RTX PRO 5000-Ready Models
These popular AI models can run on the RTX PRO 5000. Actual requirements vary by model, engine, precision, and configuration.
Gemma 4 26B A4B IT
Gemma 4 26B A4B ITGemma 4 26B A4B MoE vision-language model by Google with 256K context and thinking mode
Mochi 1 Preview
Mochi 1 PreviewMochi 1 preview is an open state-of-the-art video generation model with high-fidelity motion and strong prompt adherence in preliminary evaluation.
Qwen Image (FP8)
Qwen Image (FP8)Foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing
RTX PRO 5000 GPU Details
| Category | RTX PRO 5000 |
|---|---|
| GPU Name | NVIDIA RTX PRO 5000 Blackwell |
| Architecture | NVIDIA Blackwell |
| CUDA Cores | 14,080 |
| Tensor Cores | 5th generation |
| RT Cores | 4th generation |
| Memory Size | 48 GB |
| Memory Type | GDDR7 with ECC |
| Memory Interface | 512-bit |
| Memory Bandwidth | 1,344 GB/s |
| System Interface | PCIe 5.0 x16 |
| Maximum Power | 300 W |
The exact RTX PRO 5000 on this page
Vast.ai catalogs this GPU as RTX PRO 5000: the desktop Blackwell card with 14,080 CUDA cores, 48GB of ECC GDDR7 memory, and a 300W maximum power rating. It is distinct from the 24GB RTX PRO 5000 laptop and embedded GPUs, NVIDIA's 72GB desktop capacity, and earlier RTX 5000 Ada, RTX A5000, and Quadro RTX 5000 products.
That identity matters when you choose an offer. Similar names can represent different memory capacities, power envelopes, and performance profiles. This page follows the current VAST GPU catalog; live price and availability continue to come from the pricing directory and are not hard-coded into the content.
Workloads that fit RTX PRO 5000
- AI development and inference: The 48GB ECC memory pool supports larger models, longer contexts, local agents, generative AI, and memory-heavy fine-tuning workflows.
- Data science and simulation: Blackwell CUDA and Tensor Cores suit accelerated analytics, engineering workloads, scientific visualization, and precision-sensitive simulation.
- Rendering and media: Fourth-generation RT Cores plus ninth-generation NVENC and sixth-generation NVDEC support neural rendering, complex 3D scenes, and high-resolution video pipelines.
Why rent it on Vast.ai
Renting lets you validate whether this capacity and feature set fit a project before committing to workstation hardware. Use the live market data above to compare offers, then review each host's verification, reliability, storage, networking, driver, and machine configuration. Those details determine whether an instance is suitable for a production workload.
Compare current GPU pricing or explore the Vast.ai GPU Cloud. Related choices include the 32GB RTX PRO 4500, the 96GB RTX PRO 6000 Workstation Edition, and the prior-generation RTX 5000 Ada.