GPU Server : Fastest machine
for AI for HPC for 3D rendering
Buy your GPU servers to unlock unparalleled GPU performance, ensuring swift AI model training and expedited data processing.
Maximum GPU
Maximum cores
Maximum GB of Ram
Maximum TB of NVMe SSD
Technical Specs
HGX H100
AMD/INTEL-
- 8x NVIDIA H100 SXM5 GPUs NVSwitch
- 2x AMD EPYC 9654 96-core OR 2x Intel XEON 8480 65-core
- 1.5/2TB of DDR5 system memory
- 8x CX-7 400Gb NICs for GPUDirect RDMA
HGX A100
AMD/INTEL
- 8x NVIDIA A100 SXM4 GPUs NVSwitch
- 2x AMD EPYC 7764 64-core OR 2x INTEL XEON 8380 40-core
- 1TB of DDR4 system memory
- 8x CX-7 200Gb NICs for GPUDirect RDMA
GPU Server
AMD/INTEL
- 8x NVIDIA GPU (H100, A100, L40S, L40, 6000 ADA, 5000 ADA)
- 2x AMD EPYC 9534 64-core OR INTEL XEON 6430 32-core
- 256GB of DDR5 system memory
- 2x 3.84TB Disk NVMe
Frequently Asked Questions
What is a GPU server, and how does it differ from a standard server ?
A GPU server is a specialized server equipped with one or multiple Graphics Processing Units (GPUs) designed to handle parallel processing tasks more efficiently than traditional CPU-centric servers.
The primary difference is that GPU servers leverage the massively parallel architecture of GPUs, excelling in computationally intensive workloads such as machine learning, AI, scientific simulations, and high-performance computing (HPC).
What are the advantages of using a GPU server for computational tasks ?
GPU servers offer substantial advantages for computational tasks due to their parallel processing capabilities.
They excel in handling complex and repetitive calculations, making them ideal for tasks involving deep learning, artificial intelligence, data analysis, and simulations.
Their architecture significantly accelerates processing speeds, reducing the time required for complex computations compared to traditional CPU-based servers.
What kind of tasks or applications benefit most from GPU servers ?
GPU servers are particularly beneficial for tasks that involve heavy parallel processing, such as machine learning, artificial intelligence, data analytics, scientific simulations, image and video processing, rendering, and cryptographic computations.
Applications that require intense mathematical calculations and benefit from parallelism typically see significant performance gains when run on GPU servers.
Do you offer customization options for GPU server configurations ?
Yes, we offer customizable GPU server configurations to suit specific computing needs.
Customers can tailor the model of GPUs, the number of memory, storage, and other specifications to match the requirements of their intended applications.
Our goal is to provide flexible solutions that align with various computational workloads.
Are these GPU servers suitable for machine learning and AI applications ?
Absolutely, our GPU servers are highly suitable for machine learning and AI applications.
Their parallel processing architecture significantly accelerates training and inference for neural networks, enabling faster model development, optimization, and deployment.
These servers are well-suited for deep learning frameworks and algorithms, making them a strong choice for AI-related tasks.