Exclusive performance
Training, fine-tuning and latency-sensitive inference that cannot tolerate contention from other tenants on the same GPU server.
Bare Metal GPU
Dedicated Bare Metal GPU Infrastructure
Physical GPU servers reserved for your workload — without noisy neighbours and with the control enterprises expect from dedicated infrastructure.
Overview
What is Bare Metal GPU?
Bare Metal GPU is dedicated physical GPU hardware allocated to a single customer. You get the server, the accelerators and the control plane access required to run demanding AI jobs without sharing the machine.
Dimension AI delivers Bare Metal GPU as part of GPU as a Service inside AI Factory environments, so dedicated servers still sit on enterprise fabric, storage and operations rather than as isolated boxes.
Capabilities
When dedicated hardware is the right model
Full control
Workloads that need physical isolation, custom system configuration or a dedicated operating environment rather than a shared instance.
Predictable capacity
Reserved GPU servers for programmes that must know the hardware will be there for the life of the project.
Capabilities
How Bare Metal GPU fits the factory
Connected, not stranded
Dedicated servers still use factory fabric and storage so data pipelines, checkpoints and cluster expansion remain possible.
Operate or consume
Use Bare Metal GPU as dedicated infrastructure, or combine it with managed operations when you want Dimension AI to run the environment.
Scale path
Move from a dedicated server footprint into GPU clusters when the workload outgrows a single node.
FAQ
Questions teams ask
Is Bare Metal GPU the same as a private AI Factory?
No. Bare Metal GPU is dedicated hardware. A private AI Factory is a broader single-tenant environment that can include compute, fabric, storage, orchestration, operations and consumption models.
Can Bare Metal GPU be used for inference as well as training?
Yes. Dedicated GPU servers are used for training, fine-tuning and inference. Inference can also be consumed as a managed service when you do not want to operate serving yourself.
