Using Arctic on NVIDIA NIM

Implementation guide · Arctic · Snowflake

ProvisionedOpen Source

NVIDIA NIM exposes Arctic through model ID arctic. 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 arctic — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

Structured Outputs

About Arctic

Snowflake Arctic is an advanced large language model tailored for enterprise applications by Snowflake AI Research. It features an innovative Dense-MoE Hybrid transformer architecture, combining a 10 billion parameter dense transformer with a 128 x 3.66 billion parameter MoE MLP, totaling 480 billion parameters but utilizing only 17 billion actively. This structure optimizes efficiency, particularly for tasks like SQL generation, coding, and instruction following. The model's training spanned a diverse dataset of 3.5 trillion tokens, focusing on enterprise needs. Despite its capabilities, Arctic's deployment presents challenges due to its size, and it remains vulnerable to inaccuracies with unclear inputs.

Full model details →

Model Specs

Released2024-04-24
Parameters480B
Context4k
ArchitectureMixture of Experts

Also available on(3)

Replicate API$0.65/1MMicrosoft Foundry$2.00/1MTogether AI$2.40/1M
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Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States