Multi-GPU inference

Fact

Using several GPUs together to run a model and answer requests.

In Plain Words

Multi-GPU inference is like moving a giant couch with one friend. Add more friends, and nobody becomes pancake.

Cloud apps and company AI use it. It helps huge models fit and reply faster.

Related Concepts

• GPU Compute
• Model parallelism
• LLM inference engine
• Video RAM

GPU
Multi-GPU inference splits one inference job across several GPUs.

Model parallelism
Model parallelism is a common way to split the model across GPUs.

Inference engine
The inference engine schedules the GPU work and communication.

VRAM
Multi-GPU inference can combine VRAM so a larger model fits.