QDNASales and integration of LLM inference and training platforms, on-premises or hybrid

Triton Inference Server

Inference Runtime

Triton Inference Server

Triton serves models from multiple frameworks on a single infrastructure. It handles dynamic batching, concurrent instances and metrics tracking. It integrates with the NVIDIA AI Enterprise stack.

Key points: Multi-framework · Dynamic batching · Concurrent instances · Metrics · NVIDIA AI Enterprise.

Role

Triton Inference Server serves models from multiple frameworks on a single infrastructure, beyond large language models alone.

How it works

It handles dynamic batching, concurrent instances and metrics tracking, with fine-grained request scheduling.

Use cases

Triton suits heterogeneous fleets that combine language models, vision models and classic models, under a single console.

Integration

It integrates with the NVIDIA AI Enterprise stack and serves models in NVFP4 format on Blackwell GPUs.

Talk to a specialist

A no-obligation conversation.

Book a call