ASRock Rack,
“Enterprises are seeking more accelerated computing options when architecting data centers that meet their specific business and application needs,” said
With MGX, manufacturers start with a basic system architecture optimized for accelerated computing for their server chassis, and then select their GPU, DPU and CPU. Design variations can address unique workloads, such as HPC, data science, large language models, edge computing, graphics and video, enterprise AI, and design and simulation. Multiple tasks like AI training and 5G can be handled on a single machine, while upgrades to future hardware generations can be frictionless. MGX can also be easily integrated into cloud and enterprise data centers.
Collaboration With Industry Leaders
QCT and Supermicro will be the first to market, with MGX designs appearing in August. Supermicro’s ARS-221GL-NR system, announced today, will include the NVIDIA Grace™ CPU Superchip, while QCT’s S74G-2U system, also announced today, will use the NVIDIA GH200 Grace Hopper Superchip.
Additionally, SoftBank Corp. plans to roll out multiple hyperscale data centers across
“As generative AI permeates across business and consumer lifestyles, building the right infrastructure for the right cost is one of network operators’ greatest challenges,” said
Different Designs for Different Needs
Data centers increasingly need to meet requirements for both growing compute capabilities and decreasing carbon emissions to combat climate change, while also keeping costs down.
Accelerated computing servers from NVIDIA have long provided exceptional computing performance and energy efficiency. Now, the modular design of MGX gives system manufacturers the ability to more effectively meet each customer’s unique budget, power delivery, thermal design and mechanical requirements.
Multiple Form Factors Offer Maximum Flexibility
MGX works with different form factors and is compatible with current and future generations of NVIDIA hardware, including:
- Chassis: 1U, 2U, 4U (air or liquid cooled)
- GPUs: Full NVIDIA GPU portfolio including the latest H100, L40, L4
- CPUs: NVIDIA Grace CPU Superchip, GH200 Grace Hopper Superchip, x86 CPUs
- Networking: NVIDIA BlueField®-3 DPU, ConnectX®-7 network adapters
MGX differs from NVIDIA HGX™ in that it offers flexible, multi-generational compatibility with NVIDIA products to ensure that system builders can reuse existing designs and easily adopt next-generation products without expensive redesigns. In contrast, HGX is based on an NVLink®-connected, multi-GPU baseboard tailored to scale to create the ultimate in AI and HPC systems.
Software to Drive Acceleration Further
In addition to hardware, MGX is supported by NVIDIA’s full software stack, which enables developers and enterprises to build and accelerate AI, HPC and other applications. This includes NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, which features over 100 frameworks, pretrained models and development tools to accelerate AI and data science for fully supported enterprise AI development and deployment.
MGX is compatible with the
Watch NVIDIA founder and CEO
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the industrial metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
For further information, contact:
+1-408-313-0448
kuchiyama@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features and availability of our products, collaborations, services and technologies, including the NVIDIA MGX server specification, Omniverse, NVIDIA GPUs including H100, L40 and L4, NVIDIA DPUs including BlueField-3, NVIDIA CPUs including x86 CPUs, NVIDIA HPCs, large language models, and edge computing, Grace CPU Superchip, GH200 Grace Hopper Superchip, chassis, ConnectX-7 network adapters, NVIDIA HGX, NVLink, NVIDIA AI Enterprise, and the NVIDIA AI platform; our collaborations with QCT, Supermicro, ASRock Rack,
© 2023
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/48c1d244-8c60-4d84-86f9-8e77172491cc
NVIDIA MGX
NVIDIA MGX provides system makers a modular reference architecture to quickly and cost-effectively build 100+ server variations.
2023 GlobeNewswire, Inc., source