Premium AI Hosting:
Deep Learning GPU
Server Sale
Powerful bare-metal machine learning servers and GPU VPS for seamless AI model deployment — optimized for speed, scale, and cost efficiency.
AI Hosting Solutions: Nvidia Machine Learning Servers
Take advantage of limited-time discounts on high-performance Nvidia servers. Develop, test, and execute seamless AI model deployment with our robust LLM GPU server plans.
Professional GPU VPS- RTX Pro 2000
- 28GB RAM
- 16 CPU Cores
- 240GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: Nvidia RTX Pro 2000
- CUDA Cores: 4,352
- Tensor Cores: 5th Gen
- GPU Memory: 16GB GDDR7
- FP32 Performance: 17 TFLOPS
Advanced GPU VPS- RTX Pro 4000
- 60GB RAM
- 24 CPU Cores
- 320GB SSD
- 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: Nvidia RTX Pro 4000
- CUDA Cores: 8,960
- Tensor Cores: 280
- GPU Memory: 24GB GDDR7
- FP32 Performance: 34 TFLOPS
Advanced GPU VPS- RTX Pro 5000
- 60GB RAM
- 24 CPU Cores
- 320GB SSD
- 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: Nvidia RTX Pro 5000
- CUDA Cores: 14,080
- Tensor Cores: 440
- GPU Memory: 48GB GDDR7
- FP32 Performance: 66.94 TFLOPS
Enterprise GPU VPS- RTX Pro 6000
- 90GB RAM
- 32 CPU Cores
- 400GB SSD
- 1000Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: Nvidia RTX Pro 6000
- CUDA Cores: 24,064
- Tensor Cores: 852
- GPU Memory: 96GB GDDR7
- FP32 Performance: 126 TFLOPS
Inference Engines for AI Model Deployment
LLM frameworks and tools simplify the complexities of working with large language models by providing APIs, libraries, and utilities that streamline training, high-throughput inference, and seamless AI model deployment.
Ollama is a self-hosted AI platform designed to run open-source large language models. It provides quantized versions of popular models, significantly reducing model size and GPU requirements. This makes it ideal for small-scale projects, rapid AI model deployment, or early-stage testing on a cost-effective LLM GPU server. Explore benchmark results across various GPU servers with step-by-step setup guides to get started quickly.
vLLM is a high-performance LLM inference engine built for speed, scalability, and production readiness. Unlike Ollama, vLLM typically runs full-size, non-quantized models from Hugging Face, offering greater accuracy and low-latency performance. It is the ultimate software stack for your AI inference server in enterprise-grade applications. Explore vLLM capabilities and performance benchmarks across our GPU servers.
LLM Hosting with Ollama — GPU Recommendation
Recommended GPUs ordered from entry-level to high-performance. Tokens/s values are derived from real benchmark data across our Nvidia GPU servers.
LLM Hosting with vLLM + Hugging Face — GPU Recommendation
vLLM runs full-precision (16-bit) models for maximum accuracy. Recommended GPUs are ordered from entry production-ready to multi-GPU enterprise clusters. Concurrent requests tested at 50.
Ollama GPU Benchmarks — Model Performance
We've benchmarked LLMs on GPUs ranging from P1000 to H100. These benchmarks provide insights into how different GPUs perform with Ollama across various model sizes, helping you choose the ideal AI hosting server.
vLLM GPU Benchmarks — Model Performance
We've benchmarked LLMs on GPUs including A5000, A40, A6000, RTX 4090, Dual RTX 4090, A100 40GB, Dual A100, 4×A100, A100 80GB, H100, and 4×A6000. Explore the results to select the ideal GPU server for your workload.
What Clients Say About Our AI Hosting GPU Server
Delivering exceptional service and support is our highest priority at GPU Mart. Here's a glimpse of what our clients have said about their experience with our GPU server services.
"GPU-Mart's bare-metal servers gave us the inference throughput we needed for production LLM deployment. The setup was fast and support was incredibly responsive. We run Llama 3 70B across multiple A100 instances without any issues."
"Switching from other provider to GPU-Mart's dedicated servers cut our inference costs by more than half. The RTX 4090 plan is outstanding value for running DeepSeek and Qwen models with vLLM in a self-hosted environment."
"The 24-hour free trial was a game-changer. I tested my Ollama setup on an A4000 server before committing, and the benchmark results matched exactly what GPU-Mart published. Transparent, reliable, and great pricing."
"We deploy DeepSeek-R1 70B for our enterprise RAG pipeline. GPU-Mart's H100 server handles our peak load effortlessly. The recurring discount means we're locking in excellent pricing for the long run — highly recommended."
"I started with a V100 plan for testing Qwen 2.5 7B using Ollama and the tokens-per-second performance matched the published benchmarks perfectly. Upgraded to an A100 plan within a week — seamless experience throughout."
"Server provisioning in under 30 minutes, full root access, and the 2×A100 multi-GPU setup runs our Gemma 3 27B model at sustained throughput without a single hiccup. GPU-Mart is now our go-to for all AI inference infrastructure."
"We migrated our Mistral-7B chatbot from a cloud provider to GPU-Mart's RTX 3060 Ti plan. Latency dropped, costs dropped, and the team had full control over the environment. Couldn't be happier with the move."
"The RTX 5090 plan blew our expectations. We run quantized 32B models at speeds that rival much more expensive cloud solutions. GPU-Mart's support team helped us configure vLLM for maximum throughput in less than an hour."
Questions About AI Hosting Promotion
Find answers to common questions below. For personalized recommendations or further assistance, reach out to our online support team.
We offer a 24-hour free trial for new clients who wish to test our GPU server. To request a trial server, please follow these steps:
Limited-Time AI Hosting Deal
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Power your AI workloads with high-performance GPU hosting designed for speed, stability, and cost efficiency. Instantly deploy NVIDIA-powered servers to run LLMs, model training, and inference with ease.