Independent analysis on GPUaaS, neoclouds, AI infra, and data centre strategy. For investors, operators, model builders, and infra leaders shaping the AI era.
01 / ANALYST READ
Our read
Thegpu.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.
Confidence: LowEvidence reviewed: 1 checks
02 / OVERVIEW
Company overview
Operator class
Pending verification
GPU models tracked
H200, MI350X, A40 and 14 more
Services
Colocation, GPU compute, Managed services and 1 more
03 / 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.
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.
MI350X
QuoteClaim to publish
Best for MI350X workloads.
H20
QuoteClaim to publish
Best for H20 workloads.
Gaudi3
QuoteClaim to publish
Best for Gaudi3 workloads.
GB300
QuoteClaim to publish
Best for GB300 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.
04 / TRUST
Verification
Evidence that there's a real operator behind the offer.
Indicator
Verification in progress
Operator classification and network checks are being reviewed. Profile reflects publicly available information.
05 / COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking, and capacity.
Hourly rates
$20/hr
Monthly rates
$5.00 – $67,727 /mo
Across 6 published SKUs spanning H200, MI350X, A40, H20.
07 / NEXT
Talk to Thegpu.ai
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thegpu.ai
Pricing pages, quote forms, and sales routes live on the provider’s own site.
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.