Our Own Data Center · Live

High-End GPU Server Rental at Unbeatable Prices

We own and operate a private data center stacked with NVIDIA H100, A100, RTX 4090 and RTX 3090 GPUs. No middlemen, no hyperscaler markup, no surprises on the bill.

Live · Datacenter Status
  • Online
  • 1 Slot
  • Reserved
  • NODE-ANode A · H100 80GB ×8Online
  • NODE-BNode B · A100 80GB ×4Online
  • NODE-CNode C · RTX 4090 ×81 Slot Free
  • NODE-DNode D · RTX 4090 ×4Online
  • NODE-ENode E · RTX 3090 ×8Reserved
  • NETWORKNetworking · 100GbpsActive
Refreshed every 60s · Source: on-prem monitoring stack

Every node is pre-configured with the modern AI stack — Ollama, vLLM, Jupyter, CUDA — so you can ship the moment your server is provisioned. Private networks, isolated environments, and 99.9% uptime backed by our own power redundancy.

  • NVIDIA H100
  • NVIDIA A100
  • RTX 4090
  • RTX 3090
  • NVLink
  • InfiniBand

Three tiers. Same data center.

Pick the tier that matches your workload. Move up when you need to — we don't lock you in.

Starter GPU

Custom Quote

For developers & small AI projects. Great for running Llama, Mistral, Phi.

  • RTX 3090 24GB (1–2 GPUs)
  • 64GB–128GB RAM
  • 2TB NVMe SSD Storage
  • 1Gbps dedicated port
  • Ollama / vLLM pre-installed
  • SSH + Web dashboard access
Most Popular

Pro GPU

Custom Quote

For production AI inference, model fine-tuning, and team workloads.

  • RTX 4090 24GB (2–8 GPUs)
  • 256GB–512GB RAM
  • 8TB NVMe SSD RAID
  • 10Gbps dedicated port
  • Full AI stack + Jupyter
  • Private network isolation
  • Daily snapshots & backups

Enterprise GPU

Custom Quote

For large-scale AI, heavy training runs, and full cluster deployments.

  • A100 / H100 (4–16 GPUs)
  • 1TB+ RAM configurations
  • 100TB NVMe + SAN storage
  • 100Gbps InfiniBand network
  • NVLink multi-GPU clusters
  • Dedicated rack & power
  • 24/7 dedicated support

Compare GPUs

H100 vs A100 vs RTX 4090 — at-a-glance specs and our pricing.

SpecNVIDIA H100NVIDIA A100RTX 4090
VRAM80 GB HBM380 GB HBM2e24 GB GDDR6X
Memory Bandwidth3.35 TB/s2.0 TB/s1.0 TB/s
NVLink SupportYes · 900 GB/sYes · 600 GB/sNo
FP8 Tensor Performance3,958 TFLOPS
Best ForFrontier LLM training, multi-nodeProduction inference, fine-tuningSingle-node fine-tunes, dev work
Starting PricePremium · Talk to usMid-tier · Custom quoteFrom $0.79/hr

Common questions

  • How long does a typical project take to deploy?

    Most projects go live within 1–4 weeks depending on complexity. A simple chatbot or automation workflow can be deployed in days. Full AI infrastructure or custom SaaS projects typically take 3–6 weeks. We always scope timelines clearly before starting.

  • Can the AI run entirely on our own hardware?

    Yes — this is one of our core specialties. We deploy fully private, on-premise AI using Ollama, vLLM, or custom inference stacks on your own servers. Your data never leaves your building. This is especially popular with legal firms, healthcare providers, and financial institutions.

  • What AI models do you support?

    We work with any open-source model — Llama 3.x, KesarCloud Technologies R1/V3, Mistral, Qwen 2.5, Gemma 3, Phi-4, and more. We help you choose the right model for your use case, hardware constraints, and privacy requirements. We also assist with fine-tuning on your own data.

  • Do you offer ongoing support after deployment?

    Yes. We offer monthly maintenance retainers that include monitoring, updates, model upgrades, and feature additions. All clients also get direct WhatsApp access to our engineering team for questions and issues — no ticket queues.

Have a different question? Talk to a human →

Talk to a Human

Reserve a GPU server today.

Share your workload, your timeline, and your budget — we'll come back with a quote in 24 hours.