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Official date to be announced shortlyGPU offers available at launch; figures shown are indicative.

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NVIDIA RTX PRO 5000 Blackwell 72GB cloud GPU

RTX PRO 5000 Blackwell: 72 GB of GDDR7 memory per GPU, Blackwell architecture. Rent it by the hour on the EverXCloud spot exchange, at the live price set by sellers and buyers.

Best live price
No offer listed
GPU memory
72 GB GDDR7
Bandwidth
1,344 GB/s
Architecture
Blackwell
Max power
300 W

RTX PRO 5000 Blackwell on the spot exchange

No offer is listed for this model right now.

Estimate VRAMEstimate cost

No RTX PRO 5000 Blackwell product is listed on the spot exchange right now. Tell us the quantity and the dates you need: we look for this capacity across the EverXCloud Network.

Request this capacity

RTX PRO 5000 Blackwell specifications

RTX PRO 5000 Blackwell specifications, per GPU
GPU memory72 GB
Memory typeGDDR7
Memory bandwidth1,344 GB/s
Max power300 W
ArchitectureBlackwell
InterconnectPCIe 5.0

Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.

Recommended uses

  • Fine-tuning

    Parameter-efficient fine-tuning (LoRA, QLoRA) of open models that fit in memory with 4-bit quantization.

  • LLM inference

    Language models up to about 25 billion parameters in 16-bit precision, or about 95 billion with 4-bit quantization.

  • Image generation

    Image and video diffusion models; larger models and higher resolutions need more GPU memory.

  • 3D rendering

    Ray-traced rendering, visual effects and simulation, with dedicated ray-tracing cores.

Cautious estimates for this product (72 GB of GPU memory in total), counting 80% of memory for model weights. Real limits depend on context length, batch size and framework.

Workloads for the RTX PRO 5000 Blackwell

GPUs similar to the RTX PRO 5000 Blackwell

GPUs similar to the RTX PRO 5000 Blackwell: memory, architecture and best live price per GPU-hour excluding tax
GPUFrom/h
RTX PRO 6000 Blackwell96 GB GDDR7 · Blackwell$1.69
RTX PRO 6000 Blackwell Max-Q96 GB GDDR7 · Blackwell$0.88
RTX 6000 Ada48 GB GDDR6 · Ada Lovelace$0.74
RTX 5880 Ada48 GB GDDR6 · Ada Lovelace$0.72
RTX A600048 GB GDDR6 · Ampere$0.33
Quadro RTX 800048 GB GDDR6 · Turing$0.30
All GPU models

RTX PRO 5000 Blackwell: frequently asked questions

How much does it cost to rent the RTX PRO 5000 Blackwell?

No offer is listed right now. Request this capacity and we look for it across the EverXCloud Network; in the portal, you can also place a request at the price you are willing to pay.

How much memory does RTX PRO 5000 Blackwell have?

72 GB of GDDR7 memory per GPU. Memory bandwidth is 1,344 GB/s.

Which AI models can I run on RTX PRO 5000 Blackwell?

As a cautious estimate, this product (72 GB of GPU memory in total) runs language models up to about 25 billion parameters in 16-bit precision, or about 95 billion with 4-bit quantization. Context length, batch size and framework change the real limit.

Can I rent several RTX PRO 5000 Blackwell GPUs together?

Servers with several GPUs are listed as separate products on the spot exchange when sellers offer them, for example 2, 4 or 8 GPUs. For a larger quantity or fixed dates, request this capacity.

How is RTX PRO 5000 Blackwell rental billed?

By the hour. You buy rental hours on the spot exchange, up to 720 hours per order, and pay them from your prepaid balance. Prices are shown excluding tax, and EverXCloud is the merchant of record for every rental.

Which currencies and payment methods can I use?

Euros, US dollars or pounds, each with its own balance, never converted. Top up by card; SEPA bank transfer may be offered to business accounts on request. A receipt is issued for every top-up and an invoice, with VAT or sales tax where it applies, for every rental.

Is buying GPU hours on the spot exchange a financial product?

No. You buy hours of GPU rental to use them: no derivatives, no leverage, no transferable credits.

Check the workload, complete configuration and billing conditions before choosing a live offer.

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