aime.info provides direct GPU cloud instances, dedicated HPC servers, hosted hardware and custom AI clusters from Frankfurt. Its listed systems include H200, H100, A100, L40S, RTX 4090, RTX A6000, V100 and other workstation or server-class GPUs.
aime 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
aime controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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aime 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 aime offer?
aime lists RTX4090, H200, RTX6000 and 9 more across its published capacity.
How much does aime charge for GPU compute?
aime does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is aime's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. aime has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
RTX4090, H200, RTX6000 and 9 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.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides 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.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
RTX6000
QuoteClaim to publish
Best for RTX6000 workloads.
B300
QuoteClaim to publish
Best for B300 workloads.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
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.
Pricing on request. Visit aime’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.