and machine learning infrastructure. Founded in 2017, CoreWeave provides fast, flexible, and highly available GPU compute resources that are up to 35 times faster and 80% less expensive than large, generalized public clouds. An Elite Cloud Service Provider for Compute and Visualization in the NPN, CoreWeave offers cloud services for compute-intensive projects, including AI, machine learning, visual effects and rendering, batch processing and pixel streaming. CoreWeave’s infrastructure is purpose-built for burstable workloads, with the ability to scale up or down in seconds. About CoreWeave CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — digital assets, VFX and rendering, machine learning and AI, batch processing and pixel streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.

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Hyper-Converged Infrastructure, Application Infrastructure, Data Storage

Torch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. Government

Torch.AI | August 20, 2022

Torch.AI, pioneers of data infrastructure AI, announced today a partnership with Vertosoft to accelerate the adoption of next-generation artificial intelligence (AI) and data infrastructure software capabilities across the U.S. Government. Torch.AI, already supporting some of the world's most important organizations, has re-imagined how organizations use and extract value from data. The company's software is quickly becoming the AI ecosystem and data infrastructure standard, introducing a new way for teams to increase productivity, prioritize resources, and bridge data silos by accessing and correlating mission-critical information. Torch.AI's role in the partnership will be to propel the adoption and delivery of new data infrastructures powered by AI to government agencies seeking an innovative response to complex data challenges. Torch's solutions will complement Vertosoft's strong portfolio of enabling technology partners in DOD agencies, such as the U.S. Army and U.S. Air Force, and further extend reach to Vertosoft's vast 100+ organization network across the greater DOD and Civilian space. As a leading emerging technology distributor, Vertosoft is focused on bringing innovative and emerging technologies to the public sector. With dozens of contract vehicles and government-wide acquisition contracts, Vertosoft simplifies government procurement. The partnership with Torch.AI will enable Vertosoft to bring critically important data and AI capabilities to every level of government. "We're excited to build on our momentum in the government space and continue powering mission-critical decisions and operational capabilities with our data infrastructure AI solutions. "We see Vertosoft as a key component of our public sector strategy and plan to leverage their experience in bringing technology to the government market." Bobby Butler, Director of Partner Success at Torch.AI "We continue to hear from public sector customers across the U.S. Federal, State, and Local markets that they're consistently looking to integrate more diverse datasets into their decision-making process and have systematically struggled in doing so," says Josh Slattery, Vice President of Technology Sales at Vertosoft. "Vertosoft is thrilled to partner with Torch.AI to help bridge the gaps and turn AI into a reality for our public sector customers." About Torch.AI Torch.AI, the Data Infrastructure AI Pioneers, are headquartered in Kansas City with offices in Washington, DC. The company developed the use of AI to process data in-flight, radically evolving analytic and operational capabilities in any IT environment. Torch.AI's products and people are currently actively supporting operations in industries including financial services, construction and engineering, healthcare, and the US Department of Defense, US Department of Homeland Security, and other agencies. About Vertosoft Established in 2016, Vertosoft accelerates the adoption of innovative and emerging technology within the government. We bring the flexibility, agility, and responsiveness of a small company with the experience of a large organization. With our clear focus on emerging technology growth in government, Vertosoft is uniquely positioned to reduce complexity and provide scalable, cloud-ready technology solutions that enable government agencies to deliver smarter, client-centric digital transformations.

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Lenovo Unveils New Offerings Purpose-Built for Analytics and AI Workloads, Delivers Business Intelligence

Lenovo | June 19, 2020

Lenovo Data Center Group. Our new ThinkSystem servers are designed to enhance mission-critical applications like SAP HANA and accelerate next-generation workloads like AI. The servers, combined with the DM7100 and business intelligence solutions from SAP, are material to helping customers address their data challenges in a variety of ways . A new remote deployment service offering for the Lenovo ThinkSystem DM7100 offers up to 80% faster implementation vs. scheduling on-site deployments. Today, Lenovo Data Center Group (DCG) announced new flexible solutions to empower customers to simplify common data management challenges. DCG is announcing the launch of the ThinkSystem SR860 V2 and SR850 V2 servers, which now feature 3rd Gen Intel Xeon Scalable processors with enhanced support for SAP HANA based on Intel Optane persistent memory 200 series. In addition, Lenovo is announcing new remote deployment service offerings for the ThinkSystem DM7100 storage systems. With these new offerings, customers can more easily navigate complex data management needs to deliver actionable business intelligence through artificial intelligence (AI) and analytics, while getting maximum results when combined with business applications like SAP HANA®. Many industries are faced with the ever-increasing challenge of having to analyze greater volumes of data, maintain the velocity of the data being transacted and support the variety of the data being collected and stored. Read more: DRAKE SUPERMARKETS CHOOSES NUTANIX HYPERCONVERGED INFRASTRUCTURE TO MODERNIZE THEIR IT ENVIRONMENT Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 mission critical servers feature 3rd Gen Intel Xeon Scalable processors and support for enhanced Intel® Deep Learning Boost enabling customers to handle their most data intensive workloads. ~ Lenovo’s Without proper storage and processing capabilities, organizations are missing critical insights about their customers and business, while others experience bottlenecks due to a variety of data types that need to be analyzed, categorized and more quickly utilized to drive business value. Finally, the insights that come from data have definitive time limits, so the faster that systems can handle data, the greater amount of value that can be extracted. To help customers accelerate high performance workloads and improve efficiency, Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 servers feature the latest in high-end processing and memory capabilities, with twice the amount of NVMe storage capacity1. The servers, combined with the DM7100 and business intelligence solutions from SAP, are material to helping customers address their data challenges in a variety of ways. The new 3rd Gen Intel Xeon Scalable processor-based enable more rapid data ingest capabilities to help tackle the growing volume of data coming into the data center. When combined with Lenovo DB fiber channel switches, customers can now achieve end-to-end NVMe deployment, delivering higher throughput and up to a 50 percent reduction in latency. The constant change in information and ever evolving needs of customers means there must be faster and more efficient solutions to turn data into information that empowers businesses,” said Kamran Amini, Vice President and General Manager of Server, Storage and Software Defined Infrastructure, Lenovo Data Center Group. “Our new ThinkSystem servers are designed to enhance mission-critical applications like SAP HANA and accelerate next-generation workloads like AI, analytics and machine learning, enabling mission critical performance and reliability for all data centers and maximum business value for our customers. Lenovo is a US$50 billion Fortune Global 500 company, with 63,000 employees and operating in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that create a more inclusive, trustworthy and sustainable digital society. By designing, engineering and building the world’s most complete portfolio of smart devices and infrastructure, we are also leading an Intelligent Transformation – to create better experiences and opportunities for millions of customers around the world. Select configurations of the ThinkSystem SR860 V2, SR850 V2 and DM7100 solutions are available through Lenovo TruScale, the pay-for-what-you-use data center, offering customers a flexible and cost effective option for adoption. Read more: DELL, MICROSOFT EMERGE REVENUE LEADERS IN DATA CENTER INFRASTRUCTURE

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Hyper-Converged Infrastructure,Application Infrastructure,IT Systems Management

CoreWeave Among First Cloud Providers to Offer NVIDIA HGX H100 Supercomputers Set to Transform AI Landscape

CoreWeave | November 07, 2022

CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, today announced it is among the first to offer cloud instances with NVIDIA HGX H100 supercomputing. CoreWeave, Amazon, Google, Microsoft and Oracle are the first cloud providers included in the launch of this groundbreaking AI platform. CoreWeave was the first Elite Cloud Service Provider for Compute in the NVIDIA Partner Network (NPN) and is also among the NPN’s Elite Cloud Service Providers for Visualization. “This validates what we’re building and where we’re heading,” said Michael Intrator, CoreWeave co-founder and CEO. “CoreWeave’s success will continue to be driven by our commitment to making GPU-accelerated compute available to startup and enterprise clients alike. Investing in the NVIDIA HGX H100 platform allows us to expand that commitment, and our pricing model makes us the ideal partner for any companies looking to run large-scale, GPU-accelerated AI workloads.” NVIDIA’s ecosystem and platform are the industry standard for AI. The NVIDIA HGX H100 platform allows a leap forward in the breadth and scope of AI work businesses can now tackle. The NVIDIA HGX H100 enables up to seven times better efficiency in high-performance computing (HPC) applications, up to nine times faster AI training on the largest models and up to 30 times faster AI inference than the NVIDIA HGX A100. That speed, combined with the lowest NVIDIA GPUDirect network latency in the market with the NVIDIA Quantum-2 InfiniBand platform, reduces the training time of AI models to “days or hours instead of months.” Such technology is critical now that AI has permeated every industry. “AI and HPC workloads require a powerful infrastructure that delivers cost-effective performance and scale to meet the needs of today’s most demanding workloads and applications. “CoreWeave’s new offering of instances featuring NVIDIA HGX H100 supercomputers will enable customers the flexibility and performance needed to power large-scale HPC applications.” Dave Salvator, director of product marketing at NVIDIA In the same way that drivers of fuel-efficient cars save money on gas, CoreWeave clients spend between 50% to 80% less on compute resources. The company’s performance-adjusted cost structure is two-fold. First, clients only pay for the HPC resources they use, and CoreWeave cloud instances are highly configurable. Second, CoreWeave’s Kubernetes-native infrastructure and networking architecture produce performance advantages, including industry-leading spin-up times and responsive auto-scaling capabilities that allow clients to use compute more efficiently. CoreWeave competitors charge for idle compute capacity to maintain access to GPUs and use legacy-networking products that degrade performance with scale. “CoreWeave’s infrastructure is purpose-built for large-scale GPU-accelerated workloads — we specialize in serving the most demanding AI and machine learning applications,” said Brian Venturo, CoreWeave co-founder and chief technology officer. “We empower our clients to create world-changing technology by delivering practical access to high-performance compute at scale, on top of the industry’s fastest and most flexible infrastructure.” CoreWeave leverages a range of open-source Kubernetes projects, integrates with best-in-class technologies such as Determined.AI and offers support for open-source AI models including Stable Diffusion, GPT-NeoX-20B and BLOOM as part of its mission to lead the world in AI and machine learning infrastructure. Founded in 2017, CoreWeave provides fast, flexible, and highly available GPU compute resources that are up to 35 times faster and 80% less expensive than large, generalized public clouds. An Elite Cloud Service Provider for Compute and Visualization in the NPN, CoreWeave offers cloud services for compute-intensive projects, including AI, machine learning, visual effects and rendering, batch processing and pixel streaming. CoreWeave’s infrastructure is purpose-built for burstable workloads, with the ability to scale up or down in seconds. About CoreWeave CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — digital assets, VFX and rendering, machine learning and AI, batch processing and pixel streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.

Read More

Hyper-Converged Infrastructure, Application Infrastructure, Data Storage

Torch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. Government

Torch.AI | August 20, 2022

Torch.AI, pioneers of data infrastructure AI, announced today a partnership with Vertosoft to accelerate the adoption of next-generation artificial intelligence (AI) and data infrastructure software capabilities across the U.S. Government. Torch.AI, already supporting some of the world's most important organizations, has re-imagined how organizations use and extract value from data. The company's software is quickly becoming the AI ecosystem and data infrastructure standard, introducing a new way for teams to increase productivity, prioritize resources, and bridge data silos by accessing and correlating mission-critical information. Torch.AI's role in the partnership will be to propel the adoption and delivery of new data infrastructures powered by AI to government agencies seeking an innovative response to complex data challenges. Torch's solutions will complement Vertosoft's strong portfolio of enabling technology partners in DOD agencies, such as the U.S. Army and U.S. Air Force, and further extend reach to Vertosoft's vast 100+ organization network across the greater DOD and Civilian space. As a leading emerging technology distributor, Vertosoft is focused on bringing innovative and emerging technologies to the public sector. With dozens of contract vehicles and government-wide acquisition contracts, Vertosoft simplifies government procurement. The partnership with Torch.AI will enable Vertosoft to bring critically important data and AI capabilities to every level of government. "We're excited to build on our momentum in the government space and continue powering mission-critical decisions and operational capabilities with our data infrastructure AI solutions. "We see Vertosoft as a key component of our public sector strategy and plan to leverage their experience in bringing technology to the government market." Bobby Butler, Director of Partner Success at Torch.AI "We continue to hear from public sector customers across the U.S. Federal, State, and Local markets that they're consistently looking to integrate more diverse datasets into their decision-making process and have systematically struggled in doing so," says Josh Slattery, Vice President of Technology Sales at Vertosoft. "Vertosoft is thrilled to partner with Torch.AI to help bridge the gaps and turn AI into a reality for our public sector customers." About Torch.AI Torch.AI, the Data Infrastructure AI Pioneers, are headquartered in Kansas City with offices in Washington, DC. The company developed the use of AI to process data in-flight, radically evolving analytic and operational capabilities in any IT environment. Torch.AI's products and people are currently actively supporting operations in industries including financial services, construction and engineering, healthcare, and the US Department of Defense, US Department of Homeland Security, and other agencies. About Vertosoft Established in 2016, Vertosoft accelerates the adoption of innovative and emerging technology within the government. We bring the flexibility, agility, and responsiveness of a small company with the experience of a large organization. With our clear focus on emerging technology growth in government, Vertosoft is uniquely positioned to reduce complexity and provide scalable, cloud-ready technology solutions that enable government agencies to deliver smarter, client-centric digital transformations.

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Lenovo Unveils New Offerings Purpose-Built for Analytics and AI Workloads, Delivers Business Intelligence

Lenovo | June 19, 2020

Lenovo Data Center Group. Our new ThinkSystem servers are designed to enhance mission-critical applications like SAP HANA and accelerate next-generation workloads like AI. The servers, combined with the DM7100 and business intelligence solutions from SAP, are material to helping customers address their data challenges in a variety of ways . A new remote deployment service offering for the Lenovo ThinkSystem DM7100 offers up to 80% faster implementation vs. scheduling on-site deployments. Today, Lenovo Data Center Group (DCG) announced new flexible solutions to empower customers to simplify common data management challenges. DCG is announcing the launch of the ThinkSystem SR860 V2 and SR850 V2 servers, which now feature 3rd Gen Intel Xeon Scalable processors with enhanced support for SAP HANA based on Intel Optane persistent memory 200 series. In addition, Lenovo is announcing new remote deployment service offerings for the ThinkSystem DM7100 storage systems. With these new offerings, customers can more easily navigate complex data management needs to deliver actionable business intelligence through artificial intelligence (AI) and analytics, while getting maximum results when combined with business applications like SAP HANA®. Many industries are faced with the ever-increasing challenge of having to analyze greater volumes of data, maintain the velocity of the data being transacted and support the variety of the data being collected and stored. Read more: DRAKE SUPERMARKETS CHOOSES NUTANIX HYPERCONVERGED INFRASTRUCTURE TO MODERNIZE THEIR IT ENVIRONMENT Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 mission critical servers feature 3rd Gen Intel Xeon Scalable processors and support for enhanced Intel® Deep Learning Boost enabling customers to handle their most data intensive workloads. ~ Lenovo’s Without proper storage and processing capabilities, organizations are missing critical insights about their customers and business, while others experience bottlenecks due to a variety of data types that need to be analyzed, categorized and more quickly utilized to drive business value. Finally, the insights that come from data have definitive time limits, so the faster that systems can handle data, the greater amount of value that can be extracted. To help customers accelerate high performance workloads and improve efficiency, Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 servers feature the latest in high-end processing and memory capabilities, with twice the amount of NVMe storage capacity1. The servers, combined with the DM7100 and business intelligence solutions from SAP, are material to helping customers address their data challenges in a variety of ways. The new 3rd Gen Intel Xeon Scalable processor-based enable more rapid data ingest capabilities to help tackle the growing volume of data coming into the data center. When combined with Lenovo DB fiber channel switches, customers can now achieve end-to-end NVMe deployment, delivering higher throughput and up to a 50 percent reduction in latency. The constant change in information and ever evolving needs of customers means there must be faster and more efficient solutions to turn data into information that empowers businesses,” said Kamran Amini, Vice President and General Manager of Server, Storage and Software Defined Infrastructure, Lenovo Data Center Group. “Our new ThinkSystem servers are designed to enhance mission-critical applications like SAP HANA and accelerate next-generation workloads like AI, analytics and machine learning, enabling mission critical performance and reliability for all data centers and maximum business value for our customers. Lenovo is a US$50 billion Fortune Global 500 company, with 63,000 employees and operating in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that create a more inclusive, trustworthy and sustainable digital society. By designing, engineering and building the world’s most complete portfolio of smart devices and infrastructure, we are also leading an Intelligent Transformation – to create better experiences and opportunities for millions of customers around the world. Select configurations of the ThinkSystem SR860 V2, SR850 V2 and DM7100 solutions are available through Lenovo TruScale, the pay-for-what-you-use data center, offering customers a flexible and cost effective option for adoption. Read more: DELL, MICROSOFT EMERGE REVENUE LEADERS IN DATA CENTER INFRASTRUCTURE

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