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Workstation · Blackwell · launched 2025 · prices checked 2026-09-03

Rent NVIDIA RTX PRO 5000 — 32 GB, $0.467/hr on-demand

  • VRAM 32 GBGDDR7
  • FP16 tensor 280TFLOPS
  • PowerScore 197RTX 3090 = 100
  • Configs 1–8×PCIe 5.0
  • Online now 44 6 regions

Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-09-10.

NVIDIA RTX PRO 5000 32 GB cloud GPU for rent

Workstation · Blackwell architecture

The RTX PRO 5000 Blackwell is the mid-range professional card: Blackwell tensor cores, ECC GDDR7 and a 300 W envelope. A sensible rental for inference of 14B–32B models, batch image generation and viewport-heavy rendering that does not need the 96 GB flagship.

Workstation silicon with ECC memory and studio-certified drivers. Renderers (Blender, Octane, Redshift), CAD and simulation get the large VRAM they want without paying datacenter-flagship rates — and per-second billing suits render queues perfectly.

NVIDIA RTX PRO 5000 specs: VRAM, TFLOPS, bandwidth

GPU modelNVIDIA RTX PRO 5000 ArchitectureBlackwell (2025)
VRAM32 GB GDDR7 Memory bandwidth1,344 GB/s
FP16 tensor perf.280 TFLOPS FP32 perf.74.0 TFLOPS
CUDA cores14,080 TDP300 W
PowerScore (RTX 3090 = 100)197 PCIe generationGen 5.0
Multi-GPU1× – 8× Max instance storage8,000 GB NVMe
Network up to10,000 Mbps CUDA12.4 – 13.0

Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.

RTX PRO 5000 price per hour: on-demand, interruptible, reserved

One public rule sets every price on this page: the marketplace median for the RTX PRO 5000 ($0.67/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.467, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.

ModePer GPU-hour Per day (24 h)Per month (730 h)What you get
On-demand$0.467 $11.21$341 Guaranteed capacity, price locked at deploy, stop anytime
Interruptible$0.233 $5.59$170 Flat −50%; may pause under capacity pressure, disk kept, auto-requeue
Reserved (3 months)$0.303 $7.27$221 −35% on on-demand, rate locked for the term, capacity held

Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.

What you can run on a RTX PRO 5000 (32 GB VRAM)

With 32 GB of GDDR7, a single card holds a ~13B-parameter LLM in FP16 or up to ~49B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.467.

RTX PRO 5000 availability by region

44 × RTX PRO 5000 across 8 machines, live from inventory:

  • GB London
  • US Los Angeles, CA
  • FI Helsinki
  • SG Singapore
  • CA Montréal
  • JP Tokyo

RTX PRO 5000 vs alternatives: price per TFLOP

GPUVRAMFP16 On-demand$ / TFLOP-hr
RTX PRO 5000 this card 32 GB280 $0.467 $1.67‰
RTX 6000Ada 48 GB364 $0.513 $1.41‰
RTX 5880Ada 48 GB340 $0.290 $0.85‰
RTX A6000 48 GB155 $0.281 $1.81‰
RTX 5000Ada 32 GB190 $0.262 $1.38‰

‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.

Renting a RTX PRO 5000: frequently asked questions

How much does it cost to rent an NVIDIA RTX PRO 5000 per hour?

$0.467 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.67. Interruptible capacity costs $0.233/hr and a 3-month reservation $0.303/hr. Around $341/month if you keep one running non-stop, billed per second.

What can a RTX PRO 5000 with 32 GB VRAM run?

In LLM terms, roughly a 13B-parameter model in FP16 or up to ~49B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.

Is the RTX PRO 5000 available to rent right now?

Yes — 44 GPUs across 8 machines in 6 regions are listed as we render this page. Configurations go from 1× to 8×. Deploy from the console and it is running in about 30 seconds.

How do I deploy a RTX PRO 5000?

Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX PRO 5000, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu rtx-pro-5000 --template pytorch.

Why is the RTX PRO 5000 cheaper here than on GPU marketplaces?

We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-10) and published — no auctions, no per-host roulette, no bidding.

Deploy your first GPU in under a minute

Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.