Jarvis Labs provides direct B200, H200, H100, A100, L4, GB200 and A30 GPU cloud capacity for AI, machine learning and deep learning. Its platform offers rapid deployment, per-minute billing and managed infrastructure for training and inference.
☆ Shortlist
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Jarvis Labs 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
Jarvis Labs controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Is Jarvis Labs a direct GPU operator or a reseller?
Jarvis Labs 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 Jarvis Labs offer?
Jarvis Labs lists A100, B200, GB200 and 5 more across its published capacity.
How much does Jarvis Labs charge for GPU compute?
Published indicative rates span Hourly rates at $0.39 – $98.32 /hr. Final cluster pricing depends on commit length, storage and networking.
Is Jarvis Labs's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Jarvis Labs has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
GPU models tracked
A100, B200, GB200 and 5 more
Services
GPU compute, Managed services, Bare metal
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.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
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.
A30
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Production inference and light fine-tuning in a data-centre chassis.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
RTX6000
QuoteClaim to publish
Best for RTX6000 workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.39 – $98.32 /hr
Across 39 published SKUs spanning A100, B200, GB200, H100.
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.