GB300
USA
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GPUAAS.COM · WHOLESALE GPU NETWORK / A HOSTED·AI SERVICE ◆ CAPACITY AVAILABLE · 20+ PARTNERSQUOTES < 24HREV 2026.09
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GB300 NVL72 in the USA · deepest supply
◆ AVAILABLE

GB300
in the USA
, at
wholesale price.

GB300 NVL72 from vetted US partners, the deepest supply of any market, at
~30% less than hyperscale. Quotes in under 24 hours.

HGX GPU node
GPU generations
4
Architectures
Hopper + Blackwell
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

Yes. You can rent GB300 NVL72 capacity in the USA now through vetted partners, contracted directly with the operator running your rack. Global AI's Endicott, New York facility runs the largest GB300 NVL72 cluster in the state, actively deploying 7,000 GB300 GPUs as of March 2026, and the US carries the deepest GB300 supply of any market covered on this site. On GB300 price per hour, tracked on-demand rates span roughly $4.00 to $18.00 per GPU across a handful of providers as of September 2026, a wider band than established generations since fewer platforms publish a rate at all. GB300 NVL72 is a liquid-cooled rack pairing 72 Blackwell Ultra GPUs with 36 Grace CPUs in a single 130TB/s NVLink domain, each GPU carrying 288GB of HBM3e for 20TB of aggregate rack memory. Placement also puts data under US jurisdiction with US-person operational access, which FedRAMP-aligned and ITAR-adjacent workloads require. For smaller workloads, B300 and B200 in the USA remain the cheaper, more established options.

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◆ PRICING

What GB300 capacity costs in the USA

GB300 pricing here spans a wide band since few providers publish a rate at all. US operators have the longest runway on liquid-cooling infrastructure of any market, so reserved multi-year capacity here often prices more competitively than elsewhere once you have a real quote in hand.

Market reference ranges as of September 2026, quoted in USD, not US-specific quotes. Figures are global and directional given the thin, fast-moving GB300 provider set.
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, tracked providers
Cheapest tracked GB300 on-demand
$4.00
Approx. median, tracked providers
Directional given thin provider count
$9.50
Market high, specialist providers
Specialist providers, US placement
$16.00
Hyperscaler on-demand
What you pay without a broker
$18.00
◆ GPUaaS.com wholesale
Vetted partners · direct operator contract
quoted per enquiry
◆ GB300 RATES VARY WIDELY ACROSS A THIN PROVIDER SET
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Where US GB300 capacity earns its keep

The workloads US GB300 capacity is built for.

The US carries the deepest GB300 supply of any market covered here. Global AI's Endicott, New York facility alone is deploying 7,000 GB300 GPUs, and US operators had the earliest hyperscaler bring-ups from CoreWeave and others. Placement also puts data under US jurisdiction with US-person operational access, which FedRAMP-aligned and ITAR-adjacent workloads specifically require.

/01

Rack-scale coherent training

Train frontier models that need coherent memory across dozens of GPUs at once, on the deepest confirmed GB300 footprint anywhere, where the 130TB/s NVLink domain avoids the interconnect bottleneck that limits multi-node clusters of individual cards.
GB300 NVL72 · 72-GPU domain · 20TB HBM3e
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Trillion-parameter inference

Serve trillion-parameter reasoning models in production, where NVIDIA rates GB300 NVL72 at roughly 10x the tokens-per-second-per-user of Hopper-based platforms for test-time scaling workloads.
GB300 rental · NVFP4 · test-time scaling
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Long-context at rack scale

Run the longest-context reasoning chains without offloading KV cache anywhere, holding more context in-rack than any generation covered on this site, with FedRAMP-aligned and ITAR-adjacent handling where the workload requires it.
20TB aggregate · 288GB per GPU · FedRAMP
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Agentic workloads at scale

Serve high-concurrency, multi-agent workloads where token throughput per rack, not just per GPU, decides your cost per request, at NVIDIA's rated 5x improvement in throughput per watt over Hopper.
GB300 cluster · Dynamo · multi-agent
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◆ LIVE NETWORK · 12 LOCATIONS

Vetted GPU partners worldwide, including US GB300 capacity.

The US carries the deepest GB300 supply of any market covered here. Tell us node count, interconnect and placement, and you talk straight to the operator running your rack.

Read the full guide to GPU cloud in this location →
4
GPU GENERATIONS
20+
VETTED PARTNERS
12
PLACEMENT OPTIONS
24h
QUOTE TURNAROUND
USA CAN UK DEU FRA NLD UAE SAU IND SGP JPN AUS
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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 HGX nodes
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.

Ready to spec your cluster?
Get H100 cluster quotes
in under 24 hours.

Tell us the essentials. We'll line up real quotes from vetted wholesale providers . direct, no platform fee.

Quotes in under 24 hours
Direct contact with operators
No middle-man markup
20+ vetted providers · 10 regions
1
ESSENTIALS
2
OPTIONAL
Contact
Full Name *
Business Email *
Organization *
Location *
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.
Get the Best Deal
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
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◆ FAQ

Frequently Asked Questions

Q1
Can I rent GB300 NVL72 capacity in the USA?

Yes, and the US carries the deepest GB300 supply of any market. Global AI's Endicott, New York facility runs the largest GB300 NVL72 cluster in the state, actively deploying 7,000 GB300 GPUs as of March 2026. Tell us your requirement and we will confirm availability within 24 hours.

Q2
How much does GB300 cost per hour in the USA?

Tracked on-demand rates span roughly $4.00 to $18.00 per GPU as of September 2026, across a thin set of providers globally. Several major platforms quote GB300 only on request rather than publishing an hourly rate. Wholesale rates through GPUaaS.com are quoted per enquiry and vary by commitment term, configuration and rack allocation.

Q3
GB300 vs B300: what's different?

GB300 NVL72 is a rack-scale system, not a single GPU: 72 Blackwell Ultra GPUs and 36 Grace CPUs share a single 130TB/s NVLink domain with 20TB of aggregate HBM3e. Full GB300 specs put each GPU at 288GB of HBM3e; B300 is the same silicon sold as an individual GPU or GB300 server node. GB300 suits jobs that need coherent memory across many GPUs at once; B300 suits everything that fits on one card.

Q4
What compliance requirements can US GB300 placement satisfy?

Federal work needs FedRAMP-aligned hosting and US-person operational access, and defense-adjacent research needs ITAR-adjacent handling. A US datacenter alone does not satisfy these; operator identity determines who can access the data and under which law. Tell us the framework you report against and the quote will state operator incorporation and access controls.

Q5
How deep is GB300 supply in the US compared with other markets?

Deeper than any other market covered here. Global AI's Endicott facility alone is deploying 7,000 GB300 GPUs, and the US had the earliest hyperscaler bring-ups from CoreWeave and others. Tell us node count and the quote will state what's actually secured versus what needs a longer lead time.

Q6
What commitment terms are available for US GB300 capacity?

Both on-demand and reserved terms exist, though reserved capacity is where most volume sits given how concentrated GB300 deployment remains among operators who control their own power and cooling. Tell us your timeline and we will confirm which route fits.