spheron.ai provides GPU infrastructure spanning B300, B200, H200, H100, A100, L40S, RTX 4090, GB200 and other accelerators. Its services include specialized compute and colocation with Tier III, Tier IV, SOC 2, ISO 27001, HIPAA, PCI DSS and ITAR coverage.
spheron.ai 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.
Best for: Buyers doing initial provider research. Not for: Procurement decisions that require a verified operator model.
Confidence: LowEvidence reviewed: 1 checks
Indicator
Verification in progress
Operator classification and network checks are being reviewed. Profile reflects publicly available information.
REVIEWS
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Is spheron.ai a direct GPU operator or a reseller?
spheron.ai is classified as a pending verification. Buyers doing initial provider research. Procurement decisions that require a verified operator model.
What GPU models does spheron.ai offer?
spheron.ai lists RTX4090, H200, MI350X and 15 more across its published capacity.
How much does spheron.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.30 – $17.80 /hr. Final cluster pricing depends on commit length, storage and networking.
Is spheron.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. spheron.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Pending verification
GPU models tracked
RTX4090, H200, MI350X and 15 more
Services
Colocation, GPU compute, 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.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides 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.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
MI350X
QuoteClaim to publish
Best for MI350X workloads.
RTX5090
QuoteClaim to publish
Best for RTX5090 workloads.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
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
$0.30 – $17.80 /hr
Across 82 published SKUs spanning RTX4090, H200, MI350X, RTX5090.
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.