Using DBRX Instruct on NVIDIA NIM

Implementation guide · DBRX · Databricks Mosaic

ProvisionedOpen Weights

NVIDIA NIM exposes DBRX Instruct through model ID dbrx-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-01. Next refresh: weekly.

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 dbrx-instruct — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

Structured Outputs

About DBRX Instruct

DBRX Instruct, developed by Databricks, is a cutting-edge large language model designed for various natural language processing tasks. It excels in text summarization, question answering, information extraction, and code generation, utilizing a fine-grained mixture-of-experts architecture with 132 billion parameters. With advanced features like rotary position encodings, gated linear units, and grouped query attention, it performs exceptionally across multiple benchmarks, even outperforming some closed-source models. Trained on a vast 12 trillion token dataset, it supports contexts up to 32,000 tokens. Although primarily effective in English, its multilingual strength isn't fully explored.

Model Specs

Released2024-03-27
Parameters132B
Context32k
ArchitectureMixture of Experts

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States