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Coreweave

IguanaNet, L.L.C. provides direct GPU cloud infrastructure through CoreWeave for AI training, inference and other accelerated workloads. Its listed hardware includes H100, H200, B200, A100, L40S, L40, A40, V100 and RTX A6000 with FedRAMP, ISO 27001 and SOC 2 coverage.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

Coreweave 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

Network ownership

Coreweave operates its own network (95k IPv4 addresses across 6 prefixes) rather than presenting another hyperscaler's capacity as its own.

Confirmed

Direct operator classification

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

REVIEWS

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FAQ

Frequently asked questions

Is Coreweave a direct GPU operator or a reseller?
Coreweave 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 Coreweave offer?
Coreweave lists H100, V100, H200 and 6 more across its published capacity.
How much does Coreweave charge for GPU compute?
Published indicative rates span Hourly rates at $0.57 – $68.80 /hr. Final cluster pricing depends on commit length, storage and networking.
Is Coreweave's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Coreweave has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
Operating entity
IguanaNet, L.L.C.
GPU models tracked
H100, V100, H200 and 6 more
Registered in
US
Services
GPU compute, Managed services, Bare metal and 1 more
Network footprint
6 prefixes / 95k 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.

H200

QuoteClaim to publish
VRAM 141 GBClass Hopper

Best for
Large-scale training where memory bandwidth decides the outcome.

B200

QuoteClaim to publish
VRAM 192 GBClass Blackwell

Best for
Frontier-scale training and teams optimizing around the newest platform.

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.

V100

QuoteClaim to publish

Best for
V100 workloads.

L40S

QuoteClaim to publish
VRAM 48 GBClass Ada

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

L40

QuoteClaim to publish
VRAM 48 GBClass Ada

Best for
Production serving for models that fit in 48 GB without SXM pricing.

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
$0.57 – $68.80 /hr

Across 21 published SKUs spanning H100, V100, H200, A40.

Reviewed Jun 4, 2026

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