White & Case provides direct B200, B300, H100, H200 and L4 GPU cloud infrastructure through QumulusAI. Its services support enterprise, research and startup workloads with Tier III facility coverage.
Qumulusai is a direct operator with a broad GPU lineup spanning current-generation NVIDIA capacity. Running its own network, it suits teams moving from experimentation into sustained production or those that need range across training, inference and fine-tuning without managing separate provider accounts.
The tradeoff: procurement is configuration-dependent and may require a quote process rather than instant checkout. Best fit for buyers with a clear workload plan.
Best for: Buyers who want a direct relationship with the operator that owns the metal. Not for: Teams prioritising a marketplace's breadth of third-party supply.
Confidence: HighEvidence reviewed: 6 checks
Confirmed
Network ownership
Qumulusai operates its own network (2k IPv4 addresses across 8 prefixes) rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Qumulusai controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Qumulusai is classified as a direct operator. Buyers who want a direct relationship with the operator that owns the metal. Teams prioritising a marketplace's breadth of third-party supply.
What GPU models does Qumulusai offer?
Qumulusai lists B200, B300, H100 and 2 more across its published capacity.
How much does Qumulusai charge for GPU compute?
Qumulusai does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is Qumulusai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Qumulusai has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
White & Case
GPU models tracked
B200, B300, H100 and 2 more
Registered in
US
Services
GPU compute, Bare metal
Network footprint
8 prefixes / 2k IPv4
CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Training
For multi-node runs where interconnect and cluster availability decide the outcome.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
Inference
For predictable production serving, latency targets and steady utilisation.
B300
QuoteClaim to publish
Best for B300 workloads.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit Qumulusai’s site for a quote.
COMPARE
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Profile pages, buyer guides and model explainers stay open. Vendor packages cover what shows on this profile. Verification stays independent and is never for sale.