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Rent an RTX PRO 6000 Blackwell Server Edition

NVIDIA RTX PRO 6000 Blackwell Server Edition

Specifications

VRAM95 GB
Price per hour
$2.00
Cost estimate
per hour$2.00
per day$48.00
per week$336.00
per month$1440.00

Renting a RTX PRO 6000 Blackwell Server Edition

RTX PRO 6000 Blackwell: what 96 GB on one card does

The RTX PRO 6000 Blackwell Server Edition puts 96 GB of GDDR7 on a single card. The usual way to get that much memory is to split a model across several smaller cards, and the split has a cost: every token crosses the link between them. One card pays none of it.

We benchmarked it against a pair of RTX 4090s with the same model, the same vLLM version and the same arguments. On a single request the two are within 12% of each other. Under load, and on long prompts, they are not close.

On ParalonCloud a machine is rented whole and billed by the minute, with Jupyter Lab in the browser and no contract. This card is rare on the network; the top of this page shows whether one is free right now, and the list price when none is.

See which GPUs are available now

What fits

What fits in 96 GB

With a 27B model at 4-bit loaded, almost all of the card is left for context. That changes what the model can be asked to do.

Context cache with Qwen3.8-27B (W4A16) loaded
65.3 GiB, which is 1,843,794 tokens.
VRAM guide for Qwen3.8-27B
Requests at the model's full 262k context, at the same time
Seven. A single 24 GB card serves the same model at 32k.
VRAM guide for Qwen3.8-27B
Compared with two RTX 4090s, model split across both
476,993 tokens of cache on the pair, run at a 131k context.
VRAM guide for Qwen3.8-27B

Measured

Measured: RTX PRO 6000 against two RTX 4090s

Qwen3.8-27B W4A16 on vLLM 0.27.1, same arguments on both machines. Two runs at each point agreed within 4%.

Throughput at 1 / 8 / 32 concurrent requests
106 / 636 / 1,342 tok/s
RTX PRO 6000 vs 2x RTX 4090
Two RTX 4090s at the same points
94 / 381 / 435 tok/s
RTX PRO 6000 vs 2x RTX 4090
Per request at 32 concurrent
45 tok/s, against 17 on the pair
RTX PRO 6000 vs 2x RTX 4090
Time to first token, prompt of about 22,000 to 25,000 tokens
5.0 s, against 12.4 s on the pair
RTX PRO 6000 vs 2x RTX 4090
Time to first token, 130,217-token prompt
Time to first token, 256,361-token prompt
99.3 s. Beyond the window of the two-card setup.
RTX PRO 6000 vs 2x RTX 4090
A 200,000-token prompt already in the cache

Steps

How to rent one

  1. 01

    Check availability

    The top of this page says whether a machine with this card is free. If none is, the rent page lists what is, including pairs of RTX 4090s.

  2. 02

    Start the rental

    Choose Jupyter Lab, accept the terms and start. You need credits for one hour to open a session and are charged only for the minutes you use.

  3. 03

    Work, then stop

    Use the terminal for pip, conda or apt, run your job, download what you want to keep, and stop.

Limits

Know before you rent

  • This card is rare on the network and is often not available. The price shown when none is free is the list price, not an offer.
  • A rental is an unprivileged container: Docker inside it does not work. Install what you need with pip, conda or apt.
  • Access is through Jupyter Lab and its terminal. Other ports are not exposed to the internet.
  • Everything on the machine is wiped when the rental ends. Download results before you stop.

FAQ

Questions about the RTX PRO 6000 Blackwell Server Edition

Is one RTX PRO 6000 faster than two RTX 4090s?

On a single request, barely: 106 against 94 tokens per second on a 27B model. At 32 concurrent requests it delivered 1,342 against 435, about three times as much, because nothing has to cross between cards. On long prompts it prefills about three times as fast.

How long a prompt can it take?

With a 27B model at 4-bit loaded, the card holds 1,843,794 tokens of context cache, enough for seven requests at the model's full 262,144-token context at once. A 256,361-token prompt took 99.3 seconds to its first token.

When is the big card worth its price?

When you serve many users at once, or when prompts run past what a 24 GB or 32 GB card can hold. For one user and short prompts a single RTX 4090 or RTX 5090 costs much less for almost the same speed per request.

Is it available to rent right now?

The badge at the top of this page says so, from the live network. Machines with this card come and go; when none is free the page shows the list price and the rent page shows what is available instead.

How do I know the card is real?

Before a machine is listed, a verification job allocates its memory and measures memory bandwidth and compute against the card's specification. The result, and when it was last checked, is on the machine's page.

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