GPU Bare Metal
Your own dedicated servers
Your own dedicated GPU servers, in data centers across Japan — the raw engines of AI, reserved just for you.
AI infrastructure, deployed in Japan
Everything your AI runs on — from GPU hardware to the API you call.
Tara Cloud gives Japanese enterprises every layer of AI infrastructure: dedicated GPU servers in data centers across Japan, a managed platform for your containerized workloads, one-click research environments, and LLM services — from your own private deployment to a simple OpenAI-compatible API.
- GPUs across Japan
- Data residency in-country
- Dual headquarters
- Silicon Valley × Tokyo
- Enterprise-grade security
- Tenant isolation, audit logging
- Renewable-powered
- Green Orchestration scheduling
Products
Five products, one provider — from hardware to API
Choose how much of the AI stack you want to run yourself. Every product is deployed, operated, and supported in Japan.
AI Platform
Your containers, our operations
Bring your containerized jobs — the platform runs them on discounted flexible tiers or a production tier, managed with Kubernetes.
Research Environment
A ready-to-use AI lab
JupyterLab notebooks and optimized environments, ready in one click — no setup, no IT project.
LLM as a Service
Your own private LLM, with an API
Deploy any open-source LLM with one click on your own scalable GPU environment and get an API for production. It is your system — completely isolated, shared with nobody.
LLM API Endpoint
Shared, OpenAI-compatible API
An OpenAI-compatible API for open-source models, billed per token. Official OpenAI & Anthropic models are also available on a single JPY invoice.
Not sure which product you need?
Answer one question — what do you want to do? — and the decision guide below points you to the right product.
How it fits together
The AI stack, in four layers
No expertise required: everything we offer is built on the same four layers. Pick the layer you need — or let us run the whole stack for you.
01
GPUs
The engines of AI — dedicated graphics processors in data centers across Japan.
GPU Bare Metal
02
Platform
The operations layer — scheduling, scaling, and billing, managed with Kubernetes.
AI PlatformResearch Environment
03
Models
The AI itself — open-source LLMs, deployed on GPUs reserved just for you.
LLM as a Service
04
API
The front door — call powerful models like any other web service, from any system.
LLM Endpoint
The further right you go, the less your teams operate — and every layer is also available on its own.
Decision guide
Which do I need?
Find the sentence that sounds like your situation — the product next to it is where to start.
- Research EnvironmentA ready-to-use AI lab — notebooks, optimized environments, one click.
I want to experiment with AI
- AI PlatformBring your containers; the platform schedules, scales, and bills them for you.
I run my own workloads in containers
- GPU Bare MetalDedicated GPU servers in data centers across Japan — reserved just for you.
I need my own dedicated hardware
- LLM as a ServiceAny open-source LLM, deployed on isolated GPUs that are yours alone.
I want my own private LLM, with an API
Do several of these sound like you? They stack — most customers start with one product and grow into the next layer.
The infrastructure trilemma
Data security. Environmental impact. Cost efficiency. Solve all three.
Most infrastructure forces a trade-off: secure but expensive, efficient but opaque, green but constrained. Tara Cloud is engineered so the three constraints reinforce each other — data anchored in Japan, workloads scheduled around renewable energy, and idle capacity generating value only with your opt-in.
The Tara Cloud platform
Data security
In-country residency, tenant isolation, full audit trails
Environmental impact
Compute follows renewable energy cycles
Cost efficiency
Sub-minute provisioning, monetized idle capacity
For regulated industries
Trusted architecture for banks and financial institutions
Tara Cloud is Japan's AI infrastructure — from dedicated GPU servers to a production LLM API, in-country, on one contract and one JPY invoice. Generative AI adoption in Japanese finance runs on trust — in where data lives, how it is handled, and who answers for it. Tara Cloud is built to pass that assessment.
Data residency in Japan
Tara Cloud-hosted GPUs, LLM inference, and customer data are processed and stored entirely in Japan.
No training on your data; zero-retention mode
Customer inputs and outputs are never used for model training. Zero-retention processing — where inputs and outputs are not stored — is available on request.
Dedicated tenant isolation
Single-tenant environments, private networking, and full audit logging of infrastructure and API activity.
Aligned with Japanese standards
Architecture aligned to FISC safety guidelines, ISMAP registration, and enterprise procurement documentation.
Built into everything
One platform underneath the products
Every product runs on the same technical foundation — engineered in, not bolted on afterwards.
One technical platform
A single control plane under every product: an API gateway, an MCP server with live hardware telemetry, Kubernetes-based orchestration, and per-GPU-second metering with spending limits you control.
Green Orchestration
Workloads are scheduled dynamically to follow renewable energy cycles — lowering carbon impact and cost at the same time, without changing how your teams work.
AI Commons
A marketplace where idle compute capacity is shared and monetized. Reserved capacity earns value when your teams are not using it — and the ecosystem becomes more efficient for everyone.
Why Japan
Built in Japan, for Japan
Japan's digital future deserves infrastructure designed for it — not adapted to it after the fact.
GPUs physically deployed in Japan
Your workloads run in-country, with data residency you can state to your regulators.
Tokyo headquarters in Marunouchi
A local team, local accountability, and relationships that operate in Japanese business hours.
Bilingual support
Enterprise support in Japanese and English, with documentation for both.
A long-term commitment
We are building the foundational compute layer for Japan's digital future — here, and for the long run.
How it works
From first conversation to production scale
01
Talk to us
A focused conversation about your workloads, data requirements, and compliance constraints.
02
Design your environment
We architect the right configuration — dedicated hardware, platform workloads, a research environment, or LLM APIs — with your security team in the loop.
03
Launch in under a minute
Research clusters launch with one click, private LLMs deploy from a catalog, and API keys are issued on the spot.
04
Scale with Green Orchestration
Capacity grows with your roadmap, scheduled dynamically around renewable energy cycles.
Billing
Usage-based billing, enterprise terms
No surprise invoices: every product bills for what you use, and the finance dashboard shows usage, spend, and budget limits in real time — with downloadable invoices for procurement.
Compute products
Bare Metal is billed per node, by the hour or day. The AI Platform pairs deeply discounted flexible tiers for interruptible work with a production tier. The Research Environment includes the environment itself — GPU usage is simply metered.
LLM services
LLM as a Service is charged per GPU-second, with spending and usage limits you set yourself. The LLM Endpoint bills per token — like any OpenAI-compatible API. Official OpenAI & Anthropic models arrive on a single monthly JPY invoice through Tara Cloud. Because official OpenAI and Anthropic models are served through each vendor's official API, inference may run outside Japan.
Compare performance on the benchmarks leaderboard
Every engagement includes Japanese-language enterprise support and procurement documentation.
Start the conversation.
Tell us about your workloads, data requirements, and compliance constraints. A senior member of our team will respond within one business day.
Start the conversation
Prefer email? sales@taracloud.jp