Using Kimi K2 Instruct on NVIDIA NIM

Quick Start

1. 1
   Create an account at NVIDIA NIM and generate an API key.
2. 2
   Use the NVIDIA NIM SDK or REST API to call moonshotai/kimi-k2-instruct — see the documentation for request format.
3. 3
   You'll be billed $1.00/GPU·hr. See full pricing.

Code Examples

About NVIDIA NIM

NIM packages inference runtimes and model profiles into containers that expose standard API surfaces such as chat completions, completions, model listing, tokenization, health, and management endpoints. The hosted API path is useful for prototyping and catalog discovery, while the NGC/container path is the self-hosted route for teams that want GPU-hour infrastructure control, private-network deployment, Kubernetes scaling, or NVIDIA AI Enterprise support. Per-token pricing is not a universal provider-level claim in the current seed data; pricing should stay attached to sourced model-provider rows or NVIDIA's current catalog terms.

NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices. Developers can try hosted NIM APIs through the NVIDIA API Catalog on build.nvidia.com, then move the same model families into self-hosted NIM containers on NVIDIA GPUs in a data center, private cloud, public cloud, or workstation. The catalog positions NIM around optimized open and NVIDIA models, including chat, coding, reasoning, retrieval, vision, speech, and safety use cases, with downloadable model cards and API endpoints where NVIDIA exposes them.

Pricing on NVIDIA NIM

Capabilities

About Kimi K2 Instruct

Kimi K2 Instruct is an instruction-tuned language model from Moonshot AI, available via Fireworks AI.