ComputeAssay
Prices on this page are from the 2026-09-10 survey. The registry was re-surveyed on 2026-10-26 (26 prices changed, 9 delisted, 79 confirmed) — current rows in the open data, what moved in the 2026-10-26 report.

GPU price check · updated 2026-09-10

GB200-NVL72 rental prices

GB200-NVL72 rents for $10.50–$27.04 per GPU-hour on demand across 3 sellers this week. The spread is not noise — it is mostly the network fabric, which determines what the chip can actually do.

$10.50
lowest on-demand
$16.00
median
3
Grade A/B offerings
1
undisclosed-fabric listings
$/GPU-hour, on demand · ● A/B fabric disclosed · C · D · U undisclosed CoreWeave $10.50 Oracle Cloud (OCI) $16.00 Microsoft Azure $27.04
GB200-NVL72 on-demand rental prices, 2026-09-10 · computeassay.com

Fair-price band (disclosed training-class, Grade A/B): $10.50–$16.00 per GPU-hour on demand. Below that band, ask what the seller is not telling you about the fabric; above it, you are paying for something the rate card should be able to name.

Committed pricing (3 published rates tracked): from $10.58 per GPU-hour (AWS, 1-182 day block). Most committed pricing is quote-gated — the published rates below are the exception, and their spread against on-demand is the basis the futures market can't see. All terms in the table.

Is a GB200-NVL72 quote a good deal? Read it in ten seconds

If you're quoted…What it usually meansDo
below $10.50Cheaper than any disclosed training-class listing — typically unstated or shared fabric, not the same good cheaper.Fine for batch/inference; for training, get the interconnect in writing first.
$10.50–$16.00Inside the fair band for disclosed training-class GB200-NVL72.Reasonable walk-up price — proceed, confirm the grade.
above $16.00A premium over the median.Worth it only if the fabric, SLA, and incident record beat the pack — verify, or negotiate down.

Check a specific quote against your workload, utilization, and committed alternatives on the deal check. Procurement guidance from published prices — not investment advice, and not a view on any futures contract.

What fits on GB200-NVL72 (192 GB)

ModelFP16FP8/INT84-bit
8B class (Llama 3.1 8B)1 GPU1 GPU1 GPU
32B class (Qwen 32B)1 GPU1 GPU1 GPU
70B class (Llama 3.3 70B)1 GPU1 GPU1 GPU
123B class (Mistral Large)2 GPUs1 GPU1 GPU
405B class (Llama 3.1 405B)6 GPUs3 GPUs2 GPUs
671B MoE class (DeepSeek-R1)9 GPUs (multi-node)5 GPUs3 GPUs

Method: VRAM ≈ parameters × bytes/parameter × 1.2 (20% headroom for KV cache and activations at ~8K context). Longer context or high concurrency needs more; training needs far more (optimizer states: ~4–8× weights). GPU counts assume even sharding. Above one 8-GPU node, the interconnect becomes the constraint — restrict to Grade A/B listings. Find the cheapest fit across all GPUs: Model Fit.

Every listing we track

ProviderSKU$/GPU-hrTermsGradeConfFabric (as published)Src
CoreWeaveNVIDIA GB200 NVL72 (gb200-4x)
North America, Europe
$10.50on-demand · min: docs state NVL72 must be deployed as full racks of 18 nodesBpubl400 Gb/s NDR InfiniBand, NVIDIA Quantum-2 fabric↗vendor
AWSu-p6e-gb200x72 (1-182 day block)$10.58capacity-block · min: 1-182 day blockUunknnot published↗vendor
Microsoft AzureStandard_ND128isr_NDR_GB200_v6 (3yr)$11.90reserved · min: 3yrApublInfiniBand NDR: 4x 400 Gb/s NVIDIA Quantum-2 CX7 InfiniBand connections per VM (one 400 Gb/s NIC per GPU); 28.8 Tb/s scale-out networking per 72-GPU rack (Microsoft Learn)↗API
Oracle Cloud (OCI)BM.GPU.GB200.4$16.00on-demand (PAY_AS_YOU_GO)Apubl'4x400 Gb/sec InfiniBand' = 1,600 Gbps per node (Oracle price-list shape table)↗API
Microsoft AzureStandard_ND128isr_NDR_GB200_v6 (1yr)$17.31reserved · min: 1yrApublInfiniBand NDR: 4x 400 Gb/s NVIDIA Quantum-2 CX7 InfiniBand connections per VM (one 400 Gb/s NIC per GPU); 28.8 Tb/s scale-out networking per 72-GPU rack (Microsoft Learn)↗API
Microsoft AzureStandard_ND128isr_NDR_GB200_v6
eastus, eastus2
$27.04on-demandApublInfiniBand NDR: 4x 400 Gb/s NVIDIA Quantum-2 CX7 InfiniBand connections per VM (one 400 Gb/s NIC per GPU); 28.8 Tb/s scale-out networking per 72-GPU rack (Microsoft Learn)↗API

Grades summarize deliverability from the seller's own published specs — methodology. Grades measure what sellers publish — deliverability of the written claim, not measured performance. No fleet holds a measured (Verified) badge yet; that tier arrives with the verification harness. A missing fabric field is recorded as unknown, never guessed. Weekly context in the Delivered Compute Report.

Source classes: API = provider's live pricing API · vendor = provider's published page · mkt API = marketplace API · 3rd-party = aggregator (provider publishes no price on its own pages) · quote = quote-gated or "starting at", not a walk-up price. Quote-class prices are shown in tables but excluded from headline ranges, spreads, and fair-price bands.

Method notes

Fair-price band = lowest to median price among Grade A/B on-demand listings — capacity whose published specs support training-class work. Marketplace listings (Vast.ai and similar) are pooled with on-demand in headline stats because both are walk-up prices; they carry confidence "mark" and usually cannot state their fabric. History: weekly snapshots begin September 2026; price-over-time charts appear as the series accumulates. Prices exclude storage, egress, and bundled vCPU/RAM differences — check the source link for the all-in picture before renting.

Prices move weekly. Get the report.

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