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NVIDIA NIM

Using Granite 3.3 8B Instruct on NVIDIA NIM

Implementation guide · Granite 3 · IBM Research

ServerlessOpen Source

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 ibm/granite-3.3-8b-instruct — see the documentation for request format.
  3. 3
    You'll be billed $1.00/GPU·hr. See full pricing.

Code Examples

See NVIDIA NIM documentation for integration details.

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

TypeRate
GPU Hour Rate$1.00/GPU·hr
GPU Config1xH100

Capabilities

Function CallingTool Use

About Granite 3.3 8B Instruct

IBM Granite 3.3 8B with improved reasoning capabilities. Part of IBM's enterprise-focused Granite model family optimized for instruction following.

Model Specs

Released2025-03-01
Parameters8B
Context128K
ArchitectureDecoder Only
Knowledge cutoff2024-04

Provider

NVIDIA NIM
NVIDIA NIM

NVIDIA

Santa Clara, California, United States