Supermicro 1U GPU ARS-121L-DNR 2 NVIDIA Grace CPU Superchips (2 nodes) with Onboard 144-core Grace CPU per Superchip

Supermicro 1U GPU ARS-121L-DNR 2 NVIDIA Grace CPU Superchips (2 nodes) with Onboard 144-core Grace CPU per Superchip

Supermicro 1U GPU ARS-121L-DNR 2 NVIDIA Grace CPU Superchips (2 nodes) with Onboard 144-core Grace CPU per Superchip

    

     

Supermicro 1U GPU ARS-121L-DNR 2 NVIDIA Grace CPU Superchips (2 nodes) with Onboard 144-core Grace CPU per Superchip

NVIDIA GH200 Grace Hopper and NVIDIA Grace CPU Superchip. 

Towar dostępny na zamówienie
SKU
ARS-121L-DNR

The NVIDIA GH200 Grace Hopper Superchip combines the NVIDIA Grace™ and Hopper™ architectures using NVIDIA® NVLink®-C2C to deliver a CPU+GPU coherent memory model for accelerated AI and HPC applications.

CPU+GPU designed for giant-scale AI and HPC

Key Applications
High Performance Computing
Hyperscale Cloud Applications
Data Analytics
Key Features
Two nodes in a 1U form factor. Each node supports the following:High density 1U 2-node GPU system with Integrated NVIDIA® H100 GPU (1 per Node)
NVIDIA Grace™ CPU Superchip (144-core per node)
NVLink® Chip-2-Chip (C2C) high-bandwidth, low-latency interconnect between CPU and CPU at 900GB/s
Up to 480GB LPDDR5X onboard memory
2x PCIe 5.0 x16 slots per node supporting NVIDIA BlueField®-3 or ConnectX®-7
Up to 4x Hot-swap E1.S drives and 2x M.2 NVMe drives per node
7 Hot-Swap Heavy Duty Fans with Optimal Fan Speed Contro

New 900 gigabytes per second (GB/s) coherent interface, 7X faster than PCIe Gen5
Supercharges accelerated computing and generative AI with HBM3 and HBM3e GPU memory
Runs all NVIDIA software stacks and platforms, including NVIDIA AI Enterprise, HPC SDK, and Omniverse™


Supermicro’s NVIDIA MGX platforms are designed to deliver a range of servers that will accommodate future AI technologie

 

The new modular architecture is designed to standardise 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.

 

Technical Specifications

Supermicro’s 1U NVIDIA MGX systems have up to 2 NVIDIA GH200 Grace Hopper Superchips featuring 2 NVIDIA H100 GPUs and 2 NVIDIA Grace CPUs. Each comes with 480GB LPDDR5X memory for the CPU and 96GB of HBM3 or 144GB of HBM3e memory for the GPU. The memory-coherent, high-bandwidth, low-latency NVIDIA-C2C interconnects the CPU, GPU, and memory at 900GB/s — 7 times faster than PCIe 5.0. The modular architecture provides multiple PCIe 5.0 x16 FHFL slots to accommodate DPUs for cloud and data management and expandability for additional GPUs, networking, and storage.


With the 1U 2-node design featuring 2 NVIDIA GH200 Grace Hopper Superchips, Supermicro’s proven direct-to-chip liquid cooling solutions can reduce OPEX by more than 40% while increasing computing density and simplifying rack-scale deployment for large language model (LLM) clusters and HPC applications.


The 2U Supermicro NVIDIA MGX platform supports both NVIDIA Grace and x86 CPUs with up to 4 full-size data centre GPUs, such as the NVIDIA H100 PCIe, H100 NVL, or L40S. It also provides three additional PCIe 5.0 x16 slots for I/O connectivity, and eight hot-swap EDSFF storage bays.


Supermicro offers NVIDIA networking to secure and accelerate AI workloads on the MGX platform. This includes a combination of NVIDIA BlueField-3 DPUs, which provide 2x 200Gb/s connectivity for accelerating user-to-cloud and data storage access, and ConnectX-7 adapters, which provide up to 400Gb/s InfiniBand or Ethernet connectivity between GPU servers.


Developers can quickly use these new systems and NVIDIA software offerings for any industry workload. These offerings include NVIDIA AI Enterprise, enterprise-grade software that powers the NVIDIA AI platform and streamlines the development and deployment of production-ready generative AI, computer vision, speech AI, and more. Additionally, the NVIDIA HPC software development kit provides the essential tools needed to fuel the advancement of scientific computing.


Every aspect of Supermicro NVIDIA MGX systems is designed to increase efficiency, ranging from intelligent thermal design to component selection. NVIDIA Grace Superchip CPUs feature 144 cores and deliver up to 2x the performance per watt compared to today’s industry-standard x86 CPUs. Specific Supermicro NVIDIA MGX systems can be configured with two nodes in 1U, totalling 288 cores on two Grace CPU Superchips to provide ground-breaking compute densities and energy efficiency in hyperscale and edge data centre .

power, and mechanical challenges.

 


Supermicro’s new NVIDIA MGX line of servers includes:


ARS-111GL-NHR – 1 NVIDIA GH200 Grace Hopper Superchip, Air-Cooled

ARS-111GL-NHR-LCC – 1 NVIDIA GH200 Grace Hopper Superchip, Liquid-Cooled

ARS-111GL-DHNR-LCC – 2 NVIDIA GH200 Grace Hopper Superchips, 2 Nodes, Liquid-Cooled

ARS-121L-DNR – 2 NVIDIA Grace CPU Superchips in each of 2 Nodes, 288 Cores in total

ARS-221GL-NR – 1 NVIDIA Grace CPU Superchip in 2U

SYS-221GE-NR – Dual-socket 4th Gen Intel Xeon Scalable processors with up to 4 NVIDIA H100 Tensor Core or 4 NVIDIA PCIe GPUs

Every MGX platform can be enhanced with NVIDIA BlueField®-3 DPU and/or NVIDIA ConnectX®-7 interconnects for high-performance InfiniBand or Ethernet networking.

Więcej informacji
Rozmiar obudowy 1U Rack
ilość nodów 2
Procesor CPU NVIDIA GH200 Grace Hopper™ Superchip
Producent Procesora NVIDIA
podstawka procesora System On Chip
Chipset SoC
ILOŚĆ PROCESORÓW 2xCPU
Typ pamięci n/a
Standard pamięci DDR5-5600 MHz
ilość GPU/HPC 2
interfejs SSD/HDD PCIe 5.0
moc zasilaczy 2700W
ceryfikaty zasilaczy 80 plus Titanium
redundancja zasilaczy tak
Application GPU server, AI, AI Training, AI Inference and Machine Learning, AI / Deep Learning, HPC
Gwarancja 2 lata, 3 lata
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