clore.ai operates a distributed GPU marketplace connecting server owners with renters for AI training, rendering and bare-metal workloads. Its listed inventory spans B300, B200, H200, H100, A100, L40S, RTX 4090, MI300X and other accelerators with Tier III and Tier IV facilities.
clore.ai aggregates GPU supply from multiple underlying operators, offering breadth across hardware types and pricing tiers. Useful for buyers who value flexibility and competitive pricing over consistency in the underlying hardware or provider.
Capacity source and provenance vary by listing. Teams with strict compliance or performance requirements should verify before committing at scale.
Best for: Buyers comparing flexible third-party supply across hardware and price points. Not for: Workloads that need a consistent underlying operator and infrastructure provenance.
Confidence: MediumEvidence reviewed: 4 checks
Indicator
Marketplace classification
clore.ai aggregates GPU capacity from multiple underlying providers through a marketplace model.
Indicator
Supply variability
Capacity source and underlying hardware vary by listing. Review individual offer terms before committing to extended runs.
REVIEWS
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clore.ai is classified as a marketplace. Buyers comparing flexible third-party supply across hardware and price points. Workloads that need a consistent underlying operator and infrastructure provenance.
What GPU models does clore.ai offer?
clore.ai lists A40, H800, RTX3090 and 16 more across its published capacity.
How much does clore.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.10 – $38.16 /hr, Monthly rates at $25 – $37,093 /mo. Final cluster pricing depends on commit length, storage and networking.
Is clore.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. clore.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Marketplace
GPU models tracked
A40, H800, RTX3090 and 16 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.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
Inference
For predictable production serving, latency targets and steady utilisation.
H800
QuoteClaim to publish
Best for H800 workloads.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
A10
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Inference and rendering for workloads that don't need A10G 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.
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.
Hourly rates
$0.10 – $38.16 /hr
Monthly rates
$25 – $37,093 /mo
Across 136 published SKUs spanning A40, H800, RTX3090, A100.
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.