From GPU data center build-out and operations to AI inference infrastructure — bloomax helps enterprises adopt AI at the right scale, from the ground up.
bloomax delivers GPU-powered AI infrastructure in three forms — from small-scale proof-of-concept environments to dedicated clusters and fully managed operations, tailored to your needs and scale.
GPU computing environments tailored to development and validation workloads. Contact us to discuss configurations, availability, and pricing.
Learn moreA dedicated GPU cluster environment designed around your workload requirements — delivering stable inference and training in a fully private setup.
Learn more
bloomax handles everything from infrastructure build-out to day-to-day operations, so your team can focus entirely on AI workloads.
Learn morebloomax's Role
bloomax helps clarify what you want to achieve with AI and what your infrastructure needs to support, then proposes a configuration, deployment approach, and operational scope suited to your use case. We coordinate with technology partners where needed. You are welcome to reach out even before your requirements are fully defined.
Customer
Goals, business requirements, existing environment
bloomax
Requirements clarification, configuration proposal, deployment coordination, role definition
Technology Partners
Equipment, products, and specialist services as needed
Coordination structure and responsibilities are defined on a per-project basis.
We confirm the intended use, expected scale, budget, deployment timeline, and data handling requirements to establish the basis for evaluation.
Key topics
Use case / Scale / Budget & timeline / Existing environment / Data handling
We evaluate GPU, network, storage, and operational requirements together, balancing performance, cost, and scalability.
Key topics
GPU configuration / Network & storage / Cost / Scalability / Operational overhead
We confirm supply terms, deployment schedule, and build scope, and clarify the roles of the customer, bloomax, and technology partners.
Key topics
Supply terms / Deployment schedule / Build scope / Stakeholder coordination
We clarify which areas of monitoring, maintenance, incident response, and updates the customer will manage internally and which areas require support.
Key topics
Monitoring & maintenance / Incident escalation / Updates & changes / Operational scope
Building on this work, bloomax is also preparing Token Factory — an AI inference service for enterprise use.
Specific scope, team structure, costs, and schedules are discussed individually based on your requirements and contract terms.
Discuss the right approach for your organizationUse case, scale, output quality, data handling, cost and operations — five key points to clarify before evaluating AI inference infrastructure.
Useful even if your requirements aren't finalized yet.
Read the guideGPU selection, dedicated environment setup, operations review — see example consultation scenarios.
View consultation examplesWhere Managed AI Factory handles GPU cluster build-out and operations, Token Factory is the next step — aiming to deliver inference APIs and dedicated inference environments. We are building this service to support enterprise AI adoption.
From requirements assessment to deployment and operations, bloomax supports GPU data center projects for AI and simulation workloads.
Contact Us
Explore our open roles and apply through our careers page.
View Open RolesWhether you have a specific requirement or are still exploring options, we are happy to discuss GPU infrastructure, data centers, and AI inference at any stage.
Company
bloomax Inc.
CEO
Shinjiro Ono
Founded
December 12, 2012
Address
Tennozu Bay Tower, 13F East A, 2-3-12 Higashi-Shinagawa, Shinagawa-ku, Tokyo, Japan
