Cyfuture AI provides direct GPU clusters, inference, fine-tuning and managed AI services. Its listed hardware spans H200, H100, A100, L40S, MI300X, B300, B200, GB300 and other accelerators with SOC 1, SOC 2, ISO 27001, PCI DSS, HIPAA, ISO 9001 and Tier III coverage.
Cyfuture.ai 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
Cyfuture.ai controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Is Cyfuture.ai a direct GPU operator or a reseller?
Cyfuture.ai 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 Cyfuture.ai offer?
Cyfuture.ai lists A40, H20, A100 and 13 more across its published capacity.
How much does Cyfuture.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.37 – $114.00 /hr. Final cluster pricing depends on commit length, storage and networking.
Is Cyfuture.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Cyfuture.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
A40, H20, A100 and 13 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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
Inference
For predictable production serving, latency targets and steady utilisation.
H20
QuoteClaim to publish
Best for H20 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
GB300
QuoteClaim to publish
Best for GB300 workloads.
B300
QuoteClaim to publish
Best for B300 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.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.37 – $114.00 /hr
Across 29 published SKUs spanning A40, H20, A100, MI300X.
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.