Tokyo · Japan

GPU capacity in Tokyo.

Tokyo anchors one of the fastest-moving AI infrastructure markets in the world right now, backed by national investment. The constraints are physical: seismic engineering and the cost of power.

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At a glance

What decides a deployment in this metro.

Why it matters
Primary Japanese hub with rapid AI capacity investment
Constraint
Seismic engineering requirements and high electricity costs
Best for
Japanese enterprise serving, latency to domestic users
Alternative
Osaka for resilience and geographic separation
The market

Why buyers come here, and what they run into.

Japan's national push into AI compute has changed Tokyo's availability picture quickly, with serious investment from both domestic and global operators. Information here goes stale fast, and a market view more than a few months old is usually wrong.

The physical constraints do not move. Seismic engineering requirements narrow the set of halls that can safely carry AI rack densities, and Japanese electricity costs weigh directly on sustained training economics.

GPU racks with seismic bracing in a Tokyo data hall with the city beyond
How we place it

The design that actually works.

Where residency or latency binds a workload to Japan, we name the facility, verify power and cooling for your generation, and price the import leg properly including customs entry and importer-of-record where needed.

Where it does not bind, the honest comparison is against markets with cheaper power, keeping inference in Tokyo and training offshore. Osaka is worth considering for geographic resilience. Wider context is on the Japan desk.

Where to next

Start from what is verified.

Current verified lines with quantities, lead times and indicative pricing are public on the live inventory. Anything not listed becomes a sourcing requirement with a first pass inside one business day.

Start a Tokyo requirement See live inventoryAcknowledged within one hour, first sourcing pass within one business day.
Space and power here

Colocation in Tokyo, through the same desk.

The desk sources colocation, racks and power in this metro as well as the compute that fills them. Tokyo capacity is tight and seismic engineering shapes cost, with Inzai and Chiba carrying most new AI builds. Requirements come to us as three numbers: megawatts at day one, kilowatts per rack, and the date. The space and power desk takes it from there, and above 40 kW per rack we will tell you honestly how short the local shortlist is.

Straight answers

Asked first, answered straight.

Can you source colocation in Tokyo as well as GPUs?

Yes. Space, power and cooling in this metro route through the same desk as the compute, priced against your density and date. Above 40 kW per rack the local shortlist narrows quickly, and we say so rather than tour you through halls that cannot take the load.

Is Tokyo capacity available?

More than recently, and changing fast under national investment. The real filter is which halls can take current GPU densities given seismic and cooling requirements.

How much do Japanese power costs matter?

Enough to change the placement decision for sustained training. For inference serving Japanese users, latency usually settles the argument regardless.

Should we split across Tokyo and Osaka?

For resilience it is a sound design, and geographic separation matters in a seismic country. We structure both single-site and split deployments.

Can you handle Japanese import?

Yes. Customs entry, classification, consumption charge treatment and importer-of-record are handled by the same desk and priced into a landed number.

Talk to the desk

Working through this on a real requirement?

Twenty minutes with the desk, no pitch and no quote at the end of it. Tell us roughly what you need and we will come back within one business day.

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