Dedicated GPU servers for AI inference and training — not shared instances, not spot pricing, not noisy neighbors. Bare-metal NVIDIA GPUs running on GR1D's own power at $0.04/kWh, passing the savings directly to you.
NVIDIA H100, B200, and next-gen GPUs available. Rent by the server, by the cluster, or by the rack. No cloud markup. No egress fees. Just raw compute.
Our power cost advantage flows directly into lower GPU rental rates
Dedicated hardware — no hypervisor overhead, no shared tenancy, full root access
Move your data in and out without cloud-style bandwidth surcharges
Hourly, monthly, or annual commitments — scale up or down as workloads shift
Whether you're serving millions of inference requests or training the next frontier model, GR1D provides the dedicated GPU compute to make it happen.
Run production inference workloads on dedicated GPU servers. Predictable latency, predictable cost. Ideal for LLM serving, image generation, recommendation engines, and real-time AI applications.
Train foundation models or fine-tune existing ones on dedicated GPU clusters. Multi-node training with high-bandwidth interconnects. No spot instance interruptions, no preemption.
Power your AI product's backend with dedicated GPU compute. Consistent performance for your customers without the variable cost of cloud GPU instances eating into your margins.
Run AI workloads on physically isolated hardware in a U.S. facility. Full data sovereignty, no multi-tenant risk, compliance-ready infrastructure for healthcare, finance, and government.
Need 100 GPUs for a week? Rent burst capacity for research experiments, benchmarking, or proof-of-concept work without long-term commitments.
Migrate stable GPU workloads from AWS, GCP, or Azure to dedicated hardware. Typical savings of 40-70% for always-on workloads. Keep cloud for bursty, unpredictable demand.
Cloud GPU instances are great for prototyping. But for production AI workloads, dedicated compute delivers better performance at lower cost.
| Factor | Cloud GPU (AWS/GCP) | GPU Marketplace | GR1D Compute |
|---|---|---|---|
| Hardware | Shared / virtualized | Variable quality | Dedicated bare metal |
| Availability | Capacity limited | Spot / interruptible | Reserved & guaranteed |
| Egress Fees | $0.08–0.12/GB | Varies | None |
| Performance | Hypervisor overhead | Inconsistent | Full bare-metal speed |
| Data Control | Multi-tenant | Unknown hardware | Single-tenant, on-prem |
| Pricing Model | Per-hour + egress | Spot pricing | Flat rate, predictable |
| Support | Ticket-based | Community | Dedicated team + remote hands |
Share your GPU requirements — model type, workload (training vs inference), duration, and scale. We'll match you with the right hardware configuration.
Receive transparent pricing based on your specific needs. No hidden fees, no egress charges, no surprise bills. Hourly, monthly, or annual options.
Your dedicated GPU servers are provisioned and ready. Full root access, your network configuration, your storage. Start running workloads immediately.
Add more GPUs, more nodes, more storage as your AI workloads expand. GR1D's facility has capacity to grow with you — from a single server to a full rack.
Tell us about your GPU requirements and we'll deliver a custom compute quote within 24 hours. No commitment required.
Discuss your AI workload requirements, GPU selection, and pricing options with our infrastructure team.
Schedule a CallOr email us directly
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