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OVH Dedicated Servers
Enterprise GPU hosting and rental for AI, AIGC image/video generation, and rendering. Dedicated GPU servers with stable uptime, full control, and no throttling or hidden limits. Get started in minutes.

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Website, pricing, platforms and company facts side by side.
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| Website | gpu-mart.com | launchrender.com |
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| Company | Startup from the United States · 50 - 99 employees · 2019 | — |
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In their own words, as submitted to SaaSHub.


GPU Mart has spent over 7 years empowering builders and researchers with high-performance GPU hosting. With enterprise NVIDIA GPUs, 99.9% uptime, full root access, and 24/7 expert support, we help breakthroughs happen faster.
No description of LaunchRender yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GPU Mart and LaunchRender.
GPU Mart's answer
GPU Mart is unique because it owns and operates its own GPU infrastructure, offering fully dedicated GPU servers with no shared resources, flat-rate pricing, and significantly lower costs compared to major cloud providers.
GPU Mart's answer
Users choose GPU Mart because it provides dedicated GPU performance without virtualization, up to 80% lower cost than hyperscalers, no hidden fees (no egress or setup charges), and stable long-term uptime backed by SOC-certified US data centers.
GPU Mart's answer
The primary audience includes AI developers, machine learning engineers, LLM builders, game developers, 3D artists, and companies running GPU-intensive workloads such as inference, training, rendering, and streaming.
GPU Mart's answer
GPU Mart is built by a team with over 20 years of infrastructure experience and is backed by Database Mart. It was created to provide affordable, high-performance GPU hosting by eliminating cloud middlemen and operating directly owned GPU data centers in the US.
GPU Mart's answer
NVIDIA GPUs (RTX, A100, H100, Blackwell series) CUDA computing platform KVM virtualization (for GPU VPS environments) NVMe storage ECC memory Linux & Windows server environments SOC-certified US data center infrastructure
GPU Mart's answer
AI startups and LLM developers Machine learning research teams Game development studios (Unreal Engine / Unity users) 3D rendering professionals (Blender, V-Ray, Redshift users) Generative AI companies (Stable Diffusion, Flux, ComfyUI pipelines) Streaming and remote GPU desktop users
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