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29
Jan 2024

(CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

Supermicro_AI_banner-300x84 (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training


What is GPU System?

A GPU, or Graphics Processing Unit, is an electronic circuit designed to quickly manipulate memory and speed up image processing for display devices. With its large capacity, it can handle highly parallel computations.

Unlike CPUs, which process instructions sequentially, GPUs excel at performing multiple tasks simultaneously. This makes them essential for graphics rendering, scientific simulations, machine learning, and data analysis. By leveraging their parallel processing power, GPUs enable faster and more efficient processing of large-scale computations in various fields.

 

Why should we choose Supermicro’s H100/H200 GPUs?

Supermicro’s collaboration with NVIDIA offers a widze range of certified systems, including the latest H100 and H200 GPUs, delivering exceptional AI training performance, reducing training time from a week to 20 hours.

This GPU system is ideally suited for advanced enterprise AI and HPC, offering a flexible design that handles graphically intensive workloads effortlessly. Its modular architecture allows for ultimate flexibility, enabling organizations to easily customize and adapt the system to their specific needs.

Featured H100/H200 Products:

SYS-821GE-TNHR_main-1 (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

8U Universal GPU System: SYS-821GE-TNHR

Suited for Today’s Largest-Scale AI Training Models and HPC, Featuring Superior Thermal Capacity with Reduced Accoustics, More I/O, and Vast Storage

  • NVIDIA HGX H100 & zzHGX H200 8-GPU
  • Dual Processors, Intel or AMD
  • GPU with 80 billion transistors

4U Universal GPU System: SYS-421GU-TNXR

Optimized for HPC and Advanced Enterprise AI Workloads and Use Cases. Modular by Design for Ultimate Flexibility

  • NVIDIA HGX H100 4-GPU or 8-GPU
  • Dual Processors
  • Modular by Design for Ultimate Flexibility
 SYS-421GU-TNXR-1 (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

 

tower-4U-4GPU (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

4U 4GPU System: SYS-741GE-TNRT

Optimized for 3D Metaverse Collaboration, Data Scientists, and Content Creators. Available in both Rackmount and Workstation Form Factors

  • Up to 4 double-width PCIe GPUs
  • Dual Processors, Intel or AMD
  • Ideal for creating photorealistic models

 

4U/ 5U 10GPU PCIe Gen 5: SYS-421GE-TNRT

Flexible Design for AI and Graphically-Intensive Workloads, Supporting Up to 10 NVIDIA GPUs.

  • Supporting Up to 10 NVIDIA GPUs
  • Dual Processors, Intel or AMD
  • Ideal for generative AI platform
  SYS-421GE-TNRT_main-1-300x225 (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training


Key Features of H100/H200 Systems : 


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Cutting the Week Training Time down to just 20hrs.


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9 times the prior generation’s training performance for some of the hardest AI models.

 


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High Scalability enables enterprise to expand their AI capabilities effortlessly.

 

High-Performance GPUs Alternatives – A100 Servers

Supermicro specializes in building high-performance servers that utilize NVIDIA Ampere GPUs, which are widely adopted by leading enterprises for tasks involving large scale computer vision and natural language processing models.

The A100 GPU server system incorporate the new NVIDIA® NVLink™ and NVIDIA NVSwitch™ technologies, enabling them to deliver exceptional AI performance of up to 5 PetaFLOPS within a single 4U system.

 

Featured A100 Series Products:

AS-2124GQ-NART (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training  SYS-420GP-TNAR_main (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training  AS-2114GT-DNR (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

AS -2124GQ-NART

2U NVIDIA HGX A100 4-GPU

SYS-420GP-TNAR

4U NVIDIA HGX A100 8-GPU

AS -2114GT-DNR

2U 2-Node GPU Server

  • 4 x A100 40G/80G SXM4 GPUs
  • NVIDIA NVLink
  • Dual 3rd Gen AMD EPYC™ Processors
  • 32 DIMM slots
  • 2x 2200W Redundant Platinum Level PSU
  • 8x A100 40G/80GB SXM4 GPUs
  • NVIDIA N VLink and NVSwitch
  • Dual 3rd Gen Intel® Xeon® Scalable Processors
  • 32 DIMM Slots
  • 4x 2200W Redundant Platinum Level PSU
  • Up to 3 NVIDIA Ampere GPUs per Node
  • PCIe Gen
  • 4 Single 3rd Gen AMD EPYC™ Processor per Node
  • 8 DIMM Slots per Node
  • 2x 2600W Redundant Titanium Level PSU
SYS-420GP-TNAR_main (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training  SYS-420GP-TNR_main (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training  AS-4124GS-TNR (CWC:) Next Leap of AI Infrastructure is Here – Introducing Supermicro’s GPU System for AI Training

AS -4124GO-NART

4U NVIDIA HGX A100 8-GPU

SYS-420GP-TNR

4U 10 GPU (PCIe) Up to 10

AS -4124GS-TNR

4U 8 GPU (PCIe)

  • 8x A100 40G/80GB SXM4 GPUs NVIDIA NVLink and NVSwitch
  • Dual 3rd Gen AMD EPYC™ Processors
  • 32 DIMM Slots
  • 4x 2200W Redundant Platinum Level PSU
  • NVIDIA Ampere GPUs
  • PCIe Gen 4
  • Dual 3rd Gen Intel® Xeon® Scalable Processors
  • 32 DIMM slots
  • 4x 2000W Redundant Titanium Level PSU
  • Up to 8 NVIDIA Ampere GPUs
  • PCIe Gen 4
  • Dual 3rd Gen AMD EPYC™ Processors
  • 32 DIMM slots
  • 4x 2000W Redundant Titanium Level PSU


Application

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Cloud Gaming

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3D Modeling

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Conversational AI

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Research


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Design & visualization



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HPC

For any inquiry, please contact us at +852 37912112 or mail to marketing@cyberworld.hk




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