The Cheapest GPU Cloud Providers for Indonesian and Vietnamese AI ... provides direct on-demand GPU instances and one-click model deployment with per-second pricing. Its listed hardware includes H20, A40, L40S, RTX 4090, H100, H800, A100 and A800 systems with SOC 2 coverage.
Cloudgpu.app 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
Cloudgpu.app controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
REVIEWS
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Is Cloudgpu.app a direct GPU operator or a reseller?
Cloudgpu.app 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 Cloudgpu.app offer?
Cloudgpu.app lists A100, A40, A800 and 8 more across its published capacity.
How much does Cloudgpu.app charge for GPU compute?
Published indicative rates span Hourly rates at $0.20 – $0.80 /hr. Final cluster pricing depends on commit length, storage and networking.
Is Cloudgpu.app's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Cloudgpu.app has not claimed it.
OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
The Cheapest GPU Cloud Providers for Indonesian and Vietnamese AI ...
GPU models tracked
A100, A40, A800 and 8 more
Services
GPU compute
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.
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.
A800
QuoteClaim to publish
Best for A800 workloads.
H20
QuoteClaim to publish
Best for H20 workloads.
H800
QuoteClaim to publish
Best for H800 workloads.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM 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
$0.20 – $0.80 /hr
Across 5 published SKUs spanning A100, A40, A800, H100.
Reviewed Aug 31, 2026
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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.
