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GPU Compute Servers - Powered by NVIDIA

Unleash data scientists and researchers with massive compute capability in applications ranging from energy exploration to deep learning.

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EDU Discounts Available

Purchase a qualifying NVIDIA GPU-powered workstation or server from Exxact and gain exclusive EDU discounts.

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Wide NVIDIA Platform Selection

Exxact offers a wide selection of workstation and server platforms to meet the individual compute needs of each customer's unique use case.

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Standard 3 Year Warranty

Have peace of mind, focus on what matters most, knowing your system is backed by a 3 year warranty and support.

NVIDIA A100 SXM4 Based Servers

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Base Specs
CPU2x AMD EPYC 7003 CPUs
GPU4x NVIDIA Tesla A100 SXM4-40GB or 80GB + NVLink
NETUp to 4x Mellanox InfiniBand HDR 200Gbps Cards
MEMUp to 8TB DDR4 Memory
STOUp to 60TB NVMe Storage
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Base Specs
CPU2x AMD EPYC 7003 CPUs
GPU8x NVIDIA Tesla A100 SXM4-40GB or 80GB + NVSwitch
NETUp to 9x Mellanox InfiniBand HDR 200Gbps Cards
MEMUp to 4TB DDR4 Memory
STOUp to 60TB NVMe Storage
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Base Specs
CPU2x Intel Xeon Scalable Family
GPU8x NVIDIA Tesla A100 SXM4-40GB or 80GB + NVSwitch
NETUp to 9x Mellanox InfiniBand HDR 200Gbps Cards
MEMUp to 4TB DDR4 Memory
STOUp to 96TB NVMe Storage

NVIDIA A100 PCIe Based Servers

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Base Specs
CPU2x AMD EPYC 7003 CPUs
GPUUp to 4x NVIDIA A100, A40, or A30 GPUs
MEMUp to 1TB DDR4 Memory
STOUp to 60TB NVMe Storage
Solution image
Base Specs
CPU2x AMD EPYC 7003 CPUs
GPUUp to 8x NVIDIA A100, A40, or A30 GPUs
MEMUp to 4TB DDR4 Memory
STOUp to 96TB NVMe Storage
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Base Specs
CPU2x Intel Xeon CPUs
GPUUp to 10x NVIDIA A100, A40, or A30 GPUs
MEMUp to 8TB DDR4 Memory
STOUp to 96TB NVMe Storage

High-Performance Computing with NVIDIA A100

To unlock next-generation discoveries, scientists look to simulations to better understand complex molecules for drug discovery, physics for potential new sources of energy, and atmospheric data to better predict and prepare for extreme weather patterns.

A100 introduces double-precision Tensor Cores, providing the biggest milestone since the introduction of double-precision computing in GPUs for HPC. This enables researchers to reduce a 10-hour, double-precision simulation running on NVIDIA V100 Tensor Core GPUs to just four hours on A100. HPC applications can also leverage TF32 precision in A100’s Tensor Cores to achieve up to 10x higher throughput for single-precision dense matrix multiply operations.
a100 graph top hpc
a100 graph bert large
BERT pre-training throughput using Pytorch, including (2/3) Phase 1 and (1/3) Phase 2 | Phase 1 Seq Len = 128, Phase 2 Seq Len = 512; V100: NVIDIA DGX-1™ server with 8x V100 using FP32 precision; A100: DGX A100 Server with 8x A100 using TF32 precision.
a100 graph bert large inference
BERT Large Inference | NVIDIA T4 Tensor Core GPU: NVIDIA TensorRT (TRT) 7.1, precision = INT8, batch size = 256 | V100: TRT 7.1, precision = FP16, batch size = 256 | A100 with 7 MIG instances of 1g.5gb: pre-production TRT, batch size = 94, precision = INT8 with sparsity.
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