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Home / Supermicro A100 Servers

 

Supermicro A100 Servers

For the most demanding AI workloads, Supermicro builds the highest-performance, fastest-to-market servers based on NVIDIA A100™ Tensor Core GPUs. Supermicro supports a range of customer needs with optimized systems for the new HGX™ A100 8-GPU and HGX™ A100 4-GPU platforms. With the newest version of NVIDIA® NVLink™ and NVIDIA NVSwitch™ technologies, these servers can deliver up to 5 PetaFLOPS of AI performance in a single 4U system. Supermicro can also support the new NVIDIA A100 PCI-E GPUs in a range of systems, with up to 8 GPUs in a 4U server.

Supermicro's advanced server Building Block Solutions®, available from our Supermicro Store,  offer a vast array of modular, interoperable components for building energy-efficient, application-optimised, computing solutions. This broad line of products includes servers, blades, GPU systems, workstations and storage technologies, all of which deliver unrivaled performance and value.

 

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AS-2124GQ-NART

 

 

The 2U NVIDIA HGX A100 4-GPU server is ideal for AI Compute, Model Training, Deep Learning, and High-performance Computing (HPC).

 Supports 4x A100 40GB SXM4 GPUs
 Direct connect PCI-E Gen4 Platform with NVIDIA NVLink™
 Dual AMD EPYC™ 7002 Series Processors
 4 Hot Swap 2.5" drive bays
 32 DIMM slots

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SYS-420GP-TNAR

 

For the most demanding AI workloads, Supermicro has built high performing, fast-to-market servers which are based on NVIDIA A100™ Tensor Core GPUs.

 8X A100 SXM4 GPUS
 NVIDIA NVLink™ AND NVSwitch
 2 Processors
 32 DIMM Slots
 4x 2200W Redundant Titanium Level PSU

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AS-412GS-TNR

 

The 4U 8 GPU (PCI-E) is ideal for AI and Deep Learning Applications.
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 Up to 8 NVIDIA A100 PCI-E GPUs
 PCI-E Gen 4
 Dual AMD EPYC™ 7002 Series Processors
 32 DIMM Slots
 4x 2200W Redundant Titanium Level PSU

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TRY BEFORE YOU BUY AT BOSTON LABS

 

To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available

 

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