gpu.fm provides direct GPU hardware sales, cloud rental and managed infrastructure for AI teams. Its listed portfolio includes B200, H200, H100, A100, L40S, MI300X, GB200 and other accelerators with SOC 2, ISO 27001, PCI DSS, HIPAA and FedRAMP coverage.
gpu 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
gpu controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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gpu 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 gpu offer?
gpu lists RTX4090, H200, MI350X and 17 more across its published capacity.
How much does gpu charge for GPU compute?
Published indicative rates span Hourly rates at $0.34 – $50.44 /hr, Monthly rates at $1,500 – $6,000 /mo. Final cluster pricing depends on commit length, storage and networking.
Is gpu's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. gpu has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
RTX4090, H200, MI350X and 17 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.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
MI350X
QuoteClaim to publish
Best for MI350X workloads.
RTX6000
QuoteClaim to publish
Best for RTX6000 workloads.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
RTXA6000
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for Development and fine-tuning with 48 GB of memory at workstation pricing.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.34 – $50.44 /hr
Monthly rates
$1,500 – $6,000 /mo
Across 53 published SKUs spanning RTX4090, H200, MI350X, RTX6000.
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.