Chadwell will be responsible for managing SoftIron's flagship HyperDrive and HyperSwitch product families

prnewswire | September 29, 2020

SoftIron Ltd., the leader in purpose-built and performance-optimized data center solutions, today announced the appointment of Craig Chadwell to the role of Vice President of Product to lead the company's product strategy. Chadwell, who joins SoftIron from Lenovo, will be responsible for managing SoftIron's flagship HyperDrive® storage, HyperSwitch networking, and HyperCast transcoding product families, and identifying and developing new product opportunities for SoftIron.

Spotlight

Software-Defined Infrastructure: More Bang, Less Buck
Infrastructure scalability is costly and deployment is slow; see how software-defined infrastructure boosts agility and cost-effectiveness.

Spotlight

Software-Defined Infrastructure: More Bang, Less Buck
Infrastructure scalability is costly and deployment is slow; see how software-defined infrastructure boosts agility and cost-effectiveness.

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APPLICATION INFRASTRUCTURE,STORAGE MANAGEMENT,DATA STORAGE

AWS and Atos Strengthen Collaboration with New Strategic Partnership to Transform the Infrastructure Outsourcing Industry

Amazon Web Services | December 01, 2022

At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, and Atos, a global leader in digital transformation, high performance computing and information technology infrastructure, today announced a Global Strategic Transformation Agreement that enables Atos customers with large-scale infrastructure outsourcing contracts to accelerate workload migrations to the cloud and achieve digital transformation. The multiyear, industry-first agreement extends the strategic relationship between Atos and AWS, with Atos selecting AWS as its preferred enterprise cloud provider and AWS naming Atos as a strategic partner for IT outsourcing and data center transformation. This agreement provides business and technology advisory, digital engineering, and managed services to Atos’ customers to accelerate their journeys to the cloud. AWS will also work with Atos to develop and deliver new industry solutions for IT outsourcing and data center transformation to customers globally, as well as to upskill Atos’ workforce and drive efficiencies in its data center, cloud, and security operations, including selective migration of legacy data centers and IT hardware assets. As part of the agreement, Atos will proactively consult with more than 800 managed infrastructure services customers spanning the globe to offer a new managed, hybrid-cloud service portfolio that features the option to move selected workloads to AWS. The offering will include highly industrialized migration methodology, solution accelerators, and the companies’ combined expertise in large-scale cloud migrations to support customers as they adopt and move their workloads to AWS. Atos’ customers will be able to leverage the breadth and depth of AWS’s portfolio of services—including analytics, compute, databases, machine learning, and storage—and Atos’ expertise as a Global Systems Integrator to benefit from the flexibility, security, resilience, innovation and sustainability offered through the cloud. As part of the strategic partnership, Atos’ employees will also be trained on AWS, scaling up their skills and knowledge to continue supporting customers on their digital transformation journeys. Over the next three years, Atos plans to train its employees to achieve more than 20,000 AWS certifications in order to expedite customers’ cloud adoption and help them leverage the advantages of the cloud. “We are proud to strengthen our partnership with AWS in a first-of-its-kind collaboration, which is transformational in both its approach and its impact on our customers and the IT outsourcing industry. In addition, this partnership represents another significant step in Atos’ transformation. “As a trusted partner, we are offering our customers the opportunity to accelerate their migration to AWS’s powerful, proven, cost-effective, and scalable cloud infrastructure, while supporting them in their digital transformation journey.” Nourdine Bihmane, Co-CEO in charge of the Tech Foundations Business line at Atos “This marks the beginning of a significant transformation of the infrastructure outsourcing industry. Through our collaboration, Atos’ customers will be able to realize the benefits of moving to the cloud, including reduced operating costs and carbon emissions, as well as increased business value and accelerated digital innovation,” Ruba Borno, vice president, Worldwide Channels & Alliances, AWS. “We’re excited at the opportunity to work with Atos to upskill their workforce, helping to expand their expertise in cloud technologies so they can enable customers to build, develop, and innovate on the world’s leading cloud.” “We are delighted to hear that Atos has signed a new strategic agreement with AWS. Having been our strategic IT partners for many years, the announcement further demonstrates Atos’ and AWS’s commitments to maximizing the potential of moving critical systems to the public cloud in terms of agility and cost effectiveness, all while minimizing environmental footprint.” Peter Brown, director of IT Operations and Infrastructure, Britvic. Britvic is a UK Headquartered corporation that makes drinks in Great Britain, Brazil, France and Ireland and exports to more than 100 countries around the world. It owns major soft drinks brands including Robinsons squash, J20 and Fruit Shoot, and is the PepsiCo bottler in the UK. About Amazon Web Services For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 96 Availability Zones within 30 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Australia, Canada, Israel, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. About Atos Atos is a global leader in digital transformation with 112,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

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HYPER-CONVERGED INFRASTRUCTURE, APPLICATION INFRASTRUCTURE, STORAGE MANAGEMENT

Alphawave IP Acquires Optical DSP Chip Developer Banias Labs, Advancing its Optical DSP Products for Data Centers

Alphawave IP | October 17, 2022

Alphawave IP Group plc, a global leader in high-speed connectivity for the world's technology infrastructure today announced the acquisition of Banias Labs, an Israel-based optical Digital Signal Processing ("DSP") chip developer for data centers for approximately US$240 million. The acquisition strengthens Alphawave's roadmap of optical DSP silicon products for data centers, a core high growth market for Alphawave. Alongside the acquisition of Banias Labs, Alphawave has negotiated a non-binding, multi-year purchasing framework with a leading North American hyperscaler that proposes a multi-year roadmap for Alphawave to develop and sell a portfolio of optical products and DSPs, including coherent DSP technology from Banias Labs, with sales potentially ramping to over US$300 million. "Banias Labs optical DSP technology provides a strong strategic advantage for Alphawave, strengthening our roadmap of DSP silicon solutions for data centers. This acquisition enhances our portfolio of electrical and optical solutions in the most advanced process technologies. The multi-year purchasing framework includes coherent optical solutions, and with the Banias acquisition, Alphawave is expanding its total addressable market by delivering next generation coherent optical solutions for the most advanced data centers." Tony Pialis, President and Chief Executive Officer of Alphawave John Lofton Holt, Executive Chairman of Alphawave said: "We are pleased to welcome the talented Banias Labs team to Alphawave. This acquisition aligns with the strategic priorities that we articulated at our IPO, expanding our technology portfolio in high-speed connectivity to support long-term growth. Coherent optics will enable the next level of efficiencies in data center communications, addressing the increasing bandwidth and power efficiency requirements." About Coherent Optics Coherent optics is the next evolution of optical solutions, the cornerstone of the industry's efforts to achieve 800G and 1.6T Ethernet speeds while maintaining the required reaches inside and outside of data centers and also significantly reducing power consumption. Coherent technology is predominantly used today in long reaches of over 100km connecting data centers and in telecommunications. Banias Labs' optical DSP technology strengthens Alphawave's optical products roadmap by targeting a growing opportunity for coherent optical technology intra-data center, as shorter reaches adopt this technology.

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HYPER-CONVERGED INFRASTRUCTURE,APPLICATION INFRASTRUCTURE,IT SYSTEMS MANAGEMENT

Run:ai Launches Full-Stack Solution for Hyper-Optimized Enterprise AI Built on NVIDIA DGX Systems

Run:ai | November 11, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced the launch of the Run:ai MLOps Compute Platform (MCP) powered by NVIDIA DGX™ Systems, a complete, full-stack AI solution for enterprises. Built on NVIDIA DGX systems and using Run:ai Atlas software, Run:ai MCP is an end-to-end AI infrastructure platform that seamlessly orchestrates the hardware and software complexities of AI development and deployment into a single solution, accelerating a company's ROI from artificial intelligence. Organizations are increasingly turning to AI to grow revenue and improve efficiency. However, each level of the AI stack, from hardware to high-level software, can create challenges and inefficiencies, with multiple teams competing for the same limited GPU computing time. "shadow AI," where individual teams buy their own infrastructure or use pricey cloud compute resources, has become common. This decentralized approach leads to idle resources, duplication, increased expense and delayed time to market. Run:ai MCP is designed to overcome these potential roadblocks to successful AI deployments. "Enterprises are investing heavily in data science to deliver on the promise of AI, but they lack a single, end-to-end AI infrastructure to ensure access to the resources their practitioners need to succeed," said Omri Geller, co-founder and CEO of Run:ai. "This is a unique, best-in-class hardware/software AI solution that unifies our AI workload orchestration with NVIDIA DGX systems — the universal AI system for every AI workload — to deliver unprecedented compute density, performance and flexibility. Our early design partners have achieved remarkable results with MCP including a 200-500% improved utilization and ROI on their GPUs, which demonstrates the power of this solution to address the biggest bottlenecks in the development of AI." "AI offers incredible potential for enterprises to grow sales and reduce costs, and simplicity is key for businesses seeking to develop their AI capabilities. "As an integrated solution featuring NVIDIA DGX systems and the Run:ai software stack, Run:ai MCP makes it easier for enterprises to add the infrastructure needed to scale their success." Matt Hull, vice president of Global AI Data Center Solutions at NVIDIA Run:ai MCP powered by NVIDIA DGX systems with NVIDIA Base Command is a full-stack AI solution that can be obtained from distributors and simply installed with world-class enterprise support, including direct access to NVIDIA and Run:ai experts. With MCP, compute resources are gathered into a centralized pool that can be managed and provisioned by one team, but delivered to many users with self-service access. A cloud-native operating system helps IT manage everything from fractions of NVIDIA GPUs to large-scale distributed training. Run:ai's workload-aware orchestration ensures that every type of AI workload gets the right amount of compute resources when needed. The solution provides MLOps tools while preserving freedom for developers to use their preferred tools via integrations with Kubeflow, Airflow, MLflow and more. This bundle is the latest in a series of Run:ai's collaborations with NVIDIA, including Run:ai's Atlas Platform certification on the NVIDIA AI Enterprise software suite, which is included with NVIDIA DGX systems. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management — providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system — which includes a workload-aware scheduler and an abstraction layer — helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

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