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8 providers · per GPU-hour

NVIDIA B200 cloud pricing

8 offers from 8 providers, 7 with a published on-demand price. Per GPU-hour, US$. Prices checked 28 Sept 2026.
Lowest on-demand
$5.04/GPU-hr
Lowest spot
$3.95/GPU-hr
Memory
180 GB HBM3e
Spec sheet: B200 ↗
GPU cloud offers sorted by on-demand price per GPU-hour, USD
#ProviderOfferOn-demandSpotCommittedAs published (original currency) · sourceActions
1UpCloud
B200 x1
1× B200 · 12 vCPU · 240 GB RAM
$5.04/GPU-hr——
EUR 4.5/hr + tax
global list
2Hyperstack
B200 x1
1× B200
$6.00/GPU-hr——
USD 6/hr per GPU
CANADA-1
3Verda (formerly DataCrunch)
B200 x1
1× B200
$6.29/GPU-hr——
USD 6.29/hr per GPU
not stated
4E2E Networks
B200 x1
1× B200 · 32 vCPU · 400 GB RAM
$6.99/GPU-hr——
USD 6.99/hr per GPU + tax
India
5Nebius
B200 x1
1× B200
$7.15/GPU-hr$3.95/GPU-hr—
USD 7.15/hr per GPU
global
6CoreWeave
NVIDIA HGX B200 (8x)
8× B200 · 128 vCPU · 2048 GB RAM
$8.60/GPU-hr$4.26/GPU-hr—
USD 68.8/hr
North America
7Oracle Cloud Infrastructure
B200 x1
1× B200
$14.00/GPU-hr——
USD 14/hr per GPU + tax
global list
8Vultr
B200 x8
8× B200
Contact for pricing—
$1.99/GPU-hr
Committed (4-yr)
USD 1.99/hr per GPU + tax
global

What is the B200 used for?

The B200 is a data-centre GPU positioned by its maker for large-scale model training, built on the Blackwell architecture and released in 2024. Multi-GPU servers link cards over NVLink 5th gen (1.8 TB/s per GPU), which matters when a job is split across several GPUs.

How large a model fits on one B200?

With 180 GB of memory, one card holds the weights of a model up to about 90 billion parameters at 16-bit precision, or about 180 billion at 8-bit. That is weights only: inference also needs room for the KV cache, and training needs several times more for gradients and optimiser state, so larger jobs are split across multiple GPUs.

Spec (as published)B200
ArchitectureBlackwell
Form factorSXM (HGX/DGX B200)
Memory180 GB HBM3e
InterconnectNVLink 5th gen (1.8 TB/s per GPU)
Precisions listedFP4, FP8
Released2024
Sourcemaker spec sheet ↗

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