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1legion

1legion.com provides direct bare-metal GPU servers and clustered infrastructure for AI, machine learning and graphics workloads. Its listed hardware includes H200, H100, B300, B200, A100, L40S, RTX 4090 and RTX A6000 systems.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

1legion 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

1legion controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.

REVIEWS

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FAQ

Frequently asked questions

Is 1legion a direct GPU operator or a reseller?
1legion 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 1legion offer?
1legion lists RTX5090, A100, B300 and 6 more across its published capacity.
How much does 1legion charge for GPU compute?
Published indicative rates span Hourly rates at $0.39 – $0.72 /hr. Final cluster pricing depends on commit length, storage and networking.
Is 1legion's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. 1legion has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
GPU models tracked
RTX5090, A100, B300 and 6 more
Services
GPU compute, Bare metal
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.

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.

RTX5090

QuoteClaim to publish

Best for
RTX5090 workloads.

B300

QuoteClaim to publish

Best for
B300 workloads.

L40S

QuoteClaim to publish
VRAM 48 GBClass Ada

Best for
Cost-effective production inference and image generation at scale.

RTX4090

QuoteClaim to publish

Best for
RTX4090 workloads.

Fine-tuning

For smaller adaptation jobs, evaluation loops and budget-controlled development.

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
$0.39 – $0.72 /hr

Across 7 published SKUs spanning RTX5090, A100, B300, L40S.

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