Gpus.io 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
A100, A40, B200 and 16 more
Services
GPU compute
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.
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.
GH200
QuoteClaim to publish
VRAM 96 GBClass Hopper
Best for Tightly-coupled training requiring NVLink bandwidth across GPU and CPU.
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.
B300
QuoteClaim to publish
Best for B300 workloads.
GB300
QuoteClaim to publish
Best for GB300 workloads.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
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.
RTXA5000
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Fine-tuning smaller models and evaluation loops on a tight budget.
RTXA6000
QuoteClaim to publish
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.
Hourly rates
$1.00/hr
Across 1 published SKUs spanning A100, A40, B200, B300.
07 / NEXT
Talk to Gpus.io
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gpus.io
Pricing pages, quote forms, and sales routes live on the provider’s own site.
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.