Giga Computing, a subsidiary of GIGABYTE and an industry leader in generative AI servers and advanced cooling technologies, today announced its first wave of GIGABYTE servers for Intel Xeon 6 Processors with P-cores. This new Intel Xeon platform is engineered to optimize per-core-performance for compute-intensive and AI intensive workloads, as well as general purpose applications. GIGABYTE servers for these workloads are built to achieve the best possible performance by fine tuning the server design to the chip design and to specific workloads. ⁠

All new GIGABYTE servers support Intel Xeon 6900-series processors with P-cores that have up to 128 cores and up to 96 PCIe Gen 5 lanes. Additionally, for greater performance in memory intensive workloads, the 6900-series expands to 12 channel memory, and makes available up to 64 lanes CXL 2.0. Overall, this modular SOC architecture has great potential with the ability to leverage a shared platform for running both performance and efficiency optimized architecture.⁠

Dell Technologies is strengthening its collaboration with NVIDIA to help enterprises adopt AI technologies. By expanding the Dell Generative AI Solutions portfolio, including with the new Dell AI Factory with NVIDIA, organizations can accelerate integration of their data, AI tools and on-premises infrastructure to maximize their generative AI (GenAI) investments. "Our enterprise customers are looking for an easy way to implement AI solutions—that is exactly what Dell Technologies and NVIDIA are delivering," said Michael Dell, founder and CEO, Dell Technologies. "Through our combined efforts, organizations can seamlessly integrate data with their own use cases and streamline the development of customized GenAI models."

"AI factories are central to creating intelligence on an industrial scale," said Jensen Huang, founder and CEO, NVIDIA. "Together, NVIDIA and Dell are helping enterprises create AI factories to turn their proprietary data into powerful insights."

GIGABYTE Technology and Giga Computing, a subsidiary of GIGABYTE and an industry leader in enterprise solutions, will showcase their solutions at the GIGABYTE booth #1224 at NVIDIA GTC, a global AI developer conference running through March 21. This event will offer GIGABYTE the chance to connect with its valued partners and customers, and together explore what the future in computing holds.

The GIGABYTE booth will focus on GIGABYTE's enterprise products that demonstrate AI training and inference delivered by versatile computing platforms based on NVIDIA solutions, as well as direct liquid cooling (DLC) for improved compute density and energy efficiency. Also not to be missed at the NVIDIA booth is the MGX Pavilion, which features a rack of GIGABYTE servers for the NVIDIA GH200 Grace Hopper Superchip architecture.

NVIDIA today announced that it is collaborating with Hon Hai Technology Group (Foxconn) to accelerate the AI industrial revolution. Foxconn will integrate NVIDIA technology to develop a new class of data centers powering a wide range of applications—including digitalization of manufacturing and inspection workflows, development of AI-powered electric vehicle and robotics platforms, and a growing number of language-based generative AI services.

Announced in a fireside chat with NVIDIA founder and CEO Jensen Huang and Foxconn Chairman and CEO Young Liu at Hon Hai Tech Day, in Taipei, the collaboration starts with the creation of AI factories—an NVIDIA GPU computing infrastructure specially built for processing, refining and transforming vast amounts of data into valuable AI models and tokens—based on the NVIDIA accelerated computing platform, including the latest NVIDIA GH200 Grace Hopper Superchip and NVIDIA AI Enterprise software.

ASUS today announced that ESC8000 and ESC4000 servers with the latest NVIDIA L40S GPUs are ready for order with greater availability and better performance per dollar. To transform with generative AI, enterprises need to deploy more compute resources at a larger scale - and ASUS offers eight-GPU and four-GPU NVIDIA L40S servers to accelerate training, fine tuning and inference workloads, with powerful performance to build and deploy AI models.

In addition, ASUS is one of only a handful NVIDIA OVX server system providers in the world, and we development our own innovative AI LLM technology deliver comprehensive and true generative-AI solutions. Learn more about ASUS L40S solutions.

NVIDIA today announced NVIDIA OVX servers featuring the new NVIDIA L40S GPU, a powerful, universal data center processor designed to accelerate the most compute-intensive, complex applications, including AI training and inference, 3D design and visualization, video processing and industrial digitalization with the NVIDIA Omniverse platform. The new GPU powers accelerated computing workloads for generative AI, which is transforming workflows and services across industries, including text, image and video generation, chatbots, game development, product design and healthcare.

"As generative AI transforms every industry, enterprises are increasingly seeking large-scale compute resources in the data center," said Bob Pette, vice president of professional visualization at NVIDIA. "OVX systems with NVIDIA L40S GPUs accelerate AI, graphics and video processing workloads, and meet the demanding performance requirements of an ever-increasing set of complex and diverse applications."

Today, the Lenovo ThinkSystem SR675 V3 was featured on stage at SIGGRAPH as an NVIDIA OVX server that will soon include the newly announced NVIDIA L40S GPUs. These servers will help professionals worldwide advance AI and bring generative AI applications like intelligent chatbots, search, and summarization tools to users across industries.

"Lenovo is the leading provider of omniverse and OVX in the cloud and on prem," said Kirk Skaugen, President of Lenovo Infrastructure Solutions Group. "With the Lenovo ThinkSystem SR675 V3 powered by the new NVIDIA L40S GPU, Lenovo is further extending our omniverse leadership into generative AI, helping businesses implement next generation AI, immersive metaverse simulations, and cognitive decisions at scale."