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gdep-sol

gdep-sol.co.jp provides direct GPU servers, workstations and rental services for AI and HPC workloads. Its listed hardware includes H100, A100, B300, B200, H200, L40S, RTX 4090, GB200 and additional NVIDIA accelerator systems.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

gdep-sol 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

gdep-sol controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.

REVIEWS

Buyer reviews

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FAQ

Frequently asked questions

Is gdep-sol a direct GPU operator or a reseller?
gdep-sol 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 gdep-sol offer?
gdep-sol lists A40, RTX5090, RTX3090 and 13 more across its published capacity.
How much does gdep-sol charge for GPU compute?
gdep-sol does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is gdep-sol's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. gdep-sol has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
GPU models tracked
A40, RTX5090, RTX3090 and 13 more
Services
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.

A100

QuoteClaim to publish
VRAM 80 GBClass SXM

Best for
Mature training stacks that value known performance and broad tooling support.

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.

B200

QuoteClaim to publish
VRAM 192 GBClass Blackwell

Best for
Frontier-scale training and teams optimizing around the newest platform.

Inference

For predictable production serving, latency targets and steady utilisation.

RTX5090

QuoteClaim to publish

Best for
RTX5090 workloads.

RTX3090

QuoteClaim to publish

Best for
RTX3090 workloads.

B100

QuoteClaim to publish

Best for
B100 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.

Pricing on request. Visit gdep-sol’s site for a quote.

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