ASRock Rack Inc., a leading innovative server company, is announcing its 6U8X-EGS2 series at booth 1617 during the NVIDIA GTC global AI conference in San Jose, USA. The 6U8X-EGS2 NVIDIA H100 and 6U8X-EGS2 NVIDIA H200 are ASRock Rack's most powerful AI training systems, capable of accommodating NVIDIA HGX H200 8-GPUs. The 6U rack mounts are able of providing airflow for the highest CPU and GPU performance. In addition to the eight-way configuration, the 6U8X-EGS2 series offers 12 PCIe Gen 5 NVMe drive bays and multiple PCIe 5.0 x16 slots, as well as a 4+4 PSU for full redundancy.

ASRock Rack is also developing servers that support the new NVIDIA HGX B200 8-GPU to handle the most demanding generative AI applications, accelerate large language models, and cater to data analytics and high-performance computing workloads. "At GTC, NVIDIA announced its new NVIDIA Blackwell platform, and we are glad to contribute to the new era of computing by providing a wide range of server hardware products that will support it," said Hunter Chen, Vice President at ASRock Rack. "Our products provide organizations with the foundation to transform their businesses and leverage the advancements of accelerated computing."

NVIDIA today announced a new wave of networking switches, the X800 series, designed for massive-scale AI. The world's first networking platforms capable of end-to-end 800 Gb/s throughput, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum -X800 Ethernet push the boundaries of networking performance for computing and AI workloads. They feature software that further accelerates AI, cloud, data processing and HPC applications in every type of data center, including those that incorporate the newly released NVIDIA Blackwell architecture-based product lineup.

"NVIDIA Networking is central to the scalability of our AI supercomputing infrastructure," said Gilad Shainer, senior vice president of Networking at NVIDIA. "NVIDIA X800 switches are end-to-end networking platforms that enable us to achieve trillion-parameter-scale generative AI essential for new AI infrastructures."

The spirit of software pioneer Grace Hopper will live on at NVIDIA GTC. Accelerated systems using powerful processors - named in honor of the pioneer of software programming - will be on display at the global AI conference running March 18-21, ready to take computing to the next level. System makers will show more than 500 servers in multiple configurations across 18 racks, all packing NVIDIA GH200 Grace Hopper Superchips. They'll form the largest display at NVIDIA's booth in the San Jose Convention Center, filling the MGX Pavilion.

MGX Speeds Time to Market
NVIDIA MGX is a blueprint for building accelerated servers with any combination of GPUs, CPUs and data processing units (DPUs) for a wide range of AI, high performance computing and NVIDIA Omniverse applications. It's a modular reference architecture for use across multiple product generations and workloads. GTC attendees can get an up-close look at MGX models tailored for enterprise, cloud and telco-edge uses, such as generative AI inference, recommenders and data analytics. The pavilion will showcase accelerated systems packing single and dual GH200 Superchips in 1U and 2U chassis, linked via NVIDIA BlueField-3 DPUs and NVIDIA Quantum-2 400 Gb/s InfiniBand networks over LinkX cables and transceivers. The systems support industry standards for 19- and 21-inch rack enclosures, and many provide E1.S bays for nonvolatile storage.

Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, delivers an expanded portfolio of purpose-built infrastructure solutions to accelerate performance and increase efficiency in 5G and telecom workloads. With one of the industry's most diverse offerings, Supermicro enables customers to expand public and private 5G infrastructures with improved performance per watt and support for new and innovative AI applications. As a long-term advocate of open networking platforms and a member of the O-RAN Alliance, Supermicro's portfolio incorporates systems featuring 5th Gen Intel Xeon processors, AMD EPYC 8004 Series processors, and the NVIDIA Grace Hopper Superchip.

"Supermicro is expanding our broad portfolio of sustainable and state-of-the-art servers to address the demanding requirements of 5G and telco markets and Edge AI," said Charles Liang, president and CEO of Supermicro. "Our products are not just about technology, they are about delivering tangible customer benefits. We quickly bring data center AI capabilities to the network's edge using our Building Block architecture. Our products enable operators to offer new capabilities to their customers with improved performance and lower energy consumption. Our edge servers contain up to 2 TB of high-speed DDR5 memory, 6 PCIe slots, and a range of networking options. These systems are designed for increased power efficiency and performance-per-watt, enabling operators to create high-performance, customized solutions for their unique requirements. This reassures our customers that they are investing in reliable and efficient solutions."

Supermicro, Inc., a Total IT Solution manufacturer for AI, Cloud, Storage, and 5G/Edge, is announcing one of the industry's broadest portfolios of new GPU systems based on the NVIDIA reference architecture, featuring the latest NVIDIA GH200 Grace Hopper and NVIDIA Grace CPU Superchip. The new modular architecture is designed to standardize AI infrastructure and accelerated computing in compact 1U and 2U form factors while providing ultimate flexibility and expansion ability for current and future GPUs, DPUs, and CPUs. Supermicro's advanced liquid-cooling technology enables very high-density configurations, such as a 1U 2-node configuration with 2 NVIDIA GH200 Grace Hopper Superchips integrated with a high-speed interconnect. Supermicro can deliver thousands of rack-scale AI servers per month from facilities worldwide and ensures Plug-and-Play compatibility.

"Supermicro is a recognized leader in driving today's AI revolution, transforming data centers to deliver the promise of AI to many workloads," said Charles Liang, president and CEO of Supermicro. "It is crucial for us to bring systems that are highly modular, scalable, and universal for rapidly evolving AI technologies. Supermicro's NVIDIA MGX-based solutions show that our building-block strategy enables us to bring the latest systems to market quickly and are the most workload-optimized in the industry. By collaborating with NVIDIA, we are helping accelerate time to market for enterprises to develop new AI-enabled applications, simplifying deployment and reducing environmental impact. The range of new servers incorporates the latest industry technology optimized for AI, including NVIDIA GH200 Grace Hopper Superchips, BlueField, and PCIe 5.0 EDSFF slots."

NVIDIA today announced the world's leading system manufacturers will deliver AI-ready servers that support VMware Private AI Foundation with NVIDIA, announced separately today, to help companies customize and deploy generative AI applications using their proprietary business data. NVIDIA AI-ready servers will include NVIDIA L40S GPUs, NVIDIA BlueField -3 DPUs and NVIDIA AI Enterprise software to enable enterprises to fine-tune generative AI foundation models and deploy generative AI applications like intelligent chatbots, search and summarization tools. These servers also provide NVIDIA-accelerated infrastructure and software to power VMware Private AI Foundation with NVIDIA.

NVIDIA L40S-powered servers from leading global system manufacturers - Dell Technologies, Hewlett Packard Enterprise and Lenovo . will be available by year-end to accelerate enterprise AI. "A new computing era has begun," said Jensen Huang, founder and CEO of NVIDIA. "Companies in every industry are racing to adopt generative AI. With our ecosystem of world-leading software and system partners, we are bringing generative AI to the world's enterprises."

According to the NVIDIA roadmap that was spotted in the recently published MLCommons training results, the Ada Lovelace successor is set to come in 2025. The roadmap also reveals the schedule for Hopper Next and Grace Next GPUs, as well as the BlueField-4 DPU.

While the roadmap does not provide a lot of details, it does give us a general idea of when to expect NVIDIA's next GeForce architecture. Since NVIDIA usually launches a new GeForce architecture every two years or so, the latest schedule might sound like a small delay, at least if it plans to launch the Ada Lovelace Next in early 2025 and not later. NVIDIA Pascal was launched in May 2016, Turing in September 2018, Ampere in May 2020, and Ada Lovelace in October 2022.

BBT.live, the Tel Aviv-based startup that has developed an all-in-one, tech-agnostic, software-defined connectivity solution, has announced a new technology innovation powered by NVIDIA. As a result, BBT.live, the software-defined connectivity platform, will run on NVIDIA BlueField data processing units (DPUs) to unlock the benefits of cloud-based connectivity solutions to businesses at every scale.

Modern workloads are experiencing an ever-growing need for network efficiency, privacy, and security. Businesses and enterprises that depend on solutions require additional hardware and integration, which introduces additional complexity and points of failure. BBT.live's proprietary technology, recognized by the Israel Innovation Authority, is device agnostic. It integrates with a variety of different hardware platforms (uCPE) without the need for time-consuming customization.

NVIDIA today announced a new data center solution with Dell Technologies designed for the era of AI, bringing state-of-the-art AI training, AI inference, data processing, data science and zero-trust security capabilities to enterprises worldwide. The solution combines Dell PowerEdge servers with NVIDIA BlueField DPUs, NVIDIA GPUs and NVIDIA AI Enterprise software, and is optimized for VMware vSphere 8 enterprise workload platform, also announced today.

"AI and zero-trust security are powerful forces driving the world's enterprises to rearchitect their data centers as computing and networking workloads are skyrocketing," said Manuvir Das, head of Enterprise Computing at NVIDIA. "VMware vSphere 8 offloads, accelerates, isolates and better secures data center infrastructure services onto the NVIDIA BlueField DPU, and frees the computing resources to process the intelligence factories of the world's enterprises."

NVIDIA today announced NVIDIA Quantum-2, the next generation of its InfiniBand networking platform, which offers the extreme performance, broad accessibility and strong security needed by cloud computing providers and supercomputing centers.

The most advanced end-to-end networking platform ever built, NVIDIA Quantum-2 is a 400 Gbps InfiniBand networking platform that consists of the NVIDIA Quantum-2 switch, the ConnectX-7 network adapter, the BlueField-3 data processing unit (DPU) and all the software that supports the new architecture.

NVIDIA (NASDAQ: NVDA) today reported record revenue for the second quarter ended August 1, 2021, of $6.51 billion, up 68 percent from a year earlier and up 15 percent from the previous quarter, with record revenue from the company's Gaming, Data Center and Professional Visualization platforms. GAAP earnings per diluted share for the quarter were $0.94, up 276 percent from a year ago and up 24 percent from the previous quarter. Non-GAAP earnings per diluted share were $1.04, up 89 percent from a year ago and up 14 percent from the previous quarter.

"NVIDIA's pioneering work in accelerated computing continues to advance graphics, scientific computing and AI," said Jensen Huang, founder and CEO of NVIDIA. "Enabled by the NVIDIA platform, developers are creating the most impactful technologies of our time - from natural language understanding and recommender systems, to autonomous vehicles and logistic centers, to digital biology and climate science, to metaverse worlds that obey the laws of physics.

NVIDIA today officially launched Cambridge-1, the United Kingdom's most powerful supercomputer, which will enable top scientists and healthcare experts to use the powerful combination of AI and simulation to accelerate the digital biology revolution and bolster the country's world-leading life sciences industry. Dedicated to advancing healthcare, Cambridge-1 represents a $100 million investment by NVIDIA. Its first projects with AstraZeneca, GSK, Guy's and St Thomas' NHS Foundation Trust, King's College London and Oxford Nanopore Technologies include developing a deeper understanding of brain diseases like dementia, using AI to design new drugs and improving the accuracy of finding disease-causing variations in human genomes.

Cambridge-1 brings together decades of NVIDIA's work in accelerated computing, AI and life sciences, where NVIDIA Clara and AI frameworks are optimized to take advantage of the entire system for large-scale research. An NVIDIA DGX SuperPOD supercomputing cluster, it ranks among the world's top 50 fastest computers and is powered by 100 percent renewable energy.

NVIDIA (NASDAQ: NVDA) today reported record revenue for the first quarter ended May 2, 2021, of $5.66 billion, up 84 percent from a year earlier and up 13 percent from the previous quarter, with record revenue from the company's Gaming, Data Center and Professional Visualization platforms. GAAP earnings per diluted share for the quarter were a record $3.03, up 106 percent from a year ago and up 31 percent from the previous quarter. Non-GAAP earnings per diluted share were $3.66, up 103 percent from a year earlier and up 18 percent from the previous quarter.

"We had a fantastic quarter, with strong demand for our products driving record revenue," said Jensen Huang, founder and CEO of NVIDIA. "Our Data Center business continues to expand, as the world's industries take up NVIDIA AI to process computer vision, conversational AI, natural language understanding and recommender systems. NVIDIA RTX has reinvented computer graphics and is driving upgrades across the gaming and design markets. Our partners are launching the largest-ever wave of NVIDIA-powered laptops. Across industries, the adoption of NVIDIA computing platforms is accelerating.

NVIDIA today announced the NVIDIA BlueField -3 DPU, its next-generation data processing unit, to deliver the most powerful software-defined networking, storage and cybersecurity acceleration capabilities available for data centers.

The first DPU built for AI and accelerated computing, BlueField-3 lets every enterprise deliver applications at any scale with industry-leading performance and data center security. It is optimized for multi-tenant, cloud-native environments, offering software-defined, hardware-accelerated networking, storage, security and management services at data-center scale.