About GPU Mart

GPU Mart is an independent hosting brand focused on one thing: dedicated GPU VPS and bare-metal GPU servers for AI, machine learning, rendering, and high-performance computing — deployed in as fast as 2 minutes.

2021Founded 25,000+GPU servers deployed 2 minFastest deployment 99.9%Uptime SLA
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Our Focus

Built to Do One Thing Well

Since launching in 2021, GPU Mart has never tried to be a general-purpose cloud. We do one thing — dedicated GPU hosting — and every server ships ready to work, with new instances deployed in as fast as 2 minutes.

GPU Mart is operated under Database Mart LLC, a U.S. infrastructure provider running its own hardware since 2005 — we apply that same owned-hardware model exclusively to GPU compute, so AI engineers, LLM teams, creative studios, and research groups get predictable flat-rate pricing, PCIe-passthrough hardware that's entirely theirs, and support that answers in under 5 minutes.

25+GPU configurations
2Owned U.S. data centers
0Shared GPU resources
Product Lineup

GPU Servers Built for Every Workload

Every GPU is physically dedicated — no oversubscription, no throttling, no noisy neighbors.

GPU VPS

Physically dedicated GPU access via PCIe passthrough, delivered at VPS-level pricing — fast to provision and easy to scale.

Best For

Dev/test environments, lightweight-to-mid inference, indie AI projects

Representative GPUs

RTX Pro 2000RTX Pro 4000RTX A4000

GPU Dedicated Server

Bare-metal servers with full root access — no virtualization layer, no shared hardware, spanning consumer to data-center GPUs.

Best For

Production AI training, 3D rendering, long-running 24/7 workloads

Representative GPUs

RTX 4090RTX A6000A100H100

Multi-GPU Server

Multi-card configurations connected via NVLink for distributed training and large-scale parallel workloads.

Best For

Distributed training, research clusters, large-batch parallel rendering

Representative GPUs

4× A1002× RTX 50903× RTX A6000

All GPU servers ship with ECC memory, NVMe storage, and enterprise networking — fully owned and operated hardware, not resold public-cloud capacity, deployed in as fast as 2 minutes.

App Ecosystem

One-Click GPU Apps

Every server can launch pre-configured with the frameworks GPU workloads actually run.

AI / LLM Inference

Ollama, vLLM, DeepSeek-R1, LLaMA 3, Qwen, Gemma

Image & Video Generation

Stable Diffusion, SDXL, Flux, ComfyUI, Automatic1111

Voice / OCR

Whisper, PaddleOCR, Chatterbox TTS

Development Environment

JupyterLab (GPU-enabled), CUDA / cuDNN toolkits

Who We Serve

Built for AI, Creative & Render Teams

Six workload profiles, one dedicated-GPU foundation.

AI Engineers & LLM Teams

Need consistent throughput and dedicated VRAM for production inference, not shared GPUs with unpredictable latency.

AI Image & Video Creators

Run Stable Diffusion, ComfyUI, and Flux with persistent storage for model weights and LoRA checkpoints.

3D Render Studios & Animators

Blender, Redshift, and V-Ray workloads that need stable frame times without render-farm queues.

Developers & Startups

Affordable, no-surprises pricing to move from prototype to production.

Enterprises & Research

SOC-certified infrastructure, SLA documentation, and configurations built for compliance-sensitive workloads.

Streamers & Broadcasters

NVENC-accelerated encoding for OBS and multi-stream pipelines that stay online 24/7 without dropped frames.

Brand Lineage

Backed by 20+ Years of U.S. Hosting

  • Owned U.S. data centers in Dallas, Texas and Kansas City, Missouri — no third-party facility dependency
  • In-house engineering team — 24/7 support handled by our own staff, not outsourced ticket queues
  • Transparent, flat-rate pricing with no surprise renewal hikes
  • 20+ years of hosting operations behind every GPU Mart server

Powered by Database Mart LLC

GPU Mart is the GPU-focused hosting brand operated under Database Mart LLC, a U.S. infrastructure provider that has run its own hardware since 2005.

Visit Database Mart LLC →
Our Journey

GPU-Mart Milestones

From entry-level GPUs to Blackwell architecture, since our 2021 launch.

2021 — Launched

GPU Mart's website goes live, launched alongside an expansion of our enterprise-grade GPU infrastructure — bringing NVIDIA Tesla K40, K80, and V100 online to power early AI and high-performance computing workloads.

2022

The lineup grows with NVIDIA's A-Series and RTX A4000/A5000 GPUs, opening up professional visualization, rendering, and AI compute capacity for creative and technical teams.

2023

GTX and RTX-series cards — including the 1650, 1660, 2060, and 3060 Ti — join the fleet, widening access to affordable GPU VPS and compute options for developers and startups.

2024

Enterprise-grade GPUs arrive with the RTX A6000, NVIDIA A100, and RTX 4090, built for large-scale AI training, inference, and deep learning. GPU VPS also debuts with PCIe-passthrough architecture, giving VPS-tier customers fully dedicated, non-shared GPU access.

2025

AI infrastructure scales further with NVIDIA H100 and RTX 5090, delivering the accelerated compute modern AI applications demand.

2026 — Today

NVIDIA's Blackwell Pro series GPUs arrive alongside an upgraded GPU VPS architecture built for stronger virtualization, automation, and AI-ready scalability. Our GPU dedicated servers gain expanded NVLink support for multi-GPU, distributed workloads. And a one-click pre-installed app ecosystem goes live across GPU servers, so AI, image-generation, and development environments are ready the moment a server deploys.

To Be Continued

Our product line keeps expanding — higher-configuration plans and new GPU models to serve users from entry-level to full production — alongside continued rollout of additional U.S. data center locations.

Our Commitment

Dedicated Hardware. Zero Compromises.

GPU Mart exists for one purpose: making dedicated GPU compute simple, transparent, and reliable. Every server you rent runs on hardware we own and engineers we employ — not a reseller markup, not a shared instance that might disappear mid-job.

No shared resources. No cold starts. No hidden fees. Deployment in as fast as 2 minutes, support response in under 5 minutes — just GPU capacity that stays online for as long as your workload needs it.

Ready to deploy dedicated GPU compute?

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