Limited-Time GPU Server Sale

AI Hosting Promotion for
Training & Inference Workloads

Compare standard GPU plans and current GPU hosting offer options before checkout, or request a tailored configuration for a specific model, VRAM target, operating system, and budget.

Support 20+ LLMs: DeepSeek, Llama 3, Qwen & More
Scale 0.5B to 110B Models for Compute-intensive Tasks
Seamless Integration: Ollama, vLLM, Hugging Face
GPU NVIDIA VRAM VRAM VRAM VRAM AI Tokens/s Up to 95+ Models 0.5B–110B

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.

New AI Hosting Products
New Product
Deep Learning GPU Dedicated Server
GPU Dedicated Server
Machine Learning GPU VPS
GPU VPS

Professional GPU VPS - RTX Pro 2000

$ 149.00/mo
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  • GPU: RTX Pro 2000
  • CPU: 16 CPU Cores
  • Memory: 28GB RAM
  • Disk: 240GB SSD
  • Bandwidth: 300Mbps Unmetered
  • GPU Memory: 16 GB GDDR7
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Advanced GPU VPS - RTX Pro 4000

$ 189.00/mo
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  • GPU: RTX Pro 4000
  • CPU: 24 CPU Cores
  • Memory: 56GB RAM
  • Disk: 320GB SSD
  • Bandwidth: 500Mbps Unmetered
  • GPU Memory: 24 GB GDDR7
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Advanced GPU VPS - RTX Pro 5000

$ 359.00/mo
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  • GPU: RTX Pro 5000
  • CPU: 24 CPU Cores
  • Memory: 56GB RAM
  • Disk: 320GB SSD
  • Bandwidth: 500Mbps Unmetered
  • GPU Memory: 48 GB GDDR7
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Enterprise GPU VPS - RTX Pro 6000

$ 649.00/mo
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  • GPU: RTX Pro 6000
  • CPU: 32 CPU Cores
  • Memory: 84GB RAM
  • Disk: 400GB SSD
  • Bandwidth: 1000Mbps Unmetered
  • GPU Memory: 96 GB GDDR7
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

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.

Self-Hosted · Quantized Models

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.

Production-Grade · Full Precision

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.

Model Name
Size (Q4)
Recommended GPUs Low → High Performance
Tokens/s
deepSeek-r1:7B
4.7 GB
T1000RTX 3060 TiRTX 4060A4000RTX 5060V100
26.70 – 87.10
deepSeek-r1:8B
5.2 GB
T1000RTX 3060 TiRTX 4060A4000RTX 5060V100
21.51 – 87.03
deepSeek-r1:14B
9.0 GB
A4000A5000V100
30.2 – 48.63
deepSeek-r1:32B
20 GB
A5000RTX 4090A100-40GBRTX 5090
24.21 – 45.51
deepSeek-r1:70B
43 GB
A40A60002×A100-40GBA100-80GBH1002×RTX 5090
13.65 – 27.03
deepseek-v2:236B
133 GB
2×A100-80GB2×H100
—
llama3.2:1B
1.3 GB
P1000GTX 1650GTX 1660RTX 2060T1000RTX 3060 TiRTX 4060RTX 5060
28.09 – 100.10
llama3.1:8B
4.9 GB
T1000RTX 3060 TiRTX 4060RTX 5060A4000V100
21.51 – 84.07
llama3:70B
40 GB
A40A60002×A100-40GBA100-80GBH1002×RTX 5090
13.15 – 26.85
llama3.2-vision:90B
55 GB
2×A100-40GBA100-80GBH1002×RTX 5090
~12 – 20
llama3.1:405B
243 GB
8×A60004×A100-80GB / 4×H100
—
gemma2:2B
1.6 GB
P1000GTX 1650GTX 1660RTX 2060
19.46 – 38.42
gemma3:4B
3.3 GB
GTX 1650GTX 1660RTX 2060T1000RTX 3060 TiRTX 4060RTX 5060
28.36 – 80.96
gemma3n:e2B
5.6 GB
T1000RTX 3060 TiRTX 4060RTX 5060
30.26 – 56.36
gemma3n:e4B
7.5 GB
A4000A5000V100RTX 4090
38.46 – 70.90
gemma3:12B
8.1 GB
A4000A5000V100RTX 4090
30.01 – 67.92
gemma3:27B
17 GB
A5000RTX 4090A100-40GBH100RTX 5090
28.79 – 47.33
qwen3:14B
9.3 GB
A4000A5000V100
30.05 – 49.38
qwen2.5:7B
4.7 GB
T1000RTX 3060 TiRTX 4060RTX 5060
21.08 – 62.32
qwen2.5:72B
47 GB
2×A100-40GBA100-80GBH1002×RTX 5090
19.88 – 24.15
qwen3:235B
142 GB
4×A100-40GB2×H100
~10 – 20
mistral:7B variants
4.1–4.4 GB
T1000RTX 3060RTX 4060RTX 5060
23.79 – 73.17
mistral-nemo:12B
7.1 GB
A4000V100
38.46 – 67.51
mistral-small:22B / 24B
13–14 GB
A5000RTX 4090RTX 5090
37.07 – 65.07
mistral-large:123B
73 GB
A100-80GBH100
~30

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.

Model Name
Size (FP16)
Recommended GPU(s) Low → High Performance
Concurrent
Tokens/s
deepseek-coder-6.7B-instruct
~13.4 GB
A5000RTX 4090
50
1375 – 4120
DeepSeek-R1-Distill-Llama-8B
~16 GB
2×A40002×V100A5000RTX 4090
50
1450 – 2769
deepseek-coder-33B-instruct
~66 GB
A100-80GB2×A100-40GB2×A6000H100
50
570 – 1470
DeepSeek-R1-Distill-Llama-70B
~135 GB
4×A6000
50
466
Llama-3.2-3B-Instruct
6.2 GB
A4000A5000V100RTX 4090
50–300
1375 – 7214
Llama-3.3-70B / 3.1-70B / 3-70B
132 GB
4×A100-40GB2×A100-80GB2×H100
50
~296 – 991
gemma-3-4b-it
8.1 GB
A4000A5000V100RTX 4090
50
2015 – 7214
gemma-2-9b-it
18 GB
A5000A6000RTX 4090
50
951 – 1663
gemma-3-12b-it
23 GB
A100-40GB2×A100-40GBH100
50
477 – 4193
gemma-3-27b-it
51 GB
2×A100-40GBA100-80GBH100
50
1232 – 1991
Qwen2-VL-2B-Instruct
~5 GB
A4000V100
50
~3000
Qwen2.5-VL-3B-Instruct
~7 GB
A5000RTX 4090
50
2715 – 6980
Qwen2.5-VL-7B-Instruct
~15 GB
A5000RTX 4090
50
1334 – 4009
Qwen2.5-VL-32B-Instruct
~65 GB
2×A100-40GBH100
50
577 – 1482
Qwen2.5-VL-72B-Instruct-AWQ
137 GB
4×A100-40GB2×H1004×A6000
50
155 – 450
Pixtral-12B-2409
~25 GB
A100-40GBA60002×RTX 4090
50
713 – 861
Mistral-Small-3.2-24B-Instruct
~47 GB
2×A100-40GBH100
50
~1200 – 2000
Pixtral-Large-Instruct-2411
292 GB
8×A6000
50
~466

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."

A
Alex T.
ML Engineer, AI Startup

"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."

S
Sarah K.
CTO, SaaS Platform

"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."

M
Marcus R.
Research Engineer

"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."

J
James L.
Lead Engineer, Enterprise AI

"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."

Y
Yuki T.
AI Developer, Japan

"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."

R
Ravi P.
Head of AI, Fintech Company

"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."

L
Lena M.
Backend Developer, EU

"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."

D
David C.
Founder, AI Products Studio

Questions About Current AI Hosting Offers

Review promotion eligibility, billing terms, deployment details, and trial options before placing an order.

The promotion applies only to eligible GPU dedicated server plans listed on this page. Promotional availability can vary by configuration and current inventory. You may order up to three eligible plans under the promotion; contact sales for bulk requirements.
Eligible GPU server orders start from a one-month billing term. Review the selected plan and checkout details to confirm the current offer for your preferred configuration and term.
The promotional price depends on the selected GPU server configuration and billing term. Where a recurring discount applies, it remains available at renewal only while the same eligible plan and offer terms continue to apply.
This promotion is intended for eligible new GPU server orders. Existing server discounts and other offers may have different terms. Contact the sales team if you need help confirming eligibility for an existing service or renewal.
Promotion eligibility is evaluated against the target configuration. If you upgrade, downgrade, or move to a plan that is not included in the offer, the original promotional price may no longer apply.
We accept Visa, MasterCard, American Express, JCB, Discover, Diners Club, PayPal, wire transfer, and check. Non-instant payment methods can delay deployment until payment clears. Wire transfers must be over $100, and paper checks are available only to U.S. clients.
Standard GPU dedicated server deployment typically takes 20–40 minutes after payment and verification. Customized GPU server configurations may require additional preparation time.

A 24-hour free trial may be available for eligible new clients and selected GPU server plans.

Step 1 Submit a Free Trial Request Select an eligible plan, click “Order Now,” add “Need free trial” to your order note, and complete the request through the Order Confirm page.
Step 2 Complete Security Verification Verification generally takes about 30 minutes to 2 hours. If approved, server login details are provided in the console; if not approved, you will receive an email notification.
Share your workload, model size, GPU memory target, operating system, and budget through our GPU server configuration request page. Our team can recommend a suitable configuration based on current availability.
Limited-Time Offer

Limited-Time AI Hosting Deal
Don't Miss Out

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.