GPU as a Service
Hikube provides access to NVIDIA accelerators in passthrough mode, for workloads that require hardware acceleration (AI/ML, rendering, HPC).
The console has no dedicated GPU page: you choose the GPU when you create the resource that uses it, in the Hikube console.
Usage modes
| Mode | Where to choose the GPU | Use cases |
|---|---|---|
| GPU on VM | VM Instances > Create an Instance, Configuration step, Hardware Acceleration (GPU) section | Native CUDA, interactive environments, rendering |
| GPU on Kubernetes | Kubernetes > Create cluster, Nodes step, GPU section of a node group | Containerized training and inference, batch |