enix.io resells H100, A100 and L4 GPU infrastructure alongside managed cloud, Kubernetes, DevOps and bandwidth services. Its platform supports on-premises and public cloud deployments with ISO 27001-certified operations.
enix.io sources GPU capacity from Site mentions AWS infrastructure and resells it with a managed layer on top. This model can simplify the buying process for teams that prefer not to deal with the underlying provider directly.
There is a margin built in and transparency over where the hardware runs is limited. Compare against the underlying provider before committing at scale.
Best for: Teams that value managed sourcing over dealing with the underlying operator directly. Not for: Buyers who require direct-to-metal accountability from the infrastructure owner.
Confidence: MediumEvidence reviewed: 3 checks
Indicator
Reseller classification
enix.io sources capacity from Site mentions AWS infrastructure and resells access with a managed layer.
Indicator
Provenance
Infrastructure is not independently operated. Buyers requiring direct-operator guarantees should compare against the source provider.
REVIEWS
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enix.io is classified as a reseller. Teams that value managed sourcing over dealing with the underlying operator directly. Buyers who require direct-to-metal accountability from the infrastructure owner.
What GPU models does enix.io offer?
enix.io lists H100, A100, L4 across its published capacity.
How much does enix.io charge for GPU compute?
enix.io does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is enix.io's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. enix.io has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
Operating entity
ENIX-AS
GPU models tracked
H100, A100, L4
Registered in
FR
Services
GPU compute, Bare metal, Managed services and 1 more
Network footprint
6 prefixes / 5k 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.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
Inference
For predictable production serving, latency targets and steady utilisation.
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 enix.io’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.