Cartesi Launches Linux Infrastructure For Developing Blockchain DApps

the-blockchain | March 24, 2020

Cartesi, who claim they are the first DApp infrastructure that runs an operating system (OS) on top of blockchains, is launching their product as the simultaneously close their first round of funding. The company’s layer-2 solution is allegedly the first of its kind to bridge the gap between a Linux runtime environment and blockchain, giving developers the opportunity to create DApps using a vast array of mainstream software stacks. “We are excited to be launching the first-ever Linux infrastructure that runs on top of a blockchain, while we complete our second round of funding,” says Cartesi CEO Erick de Moura.

Spotlight

With the emergence of IoT, the inheritance of technology into our lives has gone up by a notch. Starting with what it is, in the simplest terms, it is the concept of connecting various things or smart devices as they are called, to the internet. The platform of The Internet of Things brings diverse information together and provides the common language of devices and apps to communicate with each other.


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APPLICATION INFRASTRUCTURE

Verizon and Google Cloud to collaborate to deliver 5G mobile edge computing

Verizon | December 18, 2021

Verizon and Google Cloud are working together to bring the power of the cloud closer to mobile and connected devices at the edge of Verizon's network. With Verizon 5G Edge with Google Distributed Cloud Edge, Verizon plans to bring Google’s compute and storage services to the edge of the local network enabling the bandwidth and low latency needed to support real-time enterprise applications like autonomous mobile robots, intelligent logistics and factory automation. The companies expect that this combination of Verizon's private On Site 5G and private 5G Edge with Google Distributed Cloud Edge will enable enterprises in industries from retail to manufacturing to unlock the power of 5G and mobile edge computing and gain operational efficiencies, higher levels of security and reliability, and improved productivity. Verizon and Google Cloud also plan to develop public 5G mobile edge computing for developers and enterprises. The public 5G Edge solution has the potential to enable developers to build and deploy applications at the edge of Verizon’s wireless network in various locations throughout the U.S. “By working with partners like Google Cloud and Ericsson, we’re building the 5G edge compute ecosystem that will enable enterprises in many industries to benefit from having a completely dedicated private network and edge compute infrastructure on premise,” said Rima Qureshi, Chief Strategy Officer at Verizon. “5G Edge with Google Distributed Cloud Edge will give our customers the ability to connect and manage a broad range of devices at scale and speed while also providing highly secure, near real-time connectivity. This will allow companies to unlock greater value from data and enable innovative applications involving computer vision, augmented and virtual reality, and machine learning.” “Through our planet-scale infrastructure and expertise in data analytics, artificial intelligence and machine learning, Google Cloud is enabling the rapid development and deployment of new services and applications,” said Thomas Kurian, CEO of Google Cloud. “By bringing intelligence from data centers to the network edge, Verizon 5G Edge with Google Distributed Cloud Edge will allow customers to build new cross-industry edge solutions, unlock new revenue models, and transform the next generation of customer experiences – from AI-driven in-store operations to live inventory management on the factory floor, the possibilities span multiple industries.” Verizon and Ericsson To Pilot Private Mobile Edge Computing at USA 5G Smart Factory Ericsson, in collaboration with Verizon, will pilot 5G Edge with Google Distributed Cloud Edge as part of a proof of concept at its USA 5G Smart Factory. The first trial use case involves Verizon's Sensor Intelligence solution, which involves attaching a camera to an autonomous mobile robot that will scan packages to maintain inventory and location of indirect materials in the factory's warehouse. Then, using computer vision, the robot will communicate the bar code and shipping label data via 5G and mobile edge computing to the inventory management system, providing real-time analytics to improve logistics. "Ericsson's Smart Factory is where we're putting the principles of the Fourth Industrial Revolution into action,Technologies like Verizon's 5G Edge, which is built on Ericsson's 5G Private Network technology, are critical for unlocking 5G's true potential, and this pilot brings real-time data to make operations more efficient, secure, and cost-effective. Testing this technology with autonomous mobile robots in our Smart Factory is an important step on the journey to the factory of the future." Niklas Heuveldop, President and Head of Ericsson North America About Verizon Verizon Communications Inc. (NYSE, Nasdaq: VZ) was formed on June 30, 2000 and is one of the world’s leading providers of technology, communications, information and entertainment products and services. Headquartered in New York City and with a presence around the world, Verizon generated revenues of $128.3 billion in 2020. The company offers data, video and voice services and solutions on its award-winning networks and platforms, delivering on customers’ demand for mobility, reliable network connectivity, security and control. About Google Cloud Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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HYPER-CONVERGED INFRASTRUCTURE

Nutanix Named a 2022 Gartner® Peer Insights™ Customers’ Choice for Hyperconverged Infrastructure Software and Distributed Files and Object Storage

Nutanix | May 24, 2022

Nutanix , a leader in hybrid multicloud computing, announced today that it has been named a Customers’ Choice in the 2022 Gartner Peer Insights ‘Voice of the Customer’ for Hyperconverged Infrastructure Software (HCI) for the fourth consecutive year and for Distributed File Systems and Object Storage for the second consecutive year. Nutanix believes these distinctions showcase the strong value of Nutanix Cloud Infrastructure (NCI) and Nutanix Unified Storage, which provide customers with simple and flexible software solutions and unique and seamless storage offerings. “We are incredibly appreciative to see our customers tell our story through product reviews on Gartner Peer Insights. These repeat distinctions validate our focus on the complete customer experience for IT, even as we add new differentiated value to the Nutanix Cloud Platform.” Lee Caswell, Senior Vice President, Product and Solutions Marketing at Nutanix The Customers’ Choice recognition is based on detailed feedback from customer ratings over an 18-month period, ending February 28, 2022 for HCI and January 31, 2022 for Distributed File Systems and Object Storage. NCI holds an overall rating of 4.8 out of 5, and Nutanix Unified Storage holds an overall rating of 4.7 out of 5.* NCI provides a complete software solution including virtual compute, storage and networking for virtual machines and containers, that can be deployed in private data centers on the hardware of a customer’s choice or in public clouds with built-in resilience, self-healing, performance, disaster recovery capabilities, and security. Running NCI on public cloud enables customers to accelerate their journey to hybrid cloud for agility, elasticity, and application modernization while maintaining the operational efficiency of a unified cloud environment with common management and policies across clouds. Nutanix Unified Storage delivers distributed and software defined storage for multiple protocols (volumes, files, objects) to support a variety of workloads deployed anywhere – private, public, or hybrid cloud – with license portability in between. Nutanix provides customers with the unique ability to use block, files, and object storage on the same platform. A single point of management for all storage resources eliminates complexity of multiple interfaces and enables non-storage experts to handle most day-to-day storage and data management tasks. Intelligent analytics integrated into the solution provide data visibility and deep insights for governance and security of data. About Nutanix Nutanix is a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, making clouds invisible, freeing customers to focus on their business outcomes. Organizations around the world use Nutanix software to leverage a single platform to manage any app at any location for their hybrid multicloud environments. Learn more at www.nutanix.com or follow us on social media @nutanix.

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APPLICATION INFRASTRUCTURE

Run:ai Completes Proof of Concept with NVIDIA to Maximize GPU Workload Flexibility on Any Cloud

Run:AI | March 25, 2022

Run:ai, the company simplifying AI infrastructure orchestration and management, today announced details of a completed proof of concept (POC) which enables multi-cloud GPU flexibility for companies using NVIDIA GPUs in the cloud. NVIDIA's software suite includes virtual machine images, or VMIs, which are optimized for NVIDIA GPUs running in clouds such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud. Run:ai software deployed on NVIDIA VMIs enables cloud customers to move AI workloads from one cloud to another, as well as to use multiple clouds simultaneously for different AI workloads with zero code changes. Run:ai's workload-aware orchestration ensures that every type of AI workload gets the right amount of compute resources when needed, and provides deep integration into NVIDIA GPUs to achieve optimal utilization of these resources. Run:ai's Kubernetes-based Atlas platform and NVIDIA VMIs were used together in the POC to support 'lift & shift' as well as multi-node scaling in the cloud. NVIDIA customers and partners can de-risk their AI cloud deployments with a streamlined and portable solution for cloud AI infrastructure from Run:ai. Customers looking to cost-optimize their cloud computing resources can choose among supported cloud providers for the best-fit configuration. They can also manage AI workloads on multiple clouds with a single control plane. NVIDIA VMIs are available on each of the major public cloud providers. NVIDIA publishes these with regular updates to both OS and drivers. The VMIs are optimized for performance on the latest generations of NVIDIA GPUs and allow for easy and fast deployment of GPU-accelerated instances on the public cloud. "By combining accelerated computing power from NVIDIA with Run:ai's Atlas platform, organizations have a stellar AI foundation that enables them to successfully deliver on their AI initiatives," said Omri Geller, CEO and co-founder of Run:ai. "We appreciate the close relationship we have with the NVIDIA cloud team and their commitment to support NVIDIA accelerated computing customers everywhere." "From innovative startups to world-leading enterprises, NVIDIA-accelerated cloud computing provides customers with flexible options for powering their most demanding workloads. Paired with NVIDIA-accelerated instances from leading cloud service providers, the Run:ai Atlas platform helps customers maximize the efficiency and value of AI workload operations." Paresh Kharya, senior director, Accelerated Computing at NVIDIA The Run:ai Atlas Platform brings simplicity to GPU management by providing researchers with on-demand access to pooled resources for any AI workload and has built-in integration with NVIDIA Triton Inference Server, NVIDIA's open source inference serving software that lets teams deploy trained AI models from any framework on GPU or CPU infrastructure. As an innovative cloud-native operating-system which includes a workload-aware scheduler and a GPU abstraction layer, the platform helps IT managers simplify AI implementation, increase team productivity, and gain full utilization of GPUs. Run:ai now offers a simple solution to teams with a multi-cloud AI infrastructure strategy. The solution is available in beta - reach out to partners@run.ai to learn more. Additionally, Run:ai and NVIDIA are further expanding their collaboration to support customers who are operationalizing AI development. Run:ai is among the NVIDIA DGX-Ready Software partners joining the NVIDIA AI Accelerated program, which offers customers validated, enterprise-grade workflow and cluster management, scheduling and orchestration solutions for a variety of NVIDIA accelerated systems.

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HYPER-CONVERGED INFRASTRUCTURE

Sunlight.io launches first hyperconverged stack supporting the NVIDIA Jetson-based Lenovo ThinkEdge SE70 to make edge AI deployable at scale

Sunlight | June 30, 2022

Sunlight.io, the edge infrastructure company, today announced support for the NVIDIA Jetson™ edge AI platform, and the Lenovo SE70, with the launch of its beta program — ‘Project Rosie.’ Sunlight NexVisor is the first full hyperconverged stack to support the Arm-CPU-based NVIDIA Jetson. Sunlight NexVisor coupled with the Lenovo SE70 makes it easy to deploy AI applications anywhere at the edge. Application developers can be the first to access the technology and test their AI applications by applying here. AI is a ‘killer application’ at the edge where it is bringing real-time “insight to action” across a wide range of use cases. For example, computer vision — combining cameras, video streaming and analytics — is being implemented at drive-thrus nationwide for faster and more personalized food ordering; on manufacturing production lines to instantly identify and remove faulty items; and across smart cities to enhance population and crowd security. These sorts of AI applications need high levels of processing power with low latency and reliable networking in order to give real-time results. Enterprises want to replicate the simplicity of the hyperconverged infrastructure they enjoy in their core data centers for their edge AI applications. However, datacenter HCI isn’t able to run in the constrained environments that exist at the edge due to their large RAM and CPU overhead and lack of edge management capabilities. This makes edge deployments extremely resource intensive to manage and hard to scale. Sunlight NexVisor is the only hyperconverged stack that is able to run on both x86 and Arm architectures and with a tiny footprint suitable for constrained edge environments. It includes centralized management and application deployment capabilities. NVIDIA Jetson is the world's leading platform for AI at the edge. NVIDIA Jetson modules are small form-factor, high-performance computers containing an Arm processor and GPU. The combination of Sunlight NexVisor and the NVIDIA Jetson-powered Lenovo ThinkEdge SE70 makes it possible to run demanding edge AI applications in harsh environments that span hundreds or thousands of sites with easy single-pane-of-glass management, low TCO and tiny power and space requirements. Sunlight is a member of NVIDIA Inception, a global program designed to nurture cutting-edge startups. Scott Tease, Lenovo’s VP for HPC and AI said, "Our customers realize the advantages of edge AI and deploying solutions closer to the point of data capture to run real-time inferencing. That is why we are so excited to be partnering up with Sunlight as they support our edge portfolio to significantly improve the efficiency and economics of AI deployments for customers worldwide." “We are excited to launch this exclusive beta program for users who need to run efficient, manageable AI out where the data is generated — at the edge. “Sunlight already offers full support for the Lenovo ThinkEdge and ThinkSystem range, including the Intel-based SE30, SE50, SE350 and SE450. Together, we’ve been able to produce a truly industry-first solution by combining Sunlight’s turn-key, edge-as-a-service offering with Lenovo’s leading AI edge platform powered by NVIDIA Jetson. Sunlight was born out of a collaboration with Arm back in 2013 to build a lightweight hypervisor, and we’re seeing huge demand for the use of Arm-based servers at the edge due to their performance and power-efficiency.” Julian Chesterfield, Founder and CEO of Sunlight About Sunlight The Sunlight Edge is a reliable, secure, zero-touch and economic infrastructure that helps turn your critical edge data into real-time insight and action across your retail stores, manufacturing lines and smart cities. Sunlight makes running and managing applications and infrastructure at the edge as easy as in the cloud. Sunlight works with efficient, ruggedized edge hardware — so you can consolidate all of your in-location edge applications with full isolation, security and high availability.

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Spotlight

With the emergence of IoT, the inheritance of technology into our lives has gone up by a notch. Starting with what it is, in the simplest terms, it is the concept of connecting various things or smart devices as they are called, to the internet. The platform of The Internet of Things brings diverse information together and provides the common language of devices and apps to communicate with each other.

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