GPU Dedicated Servers

Dedicated GPU servers with RTX 3090, NVIDIA A100 80GB, and RTX A6000 available.

Harness the computing power of GEFORCE RTX3090, A100 80GB, RTX 3080, RTX2080Ti, GTX1080Ti, RTX A4000, RTX A5000, RTX A6000, Quadro, Tesla A100, and Tesla T4 GPU dedicated servers. GPU dedicated servers are ideal for Deep Learning, HPC, artificial intelligence, live streaming, and cryptocurrency mining.

 The world’s most powerful GPU A100 NVIDIA 80GB for AI and HPC workloads is now available for SeiMaxim customers.

gpu card 3090

Mission-critical Supermicro GPU servers designed for seamless integration with NVIDIA A100, RTX A6000, RTX 3090, Quadro, and Tesla GPU.

Purchase GPU Dedicated Servers

Customize and Deploy

Quality and performance-optimized 1x to 8x GPU servers for the most compute-intensive applications

Data center and Professional GPUs

NVIDIA A100 with 80GB Memory: AI and HPC GPU

nvidia a100 80GB gpu

Fast Memory bandwidth

NVIDIA A100 Ampere GPU 80GB premiere the world’s fastest memory bandwidth at over 2 terabytes per second to run the largest simulation models and datasets. It allows researchers to quickly deliver accurate results and deploy solutions into production at scale.

Tensor Cores

NVIDIA A100 Tensor Cores with Tensor Float (TF32) provides up to 20x higher performance over the NVIDIA Volta with zero code changes and an additional 2x boost with automatic mixed precision and FP16.

Deep Learning Training

For the largest models with enormous data tables like deep learning recommendation models (DLRM), Ampere A100 GPU 80GB reaches 1.3 TB of unified memory per node and delivers up to a 3x throughput increase over A100 40GB GPU. In MLPerf, it has set multiple performance records in the industry-wide benchmark for AI training.

Deep Learning Inference

A100 introduces novel features to optimize inference compute jobs. It accelerates a full range of precision, from FP32 to INT4. Multi-Instance GPU technology allows multiple networks to function concurrently on a single A100 for optimal utilization of computing resources. Additionally, structural sparsity support delivers up to double performance on top of A100’s other inference performance gains.

On state-of-the-art conversational Artificial Intelligence models like BERT, A100 increases inference throughput up to 249x over CPUs. On the most complex models that are batch-size constrained, like RNN-T for automatic speech recognition, increased memory of A100 80GB doubles the size of each Multi-Instance GPU. It delivers up to 1.25x higher performance over A100 40GB.

High-Performance Computing

To find answers to complex problems, scientists perform computer simulations. NVIDIA A100 80GB introduces double-precision Tensor Cores to deliver the largest leap in HPC performance since the introduction of GPUs. Combined with 80GB of the fastest GPU memory, researchers can reduce a 10-hour, double-precision simulation to under four hours on A100 80G GPU. HPC applications can also use TF32 to achieve up to 11x higher throughput for single-precision, dense matrix-multiply operations.

For the HPC applications with enormous datasets, A100 80GB’s additional memory delivers up to a 2x throughput increase with Quantum Espresso, a materials simulation. This massive memory and unprecedented memory bandwidth make the A100 80GB the ideal platform for next-generation research projects.

High-performance Data Analytics

Data scientists need to be able to analyze, visualize, and turn massive datasets into insights. But scale-out solutions are often slowed down by datasets distributed across multiple servers.

Accelerated servers with A100 80GB provide the needed compute power—along with massive memory, over 2 TB/sec of memory bandwidth, and scalability, to solve these workloads. Combined with InfiniBand, NVIDIA Magnum IO, and the RAPIDS suite of open-source libraries, including the RAPIDS Accelerator for Apache Spark for GPU-accelerated data analytics, the SeiMaxim compute platform accelerates these huge workloads at unprecedented levels of performance and accuracy.

Enterprise-Ready Utilization

A100 80GB GPU with MIG maximizes the utilization of GPU-accelerated infrastructure. With MIG, an A100 GPU can be partitioned into as many as seven independent instances, giving multiple users access to GPU acceleration.

MIG works with containers, Kubernetes, and hypervisor-based server virtualization. MIG lets infrastructure managers offer a right-sized GPU with guaranteed QoS for every job, extending the use of accelerated computing resources to every user.

NVIDIA RTX A6000: For Powerful Visual Computing

NVIDIA RTX A6000 Graphics Card 48GB GDDR6 GA102 GPU

Extreme Performance

Develop the next generation of revolutionary designs, immersive entertainment, and scientific breakthroughs with the NVIDIA RTX A6000, the world’s most powerful visual computing GPU. With its next-gen features and performance, the RTX A6000 lets you tackle the workloads of today and resolve the complex compute-intensive tasks of tomorrow.

48 GB of GPU Memory

Ultra-fast scalable GDDR6 memory, gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like in data science and simulation.

Ampere Architecture Based CUDA Cores

Double-speed processing for single-precision floating-point (FP32) operations and improved power efficiency provide extensive performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).

Second-Generation RT Cores

With up to 2x the performance over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for architectural design evaluations, photorealistic rendering of movie content, and virtual prototyping of product designs. RTX A6000 speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.

Third-Generation Tensor Cores

New Tensor Float 32 (TF32) precision provides up to 5x the training throughput over the last generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.

NVIDIA RTX 3090: The king of GeForce GPUs

nvidia gigabyte geforce rtx 3090 turbo 24gb


Built for Live Streaming

Develop incredible graphics and deliver smooth, stutter-free live streaming. GeForce RTX 3090 GPU feature next-generation streaming capabilities with NVIDIA Encoder, engineered to deliver impressive performance and pristine image quality. Exclusive optimizations to all your favorite streaming applications unleash the ability to give your audience your very best all the time.

Deep Learning Super Sampling

Get a performance boost with NVIDIA DLSS (Deep Learning Super Sampling) on the RTX 3090 GPU. Its AI-specialized Tensor Cores amplify your games with uncompromised image quality. This lets you optimize the settings and resolution for an even better visual experience.

Ray Tracing

RTX 3090 has 2nd generation RT cores for maximum ray tracing performance and quality. Ray tracing simulates how light behaves in the real world to produce the most realistic and immersive graphics for developers and gamers.

Up Your Creative Game

Take your creative projects to a new level with AI-accelerated apps backed by the NVIDIA Studio platform and powered by GeForce RTX 3090 GPU.  Whether you’re editing 8K video, rendering complex 3D scenes, or live streaming with the best encoding and image quality, GPU acceleration gives you the performance to create your best.

DirectX 12 Ultimate

Developers can now add even more amazing graphics effects to Microsoft Windows-based PC games. GeForce RTX 3090 graphics card deliver advanced DX12 features like ray tracing and variable-rate shading, bringing games to life with ultra-realistic visual effects and faster frame rates.

Why SeiMaxim GPU Dedicated Servers

Mission-critical servers designed for seamless integration with NVIDIA A100, RTX A6000, RTX 3090, Quadro, and Tesla GPU

GPU Dedicated Servers

GPU vs. Dedicated

GPU vs. Dedicated

Accelerate your most demanding HPC and hyper-scale data center workloads on our GPU dedicated servers. GPU servers are better for high-performance computing than Dedicated Servers with CPUs alone due to the thousands of efficient CUDA cores designed to process information faster, powered by the choice of NVIDIA Ampere A100 80GB, NVIDIA GeForce, TESLA, or GRID GPU boards deployed in our high-end servers.

HPC Apps

HPC Apps

The old approach of deploying lots of commodity compute nodes substantially increases costs without proportionally increasing data center performance. With over 500 HPC applications accelerated on GPU, including all of the top 15, all HPC customers can now get a dramatic throughput boost for their workloads, while also saving money.



Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could be using traditional CPUs in applications ranging from cryptocurrency mining, chemistry, visualization/image analysis, fluid dynamics, and energy exploration to deep learning. Our GPU Servers also deliver the horsepower needed to run bigger simulations faster than ever before.

Frequently Asked Questions

General-purpose computing on graphics processing units GPU (GPGPU) has many advantages over CPU-only servers

What software is included?

Typically we will deliver our systems with an OS of your choosing, and that’s it. However, we have a limited number of GPU/HPC applications to assist with the setup. Some of our most popular GPU-enabled applications are Caffe, Amber, TensorFlow, Torch, AutoCAD, and more. These are quick setup GPU applications that are optimized to perform best with heavy GPU workloads.

Will my GPU server be virtualized?

No. Unless you request this during the design and build consultation. Virtualization does have some benefits but could reduce your application’s overall performance since it requires some overhead resources. You will get full root access to the server and all the peered GPUs.

What is the difference between GPU models?


FP64 Tensor Core 19.5 TFLOPS
FP32 19.5 TFLOPS
Tensor Float 32 (TF32) 156 TFLOPS | 312 TFLOPS*
BFLOAT16 Tensor Core 312 TFLOPS | 624 TFLOPS*
FP16 Tensor Core 312 TFLOPS | 624 TFLOPS*
INT8 Tensor Core 624 TOPS | 1248 TOPS*
GPU Memory 80GB HBM2e
GPU Memory Bandwidth 1,935GB/s
Multi-Instance GPU Up to 7 MIGs @ 10GB
Interconnect NVIDIA NVLink Bridge for 2 GPUs: 600GB/s ** – PCIe Gen4: 64GB/s


GPU Memory 48 GB GDDR6 with error-correcting code (ECC)
Graphics Bus PCI Express Gen 4 x 16
NVLink 2-way low profile (2-slot and 3-slot bridges) Connect 2 RTX A6000
vGPU Software Support NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server

RTX 3090

NVIDIA CUDA Cores 10496
Boost Clock 1.70 GHz
Memory Size 24 GB
Memory Type GDDR6X

PNY Quadro GP100

CUDA Cores 3584
Memory Bandwidth 717 GB/s
GPU Memory 16 GB HBM2
FP32 Performance 10.3 TFLOPS

Nvidia Quadro P1000

CUDA Cores 640
Memory Bandwidth 80 GB/s
GPU Memory 4 GB
GDDR5 FP32 Performance 1.894 TFLOPS

Nvidia Quadro P5000

CUDA Cores 2560
Memory Bandwidth 288 GB/s
GPU Memory 16 GB
GDDR5X FP32 Performance 8.9 TFLOPS

GeForce GTX1080Ti

CUDA Cores 3584
Memory Bandwidth 484 GB/s
GPU Memory 11 GB
GDDR5X FP32 Performance 11 TFLOPS
Are dedicated bare-metal GPUs available?

Yes, all SeiMaxim HPC dedicated servers are single-tenant solutions, allowing you to customize each server’s specification. We have hundreds of CPU, chassis, memory, and storage solutions available. Not sure what you need? Then let our sales engineering team help you with the selection process.

What GPU models are available at SeiMaxim?

While we can source any GPU around, we stock the following for immediate deployment.

  • NVIDIA Tesla A100
  • NVIDIA RTX A6000
  • RTX 3090
  • RTX 3080
  • RTX 3070
  • Quadro P1000
  • NVIDIA GeForce GTX 1080Ti
  • NVIDIA Quadro P5000
  • NVIDIA Quadro GP100
Can I use the dedicated GPU server for Cryptomining?

Yes. Our team has experience with Bitcoin and Etherium mining and would help engineer the best solution for your application.

How many GPUs can be added to a server?

If your application requires serious GPU performance, we can deliver 4, 8, or 10 GPUs peered together into a single root complex using today’s most advanced binding technology. Our HPC servers are data center grade and equipped with NVIDIA and AMD GPU accelerators.

Can I conduct Molecular dynamics (MD) simulations on NVIDIA A100 GB GPU?

Yes, you can run molecular dynamics applications on A100 80GB GPU. Our engineers can help you install and configure the following MD software.

  • NAMD
  • QwikMD
  • FastROCS

SeiMaxim GPU Technology Platform

Accelerated server deployment and peace of mind

gpu servers

Many GPU hosting companies claim to have a quick setup but leave you with several hours of manual GPU setup. Who wants to do that? We sure don’t. SeiMaxim truly offers a fast, easy setup.

Our certified Unix engineers install the operating system, configure the GPU driver, and set up a network so you can easily access the server with RDP or Secure SSH shell. It doesn’t get any easier, and our server setup solution is an ideal solution.

NVIDIA RTX and NVIDIA Quadro professional graphics cards

Enable designers, scientists, artists, and researchers to explore their innovative ideas faster than ever.

nvidia rtx a6000