---
title: "GPU Cloud | Optidata Cloud"
description: "On-demand GPU instances on NVIDIA RTX PRO 6000 Blackwell Server Edition. Full root access for training, fine-tuning, self-hosted inference, and HPC."
url: "https://www.optidata.com/products/gpu"
lang: "en"
updated_at: "2026-10-06"
---

# GPU Cloud

> Optidata GPU Cloud rents NVIDIA RTX PRO 6000 Blackwell Server Edition instances (96 GB GDDR7) with full root access in Miami (US1) for $2.40/hour or $1,752.00/month, including 16 vCPU, 64 GB RAM and 20 TB of outbound traffic. An H200 plan is listed as coming soon. Prices as of Oct 6, 2026, Miami (US1), USD.

**Rent the silicon. You own the runtime.** GPU instances with full root access on NVIDIA RTX PRO 6000 Blackwell Server Edition: 96 GB GDDR7, CUDA-ready images, same networking and billing primitives as Cloud Compute.

## What you get

- **Full root access:** SSH in as root. Install drivers, frameworks, and serving stacks your way.
- **96 GB GDDR7:** ECC memory on RTX PRO 6000 Blackwell Server Edition for large models and scenes.
- **CUDA-ready images:** GPU Linux images with CUDA, or a base OS if you bring your own stack.
- **MIG up to 4:** Partition one GPU into isolated instances with dedicated memory and compute.
- **Same stack as Compute:** VPC, security groups, public and private IP, and the same bill as the rest of the platform.
- **Per GPU-hour:** Hourly meter on the GPU host. Stop the instance, stop the charge.

## Key specs

- **Architecture:** Blackwell (NVIDIA RTX PRO 6000 Server Edition)
- **GPU memory:** 96 GB (GDDR7 with ECC)
- **Memory bandwidth:** 1,597 GB/s (512-bit memory interface)
- **MIG:** Up to 4 (Isolated GPU instances)

## Who it's for

- **Training & fine-tuning:** Custom training loops, experiment stacks, and frameworks you install yourself.
- **Self-hosted inference:** vLLM, TensorRT-LLM, or your own serving layer on Linux with CUDA.
- **HPC & visual compute:** Scientific simulation, 3D rendering, and visualization that needs real GPU memory.
- **Platform & agentic AI:** Agent runtimes, pipelines, and multi-tenant GPU pools under your control.

## How it works

1. **Select region:** Miami (US1) at launch. Pick the datacenter for the workload.
2. **Configure GPU instance:** GPU plan, CPU/RAM bundle, network, security group: hourly cost before you confirm.
3. **Select image:** GPU-ready Linux with CUDA, or a base OS if you bring the stack.
4. **Deploy:** Public and private IP. Manage it like any Cloud Compute instance.

## Frequently asked questions

### Which GPU is this?

NVIDIA RTX PRO 6000 Blackwell Server Edition: 96 GB GDDR7 ECC, up to four MIG instances, positioned for universal AI and visual computing in the data center.

### Do I get root access?

Yes. GPU Cloud gives you an instance with full root access. You SSH in, install what you need, and own the runtime.

### How is this different from managed inference?

GPU Cloud rents you the silicon with root. Managed inference products serve models for you. Use GPU Cloud when you need custom training, fine-tuning, or your own serving stack.

### Where can I see GPU prices?

Every GPU plan is on the public price list at optidata.com/pricing, per hour and per month. The console shows the same prices when you deploy, and the calculator estimates a full configuration.

### How much does an RTX PRO 6000 GPU instance cost?

$2.40/hour, or $1,752.00/month at 730 hours, including 16 vCPU, 64 GB RAM and 20 TB of outbound traffic. There is no separate VM charge. Prices as of Oct 6, 2026, Miami (US1), USD.

### Is the H200 available?

An H200 plan (24 vCPU, 240 GB RAM) is listed at $4.47/hour and marked as coming soon on the price list.


## Links

- HTML: https://www.optidata.com/products/gpu
- Price list: https://www.optidata.com/pricing (markdown: https://www.optidata.com/pricing.md)
- Console: https://console.optidata.com