Rent Affordable NVIDIA Ampere GPU Servers

Accelerate AI, Deep Learning, HPC, and 3D Rendering Workloads with NVIDIA Ampere Architecture GPU servers – featuring high VRAM, multi-GPU scaling with NVLink, and optimized performance for enterprise workloads.
NVIDIA Ampere RTX Series, A6000, A100 GPU Servers

Why Choose NVIDIA Ampere Architecture?

Ampere may not be NVIDIA’s newest GPU, but it still delivers rock-solid performance at unbeatable value.
Volta / Turing 2017-2018 Architecture

2017-2018 Architecture

β€’ 2nd Gen Tensor Cores

β€’ FP32 & FP16 Precision

β€’ Limited Multi-GPU Scaling

β€’ Lower Memory Bandwidth
Ampere Architecture 2020-2021 Architecture
2020-2021 Architecture
βœ” 3rd Gen Tensor Cores for Faster AI Training
βœ” Multi-Precision Support (TF32 / FP16 / BF16 / INT8)
βœ” Optimized for AI, Deep Learning & HPC Workloads
βœ” Scalable Multi-GPU Performance
βœ” Large HBM2e Memory for Data-Intensive Tasks
βœ” Enterprise Features Available on A100 GPUs
Hopper / Ada 2022+ Architecture
2022+ Architecture
β€’ Higher Cost

β€’ Limited Availability

β€’ Premium Pricing

β€’ Best for Cutting-Edge Only

Ampere GPU Performance Advantages

20x

Faster AI Training vs FP32 with TF32 precision

2x

FP16 Performance vs Volta on NVIDIA A100

400GB/s

NVLink Bandwidth GPU-to-GPU communication

80GB

Max VRAM per GPU A100 80GB

Find the Best Ampere GPU Server for Your Needs

Choose from our range of high-performance NVIDIA Ampere GPU servers, from RTX 2060, A4000 to 4xA100, stocked servers delivered within 10 minites to 2 hours.
GPU ModelCPUMemoryDiskBandwidthPrice
RTX 2060ξ… 
40-Core Dual Gold 6148128GB RAM120GB SSD + 960GB SSD
100Mbps Unmeteredξ… 
$119.50/moOrder Now
A100(80GB)ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
100Mbps Unmeteredξ… 
$764.55/moOrder Now
4 x RTX A6000ξ… 
44-core Dual E5-2699v4512GB RAM240GB SSD+4TB NVMe+16TB SATA
1000Mbps Unmeteredξ… 
$1599.00/moOrder Now
4 x A100ξ… 
44-core Dual E5-2699v4512GB RAM240GB SSD+4TB NVMe+16TB SATA
1000Mbps Unmeteredξ… 
$1124.55/moOrder Now
A100ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
100Mbps Unmeteredξ… 
$359.55/moOrder Now
3 x RTX A6000ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
1000Mbps Unmeteredξ… 
$1199.00/moOrder Now
3 x RTX A5000ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
1000Mbps Unmeteredξ… 
$699.00/moOrder Now
RTX A6000ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
100Mbps Unmeteredξ… 
$274.50/moOrder Now
A40ξ… 
36-Core Dual E5-2697v4256GB RAM240GB SSD+2TB NVMe+8TB SATA
100Mbps Unmeteredξ… 
$409.00/moOrder Now
RTX A5000ξ… 
24-Core Dual E5-2697v2128GB RAM240GB SSD+2TB SSD
100Mbps Unmeteredξ… 
$349.00/moOrder Now
RTX A4000ξ… 
24-Core Dual E5-2697v2128GB RAM240GB SSD+2TB SSD
100Mbps Unmeteredξ… 
$279.00/moOrder Now
RTX 3060 Tiξ… 
24-Core Dual E5-2697v2128GB RAM240GB SSD+2TB SSD
100Mbps Unmeteredξ… 
$107.55/moOrder Now
RTX 2060ξ… 
16-Core Dual E5-2660128GB RAM120GB SSD + 960GB SSD
100Mbps Unmeteredξ… 
$199.00/moOrder Now
Need a different GPU Nvidia architecture? Explore more GPU server plans βž”

Ampere GPU Server Features

Multi-GPU Scaling

Multi-GPU Scaling

Support 1–4 GPUs per server with NVLink, enabling large AI models and HPC workloads. Customized configurations help accelerate training and reduce deployment time.
High VRAM Capacity

High VRAM Capacity

From 8GB to 80GB per GPU or 48GB Γ—4 GPUs, ideal for memory-intensive tasks like AI inference, fine-tuning and 3D rendering. High VRAM ensures faster processing and better model performance.
Optimized for AI Frameworks

Optimized for AI Frameworks

Pre-installed with CUDA and AI models: Llama, GPT-OSS, Qwen3-VL, Ollama, ComfyUI, Gemma3, Stable Diffusion. Supports NVIDIA DIGITS, TensorRT, Keras, and most AI applications.

Who Needs Ampere GPU Server?

Ampere GPU servers deliver high-performance GPUs like Nvidia A100, A40, RTX A6000, and A5000, ideal for professionals and organizations running demanding workloads.

AI Researchers & Deep Learning Engineers

Training large neural networks requires immense computing power. Our Ampere GPU servers, powered by NVIDIA A100 GPUs, provide high VRAM and 3rd Gen Tensor Cores to speed up deep learning. Pre-installed models like Llama, GPT-OSS, Qwen3-VL, and Ollama make experimentation faster.

3D Artists & Rendering Studios

Visual effects, animation, and 3D rendering demand high-performance GPUs. With RTX A6000 or A40 servers, studios can run GPU-accelerated rendering pipelines, reducing render times dramatically. Supports applications like ComfyUI, Stable Diffusion, and major 3D rendering tools.

Scientific Computing & HPC Workloads

Researchers running CUDA-accelerated simulations, data modeling, and scientific computations benefit from Ampere’s high memory bandwidth and parallel processing. Fully compatible with PyTorch, TensorFlow, and other CUDA-based applications.

AI Inference & Production Deployment

Deploying AI models in production requires stable, low-latency GPU resources. Ampere servers with dedicated GPUs and multi-GPU support ensure fast inference. Supports Llama, Gemma3, Stable Diffusion, and other production AI pipelines.
AI Researchers & Deep Learning Engineers3D Artists & Rendering StudiosScientific Computing & HPC WorkloadsAI Inference & Production Deployment

Core Advancements of NVIDIA Ampere Architecture

Double the performance, accelerate AI training, and bring rendering to life β€” Ampere GPUs deliver unmatched efficiency and value.
3rd Generation Tensor Cores – Accelerate AI Fine-Tuning

3rd Generation Tensor Cores – Accelerate AI Training

NVIDIA Ampere GPUs, like the NVIDIA A100, feature 3rd Generation Tensor Cores that dramatically speed up AI training and fine-tuning. Supporting FP16, BF16, and mixed-precision calculations, these Tensor Cores deliver up to 2Γ— the AI performance compared to previous architectures. Our A100 40GB servers can train large transformer models or fine-tune pre-trained models in half the time.
TF32 Precision for AI – Fast, Accurate Computation

TF32 Precision for AI – Fast, Accurate Computation

Ampere introduces Tensor Float 32 (TF32) precision, balancing speed and accuracy for AI workloads. A100 GPUs deliver up to 20Γ— faster training and inference on deep learning models compared to FP32 on older GPUs, with no manual tuning needed. TF32 ensures large-scale transformers or convolutional networks train and infer faster while maintaining numerical stability.
NVLink Multi-GPU Connectivity – Seamless Scaling

NVLink Multi-GPU Connectivity – Seamless Scaling

Ampere GPUs support NVLink, allowing up to 4Γ— A100 GPUs to operate as a single high-speed cluster. This ensures extremely fast inter-GPU communication for distributed AI training, large-scale fine-tuning, and inference tasks. Multi-GPU setups maximize performance with high throughput and low latency.
2nd Generation RT Cores – Real-Time Ray Tracing

2nd Generation RT Cores – Real-Time Ray Tracing

Ampere GPUs, such as the RTX A6000, include 2nd Generation RT Cores for real-time ray tracing. They accelerate lighting, shadows, and reflections up to 1.5–2Γ— faster than Turing GPUs, making 3D rendering, animation, and virtual simulation significantly more efficient.

Compare Ampere GPUs

Detailed specifications comparison to help you choose the right Nvidia Ampere GPU.
GPU Target Workload Memory CUDA Cores Tensor Cores RT Cores Memory Bandwidth NVLink Support FP16 Performance FP32 Performance FP64 Performance
RTX 2060 Entry-Level AI, Video Encoding 6 GB GDDR6 1,920 120, 2nd Gen 30 336 GB/s No 6.5 TFLOPS 6.5 TFLOPS 162 GFLOPS
RTX 3060 Ti Prototyping AI Models, Gaming, Streaming 8 GB GDDR6 4,864 152, 2nd Gen 38 448 GB/s No 16.2 TFLOPS 16.2 TFLOPS 405 GFLOPS
A4000 Professional ML & Medium Models, CAD Rendering 16 GB GDDR6 ECC 6,144 192, 3rd Gen 48 448 GB/s No 19.2 TFLOPS 19.2 TFLOPS 480 GFLOPS
A5000 Large Model Fine-Tuning, Medium-Large AI Workloads 24 GB GDDR6 ECC 8,192 256, 3rd Gen 64 768 GB/s No 40.0 TFLOPS 40.0 TFLOPS 1.0 TFLOPS
A6000 Enterprise AI, Large Models, High-End Rendering 48 GB GDDR6 ECC 10,752 336, 3rd Gen 84 768 GB/s Yes 66.9 TFLOPS 66.9 TFLOPS 1.05 TFLOPS
A40 Scientific Computing, HPC, Multi-GPU Large Models 48 GB GDDR6 ECC 10,752 336, 3rd Gen 84 696 GB/s No 65.0 TFLOPS 65.0 TFLOPS 1.0 TFLOPS
A100 40GB Flagship AI Training, Extra-Large Models 40 GB HBM2e 6,912 432, 3rd Gen 0 1,555 GB/s Yes 312 TFLOPS 19.5 TFLOPS (FP32) 9.7 TFLOPS
A100 80GB Flagship AI Training, Huge Models 80 GB HBM2e 6,912 432, 3rd Gen 0 2,039 GB/s Yes 312 TFLOPS 19.5 TFLOPS (FP32) 9.7 TFLOPS

Why Host Ampere Server With Us?

Trusted & Proven
Over 25,000 GPU servers delivered worldwide, powering AI, deep learning, HPC, and rendering workloads with unmatched reliability.
Fully Dedicated Hardware
Every GPU and hardware component is 100% allocated, ensuring maximum performance and stability for AI fine-tuning, and large-scale computing.
Full Root / Admin Access
Install and run any AI frameworks or custom applications easily, with complete system control and remote monitoring via IPMI.
24/7 Expert Support
24/7 human support with reliable low-latency, unmetered, high-speed network for deployment and optimization.

Frequently Asked Questions

Find answers to common questions about our Ampere GPU servers.

What is the difference between NVIDIA A100 40GB and A100 80GB Ampere servers?


The primary difference is VRAM capacity. The NVIDIA A100 80GB Ampere GPU offers double the memory (80GB vs 40GB), making it ideal for larger AI models and datasets. Both A100 variants feature the same CUDA cores (6,912) and 3rd Gen Tensor Cores (432), but the 80GB version uses HBM2e memory with higher bandwidth, enabling better performance for memory-intensive workloads like training large language models or processing massive datasets on Ampere architecture.

Can I upgrade my Ampere GPU server plan later?


Yes, you can upgrade your Ampere GPU server plan at any time. Simply contact our support team, and we'll help prepare a higher-tier Ampere server plan so that you can migrate. You do not need to pay double server during the migration. We offer flexible upgrade paths from single NVIDIA Ampere GPU configurations to multi-GPU Ampere servers with NVLink connectivity.

Do Ampere GPU servers come with pre-installed AI frameworks?


Choose the pre-configured app environments for popular models like Llama, GPT-OSS, Qwen3-VL, Ollama, ComfyUI, Gemma3, and Stable Diffusion, then, choose the recommended Ampere server plans, which allowing you to start your Ampere GPU projects immediately.

What is NVLink and do I need it for my Ampere server?


NVLink is NVIDIA's high-speed interconnect technology that enables direct GPU-to-GPU communication at speeds up to 400GB/s on Ampere architecture. You need NVLink if you're running multi-GPU Ampere workloads such as distributed deep learning training, large-scale simulations, or rendering pipelines that require fast data transfer between NVIDIA Ampere GPUs. Single GPU workloads typically don't require NVLink.

What kind of support do you provide for Ampere GPU servers?


We provide 24/7 global support through live chat and ticketing system for all NVIDIA Ampere GPU server customers. Our support team consists of experienced engineers who can assist with Ampere server deployment, configuration, troubleshooting, performance optimization, and custom setup requests. All support is included free of charge with your Ampere GPU server plan.

What is the minimum contract period for Ampere servers?


We offer flexible billing options with monthly contracts and no long-term commitments required for our Ampere GPU servers. Usually, we charge the fee based on monthly, or annually.

How quickly can my Ampere GPU server be deployed?


For standard configurations (single GPU setups), Ampere server deployment can be as fast as 2 hours. Custom multi-GPU Ampere configurations with specific software requirements may take up to 72 hours to ensure everything is properly configured and tested.

Ready to Accelerate Your AI & HPC Workloads?

Deploy your high-performance Ampere GPU server today and experience the power of NVIDIA's advanced architecture.