GPU providers / Gpus.io Unclaimed Profile compiled by viabandwidth from public sources. The operator hasn’t claimed or reviewed it.
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Gpus.io is currently under verification. Profile data reflects publicly available information and is subject to change as operator verification completes.
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Best for: Buyers doing initial provider research. Not for: Procurement decisions that require a verified operator model.
Confidence: Low Evidence reviewed: 1 checks
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Verification in progress Operator classification and network checks are being reviewed. Profile reflects publicly available information.
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Frequently asked questions
Is Gpus.io a direct GPU operator or a reseller? Gpus.io is classified as a pending verification. Buyers doing initial provider research. Procurement decisions that require a verified operator model.
What GPU models does Gpus.io offer? Gpus.io lists A100, A40, B200 and 16 more across its published capacity.
How much does Gpus.io charge for GPU compute? Published indicative rates span Hourly rates at $1.00/hr. Final cluster pricing depends on commit length, storage and networking.
Is Gpus.io's viabandwidth listing verified? Not yet. This profile is compiled by viabandwidth from public sources. Gpus.io has not claimed it. OVERVIEW
Company overview Operator class
Pending verification
GPU models tracked
A100, A40, B200 and 16 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.
A100 QuoteClaim to publish
VRAM 80 GB Class SXM
Best for Mature training stacks that value known performance and broad tooling support.
B200 QuoteClaim to publish
VRAM 192 GB Class Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
GH200 QuoteClaim to publish
VRAM 96 GB Class Hopper
Best for Tightly-coupled training requiring NVLink bandwidth across GPU and CPU.
H100 QuoteClaim to publish
VRAM 80 GB Class 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.
VRAM 24 GB Class Ada
Best for Cost-efficient inference for smaller production models and API serving.
VRAM 48 GB Class 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.
VRAM 48 GB Class Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
RTXA5000 QuoteClaim to publish
VRAM 24 GB Class Ampere
Best for Fine-tuning smaller models and evaluation loops on a tight budget.
RTXA6000 QuoteClaim to publish
VRAM 48 GB Class 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.
Across 1 published SKUs spanning A100, A40, B200, B300.
List rates ≠ cluster price Ask for total cluster cost: networking, storage, support and exit terms aren't in the hourly headline.
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gpus.io
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