RTX 5090
Utah Data Center
- AMD Ryzen 9950X
- 96GB DDR5
- 3.84TB NVMe SSD
- 10Gbps bandwidth
- 50TB traffic
- 5 IPv4
GPU Server
Ultra-fast AI training, high-performance rendering, and enterprise-grade infrastructure tailored for modern AI workloads.
Tailored GPU Server Solutions
Built for AI training and high-performance computing with the latest RTX GPUs. Contact support for free DeepSeek local model deployment and custom solutions.
Utah Data Center
Los Angeles Data Center
New Jersey Data Center
Utah Data Center
Multi-GPU cluster solutions for large-scale AI training and inference with enterprise-grade networking and hardware options.
Free AI Deployment
We provide free LLM deployment services for popular frameworks and models.
Starting at $1299/mo
Utah Data Center
Houston Data Center
Dallas Data Center
Dallas, Seattle, Virginia
New York Data Center
US Data Center
Asia Data Center
Low-latency networking with enterprise-grade H100 GPUs across multiple APAC locations.
Asia Data Center
Asia Data Center
Asia Data Center
Asia Data Center
Asia Data Center
Asia Data Center
Tokyo Data Center
Asia Data Center
GPU servers deliver massive parallel compute for AI training, data mining, and high-performance workloads with faster results than CPU-only servers.
Thousands of CUDA cores handle massive data in parallel, reducing AI training cycles by 10x to 100x.
Professional GPU memory bandwidth exceeds 3TB/s, keeping large models and datasets flowing smoothly.
Pre-installed drivers and CUDA toolkits with support for PyTorch, TensorFlow, and other frameworks.
Choose 2 to 8 GPUs per node with multi-node clustering for research and production workloads.
Pay only for what you need and avoid large upfront hardware investments and maintenance costs.
24/7 GPU experts help with configuration, performance tuning, and deployment troubleshooting.
Compare performance specifications to select the ideal GPU configuration for your AI projects.
| Category | CPU Server | RTX 4090 | H100 SXM5 | H200 SXM5 |
|---|---|---|---|---|
| Memory Capacity | System memory | 24GB GDDR6X | 80GB HBM3 | 141GB HBM3e |
| AI Performance | Baseline performance | 82.6 TFLOPS FP32, 1,321 TOPS INT8 | 67 TFLOPS FP32, 3,958 TOPS INT8 | 71 TFLOPS FP32, 4,122 TOPS INT8 |
| Memory Bandwidth | System memory | 1,008 GB/s | 3,350 GB/s | 4,800 GB/s |
| AI Models | Basic ML, data processing | Stable Diffusion, Llama 2 7B/13B | Llama 2 70B, GPT-3, Bloom 176B | Llama 3 400B+, GPT-4, Claude 3 |
| Speed Improvement | 1x | 10x to 50x | 50x to 200x | 100x to 300x |
| Use Cases | Web services, databases | AI development, image generation | Enterprise AI, large model inference | Ultra-large training, production AI |
Answers to common questions about GPU server specs, performance, and billing.
GPU servers offer massive parallelism with enterprise GPUs such as RTX 4090, H100, and H200. Training can be 10x to 300x faster for deep learning, and we provide free LLM deployment to accelerate launch.
RTX 4090 is ideal for prototyping and mid-size models. H100 targets enterprise training at scale, while H200 is designed for next-gen research with 141GB HBM3e memory.
Ubuntu 22.04 LTS, the latest NVIDIA drivers, CUDA Toolkit 12.x, and support for PyTorch, TensorFlow, JAX, plus Docker for containerized workflows.
Standard configurations are delivered in 4 to 24 hours. Our 24/7 GPU specialists help with CUDA environments, performance tuning, and LLM deployment.
Yes. Choose 2 to 8 GPUs per node with NVLink interconnect and multi-node distributed training options.
Monthly and annual billing options are available with discounts for yearly plans. We accept PayPal, credit cards, Alipay, and WeChat Pay.
Over 3,000 AI professionals rely on Hostease GPU servers for fast training and inference.
3,000+
AI professionals served
99.99%
Training uptime
Free
LLM setup
We moved to an 8x H100 configuration and saw a 2.5x speed boost over our A100 cluster. The bandwidth allowed larger batch sizes and faster iteration.
Dr. Chen Wei
Head of Deep Learning, AI Research Institute
Our vision workloads rely on RTX 4090 for strong price performance. Free model deployment helped us launch fast with multi-node scalability.
Sarah Zhang
CTO, VisionAI Startup
The H200 memory bandwidth lets us run hundreds of simulations in parallel. Support helped us optimize our GPU environment quickly.
Michael Liu
Director of AI, GameStudio
The HostEase expert support team is ready to help with GPU setup, performance optimization, and troubleshooting. Access tutorials, knowledgebase resources, or talk to our engineers.
Contact us: +1 (818) 301-5026. International calling charges may apply.