Workload-led sizing
Translate model size, concurrent users, data volumes and growth plans into compute, memory and storage requirements.
ACCELERATE / AI ComputeThe right compute.
The right compute.
For your next breakthrough.
GPU workstations, accelerated servers and clusters sized around the models you want to run and the people who need them.
Discuss your projectWHO IT’S FOR
AI teams moving from shared experiments to dedicated infrastructure, engineering teams running demanding workloads, and enterprises planning production inference.
WHAT GATES ASIA DELIVERSDesigned for your environment.
Designed for your environment.
Connected to your goals.
Integrated GPU infrastructure
Bring together workstations or GPU servers, networking, storage and the software environment required by your workloads.
Validation and handover
Agree representative workloads, test the proposed environment and document the configuration for your operations team.
THE ENGAGEMENTA clear scope.
A clear scope.
A practical path forward.
We agree the requirements, responsibilities and acceptance criteria with your team before implementation.
- Workload discovery and capacity assessment
- Configuration options and a bill of materials
- Installation, configuration and acceptance testing
- Operating documentation and support planning
HOW IT FITS TOGETHERBuild on what
Build on what
you already have.
Connect accelerated compute to your existing identity, data sources, storage and management tools. Plan network, power and cooling requirements before equipment arrives.
YOUR NEXT STEP
Talk to Gates Asia