Japan
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GPUAAS.COM — WHOLESALE GPU NETWORK / A HOSTED·AI SERVICE ◆ CAPACITY AVAILABLE — 20+ PARTNERSQUOTES < 24HREV 2026.09
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GPU cloud in Japan · Tokyo and regional
DATASHEET / 01
MULTI-GENERATION
FROM UNDER $7 / GPU-HR ◆ AVAILABLE

GPU cloud
in Japan
, at

wholesale price.

A100, H100, H200 and B200 from vetted Japanese partners, with Tokyo or regional placement to suit latency and power cost, at
~30% less than hyperscale. Quotes in under 24 hours.

FIG. 1 — HGX GPU BASEBOARD
SCALE 1:4
HGX GPU node
GPU generations
4
Architectures
Hopper + Blackwell
Vetted partners
20+
Quote turnaround
24 hrs
Commitment
Short / long
QUOTES IN UNDER 24 HOURS VETTED PARTNERS WORLDWIDE SHORT OR LONG TERM COMMITMENT DIRECT OPERATOR CONTRACTS CAPACITY AVAILABLE NOW PLACEMENT YOU SPECIFY
◆ THE SHORT ANSWER

Yes. Tokyo is the largest hyperscaler region in APAC and typically the first to receive new GPU generations, with domestic providers adding sovereign-focused capacity. The revised APPI applies extraterritorially, and Article 24 governs provision to foreign recipients, so in-country placement removes a consent step for Japanese residents' personal information. Northern regions cut power costs materially: Hokkaido tariffs of $0.06 to $0.07 per kWh can reduce operating expense by up to 30%.

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01
◆ PRICING

What GPU cloud capacity costs

Market reference ranges by generation, August 2026. Wholesale rates through GPUaaS.com are quoted per enquiry and vary by commitment term, configuration and placement.

◆ WHOLESALE
GPUAAS.COM WHOLESALE
under $7/GPU-hr
~30% below hyperscale list
$4$6$8$10$12$14$16/GPU-HR
A100 80GB
Mid-scale training and inference
from ~$1.00
H100 SXM
Median across 40 tracked providers
median $3.33
H200 SXM
Best cost per token under 141 GB
~$4.40-$4.55
B200 SXM
Average across 29 tracked providers
avg $7.63
Hyperscaler on-demand
List pricing, egress extra
$9.36-$16.11
◆ GPUaaS.com wholesale
Vetted partners · direct operator contract
quoted per enquiry
◆ RATES VARY BY GENERATION, TERM AND PLACEMENT
Get a quote →
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Where Japanese GPU cloud earns its keep

The workloads Japanese capacity is built for.

TABLE 02.A
4 ENTRIES
/01

Training at scale

Train on Japanese-resident data without triggering an APPI foreign-transfer assessment. Northern and regional placement keeps power costs down for long runs that do not need Tokyo latency.
200B+ paramsMoEMulti-node
/02

High-throughput inference

Serve production inference to Japanese users from Tokyo, the deepest and best-connected capacity in the country, with prompts staying under Japanese jurisdiction.
vLLMTGITensorRT-LLM
/03

Fine-tuning

Fine-tune on proprietary Japanese datasets, from manufacturing and automotive telemetry to financial records, without the corpus leaving the country.
AxolotlUnslothHuggingFace
/04

RAG and long context

Run retrieval over Japanese-language document estates, keeping the corpus and the audit trail inside Japan rather than crossing a border on every query.
LangChainLlamaIndexWeaviate
~30%
below hyperscale list. Same silicon, wholesale rates.
◆ STOP OVERPAYING FOR COMPUTE
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◆ LIVE NETWORK · 12 LOCATIONS

Vetted GPU partners worldwide.

Tell us where you need placement and you talk straight to the operator running your nodes.

4
GPU GENERATIONS
20+
VETTED PARTNERS
12
PLACEMENT OPTIONS
24h
QUOTE TURNAROUND
USA CAN UK DEU FRA NLD UAE SAU IND SGP JPN AUS
04
◆ COST COMPARISON

See how much you save at scale

Wholesale rates against cloud list price for a 64-GPU cluster.

CLUSTER SIZE
8 HGX nodes
64 × GPUS · 730 HRS/MO
ASSUMPTIONS · BLENDED $6.00/GPU-HR · INDICATIVE ONLY
SOURCEEST. MONTHLYVS GPUAAS
Retail cloud
On-demand list price · reserved discounts require lock-in
~$280k
+$84k
Direct datacentre negotiation
Long-term commitment · slow procurement cycle
~$230k
+$34k
◆ BEST VALUE
GPUaaS.com wholesale
Vetted partners · direct operator contract · quotes in 24 hours
~$196k
SAVE ~$84k/MO
Need single-GPU compute? packet.ai has you covered.
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◆ HOW IT WORKS

A matchmaker, not a marketplace.

We connect you to our vetted partners. You contract directly with the operator running your nodes.

STEP 01/4
01

Tell us the requirement

GPU model, count, placement and timeline. Add workload detail if you have it.

STEP 02/4
02

We match capacity

We find vetted partners with capacity that fits, in the jurisdiction you need.

STEP 03/4
03

Quotes in 24 hours

Real quotes from partners who hold the capacity, not listings that may not exist.

STEP 04/4
04

Contract and provision

You contract directly with the operator. We smooth the provisioning process.

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◆ FAQ

Frequently Asked Questions

Q1
Can I rent GPU cloud capacity in Japan?

Yes. Tokyo is the largest hyperscaler region in APAC by overall compute capacity and typically the first APAC region to receive new GPU generations, and domestic providers add sovereign-focused GPU as a Service alongside it. Tell us the model, GPU count and timeline and we will confirm what is available in Japan within 24 hours.

Q2
How much does GPU cloud cost in Japan?

Market-wide, the median on-demand H100 rate was $3.33 per GPU-hour across 40 providers as of 31 August 2026, with B200 spanning $3.35 to $16.11. Japanese placement carries an energy premium in the main metros, though northern regions are materially cheaper: Hokkaido tariffs of roughly $0.06 to $0.07 per kWh can cut operating expense by up to 30%. Rates are quoted in USD.

Q3
How does Japan's APPI affect GPU cloud placement?

It matters more than most teams expect. The revised APPI, effective April 2022, applies extraterritorially to foreign businesses handling the personal information of Japanese residents. Article 24 governs provision to foreign recipients, so if your training pipeline processes Japanese residents' personal information and sends it to a GPU cloud abroad, you need consent or another lawful basis. In-country placement removes that step.

Q4
What shapes where Japanese GPU capacity sits?

Two things: power and earthquakes. High electricity tariffs in the main metros push operators toward liquid-cooled and immersion designs, and seismic risk encourages spreading capacity across regions rather than concentrating it. That is why Japanese capacity is increasingly dispersed to Hokkaido and regional cities, supported by a METI subsidy programme of roughly JPY 114.6 billion.

Q5
Should I place everything in Tokyo?

Often yes. Tokyo gives the lowest latency to Japanese users and the deepest instance choice, while northern and regional sites offer materially lower power costs for training that is not latency-sensitive. Tell us which workloads need Tokyo and which do not, and we will quote both.

Q6
Can I get dedicated GPU cloud capacity under Japanese jurisdiction?

Yes. Sovereignty concerns have driven domestic build-out precisely so Japanese organisations need not share silicon with competitors or route workloads through foreign-controlled infrastructure. If your requirement is Japanese jurisdiction rather than merely Japanese geography, say so on the enquiry and we will match a partner accordingly.

◆ GET A QUOTE
Tell us what you need

in under 24 hours.

Tell us the essentials. We'll line up real quotes from our vetted wholesale partners, and you contract directly with the operator.

Quotes in under 24 hours
Direct contact with operators
Vetted partners, matched to your requirement
20+ vetted providers · 10 regions
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