RTX PRO 6000 GPU rental price

NVIDIA RTX PRO 6000 · 96 GB VRAM. Live per-GPU pricing aggregated across 7 providers and 7 regions.

The RTX PRO 6000 (96GB GDDR7 with ECC) currently rents from $0.590 per GPU per hour on Aquanode, across 7 providers.

$0.590/GPU/hr
Lowest / GPU / hr
$1.87/GPU/hr
Median / GPU / hr
$2.19/GPU/hr
p90 / GPU / hr
130
Live offers
Last updated: 2026-09-15 09:18:30 UTCRefreshes hourly0 offer(s) excluded from this snapshot

The cheapest RTX PRO 6000 offer right now (RunPod, $0.590/GPU/hr) is about 68% below the market median of $1.87/GPU/hr.

Provider
Region
$/GPU/hr
GPUs in node
VRAM
vCPU
RAM
RunPod
us-ne-1
$0.590
0
24 GB
2
8 GB
SimplePod
PL
$0.892
1
48 GB
24
94 GB
Vast.ai
California
$1.73
4
96 GB
32
189 GB
Nebius
us-central1
$1.80
1
96 GB
24
218 GB
Verda
Finland 2
$1.84
2
96 GB
30
90 GB
Akash
ZRH
$1.85
1
96 GB
506
258 GB
Massed Compute
us-east-4
$2.19
1
96 GB
16
144 GB

RTX PRO 6000 specs

NVIDIA
Vendor
96 GB
VRAM
PCIe 5.0 x16
Interface
7
Providers

RTX PRO 6000 full specs

ArchitectureNVIDIA, launched 2025
VRAM96GB GDDR7 with ECC
Memory bandwidth1,792 GB/s
TDP600W
Form factorPCIe, dual-slot

Specs sourced from the vendor's public datasheet. See the source.

What fits in 96GB GDDR7 with ECC of VRAM

ModelPrecisionFits?
Llama 3.1 70BFP16~140GB. Does not fit on one 96GB card; needs 2.
Llama 3.1 70BINT4~35-40GB. Fits comfortably with plenty of headroom.
Mixtral 8x22BINT4~70GB. Fits on a single card.
Llama 3 8BFP16~16GB. Fits easily.

Approximate, based on published parameter counts and standard bytes-per-parameter rules of thumb (FP16 ≈ 2 bytes/param, INT4 ≈ 0.5-0.6 bytes/param). Real footprint also depends on KV-cache size and framework overhead.

Good for

96GB of Blackwell-generation VRAM in a workstation card. The largest single-card capacity outside the data-center accelerators, enough to hold a 70B model in FP16 on one card without splitting across GPUs.

Not good for

No NVLink, so scaling past one card means falling back to slower PCIe-only communication, and at 600W it draws meaningfully more power than the older-generation workstation cards (A6000, L40S) it competes with.

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How this price is calculated

All prices on this page are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, so that raw price is divided by the number of GPUs it actually covers; Akash reports its price as already per-GPU, so it is used as-listed. An offer with a missing, zero, or invalid GPU count is excluded entirely rather than published at a guessed rate.

No offers were excluded from this snapshot for a missing or invalid price. No offers were dropped as price outliers in this snapshot.

Only the cheapest qualifying offer per provider is shown in the table above. This page regenerates at most once per hour.

Frequently asked questions

How much does it cost to rent a RTX PRO 6000?

Live RTX PRO 6000 rental prices currently range from $0.590 to $2.19 per GPU per hour across 7 providers, with a median of $1.87 per GPU per hour.

Which provider has the cheapest RTX PRO 6000?

RunPod currently offers the lowest RTX PRO 6000 rate on Aquanode's marketplace at $0.590 per GPU per hour in us-ne-1.

How is the RTX PRO 6000 price calculated?

All prices are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, which the raw price is divided by; Akash reports its price as already per-GPU. Offers whose price can't be safely normalized, or whose rate is an extreme outlier against the rest of the market, are excluded.

How much does an RTX PRO 6000 cost per hour?

Live RTX PRO 6000 rental rates on Aquanode currently range from $0.590 to $2.19 per GPU per hour, with a median of $1.87/hr. See the live table above for current per-provider pricing.

How much VRAM does an RTX PRO 6000 have?

The RTX PRO 6000 has 96GB GDDR7 with ECC, with 1,792 GB/s of peak memory bandwidth.

Is renting cheaper than buying?

Renting avoids the upfront hardware cost and lets you match spend to actual usage. A rented RTX PRO 6000 at $0.590/hr only costs money while it's running, whereas buying ties up capital in hardware that keeps depreciating whether it's in use or not. Which is cheaper depends on how continuously you'd run it; short or bursty workloads usually favor renting.

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