B200
UK
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GPUAAS.COM · WHOLESALE GPU NETWORK / A HOSTED·AI SERVICE ◆ CAPACITY AVAILABLE · 20+ PARTNERSQUOTES < 24HREV 2026.09
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◆
B200 SXM for LLM inference
◆ AVAILABLE

B200
for LLM inference
, at
wholesale price.

B200 SXM rental from vetted partners, sized for FP4 inference and the largest models, at
~30% less than hyperscale. Quotes in under 24 hours.

HGX GPU node
GPU generations
8
Architectures
Hopper + Blackwell + Vera Rubin
Vetted partners
20+
Quote turnaround
24 hrs
Commitment
Short / long
QUOTES IN UNDER 24 HOURS VETTED PARTNERS WORLDWIDE SHORT OR LONG TERM COMMITMENT DIRECT OPERATOR CONTRACTS CAPACITY AVAILABLE NOW PLACEMENT YOU SPECIFY
◆ THE SHORT ANSWER

B200 is a genuine architecture change from H100 and H200, not just a memory bump: it's Blackwell rather than Hopper, and its headline capability for inference is native FP4 precision, a 4-bit floating point format neither Hopper-generation card supports. Real-world benchmarks put B200 at roughly 2.5x H100's inference throughput at comparable precision, and 192GB of HBM3e gives even more headroom than H200's 141GB for large models and long context. The tradeoff is real: B200 draws roughly 1,000 watts per GPU against H100 and H200's 700W, which means liquid cooling rather than air, and in several markets B200 supply is genuinely thinner than the established Hopper-generation footprint. Full NVIDIA B200 specs and server configuration options are available on request. H200 and H100 for LLM inference remain the more available, established options for most workloads today, and B300 extends B200's memory ceiling further still for the largest frontier models.

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PRICING

What B200 inference actually costs

B200 median on-demand rate runs $6.01/hr across 17 tracked providers, ranging from $3.75 at the low end to $10.41 for specialist guaranteed-capacity providers. NVIDIA B200 pricing through GPUaaS.com is quoted per enquiry and varies by commitment term, configuration and placement; full NVIDIA B200 specs are available on request.

Market reference as of September 2026, quoted in USD. Real throughput depends on model, quantization (FP4 vs FP8), context length and serving engine, so cost per token is the number to calculate, not the hourly rate alone.
Wholesale rates through GPUaaS.com are quoted per enquiry and vary by commitment term, configuration and placement.

$0$2.50$5$7.50$10$12.50$15/GPU-HR
Market low, 17 providers tracked
Cheapest tracked B200 SXM on-demand
$3.75
Median on-demand B200 SXM
Median across 17 tracked providers
$6.01
Market high, specialist providers
Premium providers, guaranteed capacity
$10.41
Hyperscaler on-demand
What you pay without a broker
$16.11
◆ GPUaaS.com wholesale
Vetted partners · direct operator contract
quoted per enquiry
B200 MARKET RATES, AUGUST 2026
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◆
Where B200 earns its keep in inference

What B200 serves well, and what to watch for.

B200 is built on Blackwell rather than Hopper, and the most consequential change for inference is native FP4 precision: a 4-bit floating point format that roughly doubles achievable throughput again over FP8 for models and serving engines built to use it, on top of Blackwell's raw compute advantage over Hopper. Combined, this puts B200 at roughly 2.5x H100's inference throughput at comparable precision. The 192GB of HBM3e, more than H200's 141GB, extends how large a model or how long a context can run on a single card even further than H200 already does. None of this comes free: B200 draws roughly 1,000 watts per GPU against H100 and H200's 700W, requiring liquid cooling rather than air, and that facility requirement is part of why B200 supply genuinely trails H100 and H200 in several markets today as operators retrofit for the higher draw.

/01

FP4 precision inference

Native FP4 precision, unavailable on H100 or H200, roughly doubles achievable throughput again over FP8 for models and engines built to use it.
FP4 · native · 2x over FP8
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More memory than any Hopper card

192GB of HBM3e, more than H200's 141GB, gives extra headroom for the largest models and longest contexts without splitting across cards.
192GB · HBM3e · largest models
/03

Highest raw throughput available

Roughly 2.5x H100's inference throughput at comparable precision makes B200 the practical choice for the highest-volume serving workloads.
2.5x · throughput · high-volume
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Real power and supply tradeoffs

The 1,000W draw needs liquid cooling, and supply is genuinely thinner than H100 or H200 in several markets as facilities retrofit.
1,000W · liquid cooling · supply
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◆ LIVE NETWORK · 12 LOCATIONS

B200 capacity worldwide, in the location you need.

B200 inference is placement-sensitive: prompts and responses are often personal data, so jurisdiction matters as much as latency, and B200's power draw makes confirming real in-country supply worth checking. See B200 availability by country below.

Read the full guide to GPU cloud in this location →
8
GPU GENERATIONS
20+
VETTED PARTNERS
12
PLACEMENT OPTIONS
24h
QUOTE TURNAROUND
◆ USA◆ CAN◆ UK◆ DEU◆ FRA◆ NLD◆ UAE◆ SAU◆ IND◆ SGP◆ JPN◆ AUS

Every location links to its own page. Click through for local pricing and specs.

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◆ COST COMPARISON

See how much you save at scale

Wholesale rates against cloud list price for a 64-GPU cluster.

CLUSTER SIZE
8 GPU Servers
64 × GPUS · 730 HRS/MO
ASSUMPTIONS · BLENDED $6.00/GPU-HR · INDICATIVE ONLY
SOURCEEST. MONTHLYVS GPUAAS
Retail cloud
On-demand list price · reserved discounts require lock-in
~$280k
+$84k
Direct datacentre negotiation
Long-term commitment · slow procurement cycle
~$230k
+$34k
◆ BEST VALUE
GPUaaS.com wholesale
Vetted partners · direct operator contract · quotes in 24 hours
~$196k
SAVE ~$84k/MO
Need single-GPU compute? packet.ai has you covered.
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◆ HOW IT WORKS

A matchmaker, not a marketplace.

We connect you to our vetted partners. You contract directly with the operator running your nodes.

STEP 01/4
01

Tell us the requirement

GPU model, count, placement and timeline. Add workload detail if you have it.

STEP 02/4
02

We match capacity

We find vetted partners with capacity that fits, in the jurisdiction you need.

STEP 03/4
03

Quotes in 24 hours

Real quotes from partners who hold the capacity, not listings that may not exist.

STEP 04/4
04

Contract and provision

You contract directly with the operator. We smooth the provisioning process.

Get a quote
Request wholesale rates
in under 24 hours.

Tell us the essentials. We'll line up real quotes from our vetted wholesale partners, and you contract directly with the operator.

◆Quotes in under 24 hours
◆Direct contact with operators
◆Vetted partners, matched to your requirement
◆20+ vetted providers · 12 locations
1
ESSENTIALS
2
OPTIONAL
Contact
Full Name *
Business Email *
Organization *
Preferred Location *
Your Region *
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
GPU Requirements
GPU Model *
PRE-SELECTED
Number of GPUs *
Individual GPU count. 1 node = 8 GPUs.
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◆ FAQ

Frequently Asked Questions

Q1
Is B200 worth it over H100 or H200 for inference?

B200 is worth it specifically when FP4 precision or 192GB of memory changes what's possible for your model, since raw inference throughput runs roughly 2.5x H100's at comparable precision. For workloads that run well on H100 or H200 already, the higher rate and thinner supply make B200 a harder case to justify today.

Q2
What is FP4 precision and why does it matter for B200?

FP4 is a 4-bit floating point format native to Blackwell that neither H100 nor H200 supports natively. It roughly doubles achievable throughput again over FP8 for models and serving engines built to use it, though not every model or engine has FP4 support yet.

Q3
Why does B200 need more power than H100 or H200?

B200 draws roughly 1,000 watts per GPU against H100 and H200's 700W, which requires liquid cooling rather than air-cooled racks. This is a genuine facility requirement, not a footnote, and it's part of why B200 supply is thinner than H100 or H200 in several markets as facilities retrofit for it.

Q4
Is B200 harder to find than H100 or H200?

In several markets, yes, particularly where facilities are still retrofitting for the higher power draw and liquid cooling B200 needs. H100 and H200 have had significantly longer to reach deep, established supply; B200 access is real but should be confirmed rather than assumed.

Q5
Do standard serving engines support B200's FP4 precision?

vLLM, SGLang and TensorRT-LLM all support B200, though full FP4 support varies by engine and is still maturing. Confirm your specific engine's FP4 support before assuming you'll get the full throughput benefit over FP8.

Q6
What's the real NVIDIA B200 rental rate compared to H100 or H200?

B200 median on-demand rate runs $6.01/hr, a real premium over H100's $3.33/hr and H200's $4.40/hr median. B200 rental pricing through GPUaaS.com is quoted per enquiry and varies by commitment term, configuration and placement.