Grace Hopper Servers

The NVIDIA GH200 Grace Hopper™ Superchip is a revolutionary high-speed CPU built specifically for massive AI and high-performance computing (HPC) tasks. This superchip boosts performance by up to 10 times for applications running terabytes of data, enabling scientists and researchers to find groundbreaking solutions to the toughest global challenges.

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.
  • Up to 2 NVIDIA GH200 Grace Hopper Superchips
  • 480GB LPDDR5X memory
  • 96GB of HBM3 or 144GB of HBM3e GPU Memory
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Quickspecs.
Supermicro GPU 111GL-NHR | GPU ARS-111GL-NHR

Single NVIDIA 72-core CPUs on a Grace™ CPU Superchip Series processor, Up to 480GB LPDDR5X onboard memory, 2000W Redundant PSU, Up to 8x Hot-swap E1.S drives & 2x M.2 NVMe drives.

Form Factor:
1U
Drive Bays:
Hot-Swap Drives
HDD Size:
E1.S
Qty Drives:
8
Drive Interface:
NVMe, M.2
Server Processor:
Grace Hopper
Features:
High RAM Capacity, Full Height/Length Expansion, Redundant Power Supply - Standard
Max RAM Capacity:
GB
Configure From: £40,006
Configure
Quickspecs.
Supermicro GPU 111GL-NHR-LCC | GPU ARS-111GL-NHR-LCC Liquid Cooled

Liquid Cooled, Single NVIDIA 72-core CPUs on a Grace™ CPU Superchip Series processor, Up to 480GB LPDDR5X onboard memory, 2000W Redundant PSU, Up to 8x Hot-swap E1.S drives & 2x M.2 NVMe drives.

Form Factor:
1U
Drive Bays:
Hot-Swap Drives
HDD Size:
E1.S
Qty Drives:
8
Drive Interface:
NVMe, M.2
Server Processor:
Grace Hopper
Features:
High RAM Capacity, Full Height/Length Expansion, Redundant Power Supply - Standard
Max RAM Capacity:
GB
Configure From: £42,983
Configure
Quickspecs.
Supermicro GPU 221GL-NR | ARS-221GL-NR

Dual NVIDIA 72-core CPUs on a Grace™ CPU Superchip Series processors, Up to 480GB LPDDR5X onboard memory, 2000W Redundant PSU, 8x front hot-swap E1.S NVMe drive bays.

Form Factor:
2U
Drive Bays:
Hot-Swap Drives
HDD Size:
E1.S
Qty Drives:
8
Drive Interface:
NVMe, M.2
Server Processor:
Grace Hopper
Features:
High RAM Capacity, Full Height/Length Expansion, Redundant Power Supply - Standard
Max RAM Capacity:
GB
Configure From: £73,946
Configure
Quickspecs.
Supermicro GPU 121L-DNR | ARS-121L-DNR

Dual Node, Single NVIDIA 72-core CPUs on a Grace™ CPU Superchip Series processor, Up to 480GB LPDDR5X onboard memory, 2700W Redundant PSU, Up to 4x Hot-swap E1.S drives & 2x M.2 NVMe drives per node.

Form Factor:
1U
Drive Bays:
Hot-Swap Drives
HDD Size:
E1.S
Qty Drives:
8
Drive Interface:
NVMe, M.2
Server Processor:
Grace Hopper
Features:
High RAM Capacity, Full Height/Length Expansion, Redundant Power Supply - Standard
Max RAM Capacity:
GB
Configure From: £77,784
Configure
Quickspecs.
Supermicro GPU 111GL-DNHR-LCC | GPU ARS-111GL-DNHR-LCC Liquid Cooled

Dual node, Liquid Cooled, Single NVIDIA 72-core CPUs on a Grace™ CPU Superchip Series processor, Up to 480GB LPDDR5X onboard memory, 2700W Redundant PSU, Up to 4x Hot-swap E1.S drives & 2x M.2 NVMe drives per node.

Form Factor:
1U
Drive Bays:
Hot-Swap Drives
HDD Size:
E1.S
Qty Drives:
8
Drive Interface:
NVMe, M.2
Server Processor:
Grace Hopper
Features:
High RAM Capacity, Full Height/Length Expansion, Redundant Power Supply - Standard
Max RAM Capacity:
GB
Configure From: £83,231
Configure

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NVIDIA Grace Hopper GH200

The NVIDIA Grace Hopper™ architecture combines the innovative power of the NVIDIA Hopper™ GPU and the flexibility of the NVIDIA Grace™ CPU into one advanced superchip. This integration is facilitated by the NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect, ensuring high-bandwidth and memory coherence between the two components. This unified architecture maximises performance and efficiency, enabling seamless collaboration between GPU and CPU for a wide range of computing tasks.

NVIDIA Grace Hopper GH100
The World’s Most Versatile Computing Platform

The NVIDIA Grace Hopper™ architecture combines the innovative power of the NVIDIA Hopper™ GPU and the flexibility of the NVIDIA Grace™ CPU into one advanced superchip. This integration is facilitated by the NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect, ensuring high-bandwidth and memory coherence between the two components. This unified architecture maximises performance and efficiency, enabling seamless collaboration between GPU and CPU for a wide range of computing tasks.

NVIDIA NVLink-C2C is a memory-coherent, high-bandwidth, and low-latency interconnect for superchips. At the core of the GH200 Grace Hopper Superchip, it provides up to 900 gigabytes per second (GB/s) of bandwidth, which is 7 times faster than PCIe Gen5 lanes commonly used in accelerated systems. NVLink-C2C allows applications to use both GPU and CPU memory efficiently. With up to 480GB of LPDDR5X CPU memory per GH200 Grace Hopper Superchip, the GPU has direct access to 7X more fast memory than HMB3 or almost 8X more fast memory with HBM3e. GH200 can be used in standard servers to run a variety of inference, data analytics, and other compute and memory-intensive workloads. GH200 can also be combined with the NVIDIA NVLink Switch System, with all GPU threads running on up to 256 NVLink-connected GPUs and able to access up to 144 terabytes (TB) of memory at high bandwidth.

Power and Efficiency With the Grace CPU

The NVIDIA Grace CPU offers twice the performance per watt compared to traditional x86-64 platforms and stands as the fastest Arm® data center CPU worldwide. It's designed for high single-threaded performance, high- memory bandwidth, outstanding data-movement capabilities. The NVIDIA Grace CPU combines 72 Neoverse V2 Armv9 cores and up to 480GB of server-grade LPDDR5X memory with ECC, it achieves an optimal balance between bandwidth, energy efficiency, capacity, and cost. Compared to an eight-channel DDR5 design, the Grace CPU's LPDDR5X memory system delivers 53 percent more bandwidth while using only one-eighth the power per gigabyte per second.

Performance and Speed With the Hopper H100 GPU

The H100 Tensor Core GPU is NVIDIA’s latest data center GPU, offering a significant performance boost for large-scale AI and HPC compared to the previous A100 Tensor Core GPU. Built on the new Hopper GPU architecture, the NVIDIA H100 introduces several innovations:

  • New fourth-generation Tensor Cores perform faster matrix computations than ever before, handling a wider range of AI and HPC tasks.
  • A new Transformer Engine enables H100 to deliver AI training speeds up to 9 times faster and AI inference speeds up to 30 times faster than the previous GPU generation.
  • Secure Multi-Instance GPU (MIG) patitions the GPU into separate, appropriately sized sections to enhance quality of service (QoS) for smaller workloads.
Class-Leading Performance for HPC and AI Workloads

The GH200 Grace Hopper Superchip marks the first genuine mixed accelerated platform tailored for HPC tasks. It boosts any application by leveraging the strengths of both GPUs and CPUs, all while offering the simplest and most efficient mixed programming approach yet. This allows scientists and engineers to concentrate on tackling the world's most pressing issues. For AI inference workloads, GH200 Grace Hopper Superchips combines with NVIDIA networking technologies to offer the most cost-effective scaling solutions, empowering users to handle larger datasets, more intricate models, and new tasks with access to up to 624GB of high-speed memory. For AI training, up to 256 NVLink-connected GPUs can access up to 144TB of memory at high bandwidth for large language model (LLM) or recommender system training.

Grace Hopper Comparison

1U with Grace Hopper
1U with Grace Hopper LC
1U 2-Node with Grace Hopper
1U 2-Node with Grace CPU
2U with Grace CPU
2U with X86 DP
ARS-111GL-NHR Grace Hopper ARS-111GL-NHR-LCC Grace Hopper Liquid Cooling ARS-111GL-DNHR-LCC Grace Hopper Liquid Cooling ARS-121L-DNR Grace Hopper ARS-221GL-NR Grace Hopper SYS-221GE-NR
Model ARS-111GL-NHR ARS-111GL-NHR-LCC ARS-111GL-DNHR-LCC ARS-121L-DNR ARS-221GL-NR SYS-221GE-NR
CPU 72-core Grace Arm Neoverse V2 CPU + H100 Tensor Core GPU in a single chip 72-core Grace Arm Neoverse V2 CPU + H100 Tensor Core GPU in a single chip 72-core Grace Arm Neoverse V2 CPU + H100 Tensor Core GPU in a single chip per node 144-core Grace Arm Neoverse V2 CPU + H100 Tensor Core GPU in a single chip per node (total of 288 cores in one system 144-core Grace Arm Neoverse V2 CPU + H100 Tensor Core GPU in a single chip 4th or 5th Generation Intel Xeon Scalable Processors
Cooling Air-cooled Liquid-cooled Liquid-cooled Air-cooled Air-cooled Air-cooled
GPU Support NVIDIA H100 Tensor Core GPU with 96GB of HBM3 NVIDIA H100 Tensor Core GPU with 96GB of HBM3 NVIDIA H100 Tensor Core GPU with 96GB of HBM3 per node Please contact for possible configurations Up to 4 double-width GPUs including NVIDIA H100 PCIe, H100 NVL, L40S Up to 4 double-width GPUs including NVIDIA H100 PCIe, H100 NVL, L40S
Memory CPU: 480G integrated LPDDR5X with ECC GPU: 96GB HBM3 CPU: 480G integrated LPDDR5X with ECC GPU: 96GB HBM3 CPU: 480G integrated LPDDR5X with ECC per node GPU: 96GB HBM3 per node Up to 480GB of integrated LPDDR5X with ECC and up to 1TB/s of memory bandwidth per node Up to 480GB of integrated LPDDR5X with ECC and up to 1TB/s of memory bandwidth per node Up to 2TB, 32x DIMM Slots, ECC DDR5-4800 DIMM
Networking 3x PCIe 5.0 x16 slots supporting NVIDIA Bluefield-3 or ConnectX-7 3x PCIe 5.0 x16 slots supporting NVIDIA Bluefield-3 or ConnectX-7 2x PCIe 5.0 x16 slots per node supporting NVIDIA Bluefield-3 or ConnectX-7 3x PCIe 5.0 x16 slots per node supporting NVIDIA Bluefield-3 or ConnectX-7 3x PCIe 5.0 x16 slots supporting NVIDIA Bluefield-3 or ConnectX-7 3x PCIe 5.0 x16 slots supporting NVIDIA Bluefield-3 or ConnectX-7
Storage 8x Hot-swap E1.S drives & 2x M.2 NVMe drives 8x Hot-swap E1.S drives & 2x M.2 NVMe drives 4x Hot-swap E1.S drives & 2x M.2 NVMe drives per node 4x Hot-swap E1.S drives & 2x M.2 NVMe drives per node 8x Hot-swap E1.S drives & 2x M.2 NVMe drives 8x Hot-swap E1.S drives & 2x M.2 NVMe drives
Power Supplies 2x 2000W Titanium Level 2x 2000W Titanium Level 2x 2700W Titanium Level 2x 2700W Titanium Level 3x 2000W Titanium Level 3x 2000W Titanium Level
Configure Now Configure Now Configure Now Configure Now Configure Now Configure Now
NVIDIA Grace Hopper memory coherency

Low-Power High-Bandwidth Memory Subsystem LPDDR5X Data Center Enhanced Memory

  • Optimal balance between bandwidth, energy efficiency and capacity
  • Up to 1TB/s of raw bidirectional BW
  • 1/8th power per GB/s vs conventional DDR memory
  • Similar cost / bit to conventional DDR memory
  • Data Center class memory with error code correction (ECC)

GH200 Grace Hopper AI Inference Platform

Versatile Scale Out with Unmatched Performance

NVIDIA Grace Hopper memory coherency

Grace CPU Specifications

Grace CPU
Feature
CPU core count 72 Arm Neoverse V2 cores
L1 Cache 64KB i-cache + 64KB d-cache
L2 Cache 1MB per core
L3 Cache 114MB
Base Frequency | all-core single instruction, multiple data (SIMD) frequency 3.1Ghz | 3.0Ghz
LPDDR5X size Up to 480GB
Memory bandwidth Up to 512GB/s
PCIe links Up to 4x PCIe x16 (Gen 5)

Hopper H100 Specifications

Hopper H100 GPU
Feature
FP64 34 teraFLOPS
FP64 Tensor Core 67 teraFLOPS
FP32 67 teraFLOPS
TF32 Tensor Core 989 teraFLOPS | 494 teraFLOPS
BFLOAT16 Tensor Core 1,979 teraFLOPS | 990 teraFLOPS
FP16 Tensor Core 1,979 teraFLOPS | 990 teraFLOPS
FP8 Tensor Core 3,958 teraFLOPS | 1,979 teraFLOPS
INT8 Tensor Core 3,958 TOPS | 1,979 TOPS
High-bandwidth memory (HBM) size Up to 96GB | 144GB HBM3e
Memory bandwidth Up to 4TB/s | Up to 4.9TB/s HBM3e
NVIDIA NVLink-C2C CPU-to-GPU bandwidth 900GB/s bidirectional
Module thermal design power (TDP) Programmable from 450W to 1000W (CPU + GPU + memory
Form Factor Superchip module
Thermal solution Air cooled or liquid cooled

Generative AI Supercluster

Industry leading Scalable Compute Unit Designed For Large Language Models

Foundations for Large-Scale AI Inference in the Cloud

In the AI era, a unit of computing power isn't just about the number of servers anymore. Today's artificial intelligence relies on interconnected GPUs, CPUs, memory, and storage across multiple nodes in racks. This infrastructure demands high-speed, low-latency network connections, along with efficient cooling and power delivery to maintain peak performance and effectiveness in various data center settings. Supermicro's SuperCluster solution offers essential components for rapidly advancing Generative AI and Large Language Models (LLMs). This all-inclusive data center solution speeds up delivery time for critical business needs and removes the complexity of building large clusters, which used to require extensive design and optimisation work.

Plug-and-Play Cluster

Supermicro's SuperCluster design for NVIDIA MGX Systems, featuring NVIDIA GH200, incorporates 400Gb/s networking fabrics with a non-blocking architecture. This setup enables each rack with 32 nodes (32 GPUs) and a 256-node cluster to function as a unified compute unit, offering a cohesive pool of high-bandwidth memory crucial for Large Language Model (LLM) high batch sizes and extensive inference tasks. Whether constructing a cloud-scale inference infrastructure for LLMs or optimising large models for training, the spine and leaf network topology allows to scale from 256 nodes to thousands of nodes. Supermicro's rigorous testing procedures thoroughly validate the cluster's operational effectiveness before shipment, ensuring customers receive plug-and-play units at the rack or multi-rack cluster level for rapid deployment.

High Density Rack

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