Mitrasish Mukherjee is co-founder at Spheron. Read his posts on GPU clouds, NVIDIA H100/B200 infrastructure, LLM training, inference, and AI scaling.
01 / ANALYST READ
Our read
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Check back once verification is complete for a more detailed read.
Confidence: LowEvidence reviewed: 1 checks
02 / OVERVIEW
Company overview
Operator class
Pending verification
Operating entity
GPU Cloud Providers in Asia-Pacific 2026: H100, H200, and B200 ...
GPU models tracked
RTX4090, H200, MI350X and 19 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.
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.
H800
QuoteClaim to publish
Best for H800 workloads.
RTX5090
QuoteClaim to publish
Best for RTX5090 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.
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
$0.10 – $658 /hr
Monthly rates
$3.60 – $32,700 /mo
Across 290 published SKUs spanning RTX4090, H200, MI350X, H800.
07 / NEXT
Talk to Spheron.network
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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.