GPU Computeby viabandwidthHome
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Pending verificationaime.info

AIME

Call us or send us an email if you have any questions. We would be glad to assist you to find the best suitable compute solution.

01 / ANALYST READ

Our read

AIME is currently under verification. Profile data reflects publicly available information and is subject to change as operator verification completes.

Check back once verification is complete for a more detailed read.

Confidence: LowEvidence reviewed: 1 checks
02 / OVERVIEW

Company overview

Operator class
Pending verification
GPU models tracked
RTX4090, H200, RTX6000 and 9 more
Services
Colocation, GPU compute, Managed services and 1 more
03 / 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

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VRAM 141 GBClass Hopper

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

A100

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VRAM 80 GBClass SXM

Best for
Mature training stacks that value known performance and broad tooling support.

B200

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VRAM 192 GBClass Blackwell

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

H100

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VRAM 80 GBClass SXM

Best for
Serious model training where time-to-result outweighs hourly cost.

Inference

For predictable production serving, latency targets, and steady utilisation.

RTX4090

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Best for
RTX4090 workloads.

RTX6000

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Best for
RTX6000 workloads.

B300

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Best for
B300 workloads.

RTX3090

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Best for
RTX3090 workloads.

Fine-tuning

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

A40

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VRAM 48 GBClass Ampere

Best for
LoRA fine-tuning, evaluation, and teams watching spend closely.

RTXA6000

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VRAM 48 GBClass Ampere

Best for
Development and fine-tuning with 48 GB of memory at workstation pricing.

04 / TRUST

Verification

Evidence that there's a real operator behind the offer.
Indicator

Verification in progress

Operator classification and network checks are being reviewed. Profile reflects publicly available information.

05 / COMMERCIALS

Pricing

Indicative published rates. Final cluster pricing depends on commit length, storage, networking, and capacity.

No published rates tracked. Visit AIME’s site for a quote.

07 / NEXT

Talk to AIME

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aime.info
Pricing pages, quote forms, and sales routes live on the provider’s own site.
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