hpc-ai.com provides direct B200, H200, GB200, H100, B300, A100, RTX 4090 and H20 GPU infrastructure for training, fine-tuning and inference. Its platform offers on-demand full-machine rentals, reserved clusters and managed AI services with per-minute billing.
☆ Shortlist
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hpc-ai 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: 8 checks
Confirmed
Direct operator classification
hpc-ai controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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hpc-ai 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 hpc-ai offer?
hpc-ai lists H20, A100, B300 and 5 more across its published capacity.
How much does hpc-ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.48 – $4.00 /hr. Final cluster pricing depends on commit length, storage and networking.
Is hpc-ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. hpc-ai has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
H20, A100, B300 and 5 more
Services
Colocation, GPU compute, Managed services and 1 more
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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
Inference
For predictable production serving, latency targets and steady utilisation.
H20
QuoteClaim to publish
Best for H20 workloads.
B300
QuoteClaim to publish
Best for B300 workloads.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.48 – $4.00 /hr
Across 17 published SKUs spanning H20, A100, B300, B200.
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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.