flex.ai provides direct B200, H200, H100, L40, MI300X, A100, L40S and MI300A GPU infrastructure through a managed AI platform. Its services include training, fine-tuning and inference with SOC 2 and HIPAA coverage.
flex.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
flex.ai controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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flex.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 flex.ai offer?
flex.ai lists A100, L40, L40S and 5 more across its published capacity.
How much does flex.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.12 – $16.80 /hr, Monthly rates at $373 – $46,080 /mo. Final cluster pricing depends on commit length, storage and networking.
Is flex.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. flex.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
A100, L40, L40S 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.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
MI300A
QuoteClaim to publish
VRAM 128 GBClass AMD
Best for Mixed training and inference for teams open to AMD hardware.
Inference
For predictable production serving, latency targets and steady utilisation.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM pricing.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.12 – $16.80 /hr
Monthly rates
$373 – $46,080 /mo
Across 32 published SKUs spanning A100, L40, L40S, MI300X.
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.