Source: Ollama
IBM Granite brings Fortune 500-grade AI to your private infrastructure. With published transparency documentation, Apache 2.0 licensing, and IBM's indemnification backing, Granite is the only open-weight model family where an enterprise vendor stands behind what's in the training data.
The open-weight AI landscape is crowded. Llama, Mistral, Qwen, Gemma — all are strong models with permissive licenses. So why does Granite occupy a distinct position for enterprise buyers? The answer comes down to one word: accountability.
IBM published detailed model cards for every Granite variant, specifying which datasets were used in training, what filtering was applied, and what benchmarks were run. IBM also provides indemnification coverage for enterprise customers using Granite through its WatsonX platform — meaning IBM accepts legal liability if Granite output infringes third-party intellectual property. No other model family in the open-weight space makes that commitment.
For legal departments, financial services compliance teams, and government contractors, that accountability layer changes the conversation. You are not just deploying an AI model — you are deploying an AI model backed by a 100-year-old enterprise technology company that has staked its reputation on the model's provenance.
When running Granite privately through Ollama on NoCloudGPT infrastructure, you combine IBM's enterprise backing with complete data sovereignty. Your documents never leave your environment. Your client data stays behind your firewall. You get the trust guarantees of IBM without the cloud data-sharing agreements of WatsonX SaaS.
IBM has released multiple Granite generations targeting different hardware tiers and use cases. The core family covers general enterprise tasks — document summarization, classification, question answering, and workflow automation. Granite Code (covered separately) extends this into software development.
Ultra-compact for embedded enterprise applications, document triage, and classification workflows. Runs on CPU-only hardware.
The primary enterprise workhorse. Handles document analysis, structured data extraction, policy review, and multi-step reasoning on modest hardware.
Updated generation with extended 128K context window. Processes full contracts, annual reports, and multi-document research in a single pass.
Compact instruction-following variant for agentic workflows and automated document processing pipelines where latency matters.
IBM also releases Granite Code variants (3B, 8B, 20B, 34B) optimized for software development. These are covered in detail on the Granite Code page, including support for 116 programming languages and fill-in-the-middle completion.
Who this model family is for
Granite is designed for organizational deployments with compliance requirements. Individuals would typically get better daily-use quality from Llama 3.1 8B or Gemma 9B at similar hardware. The exception is individuals explicitly needing documented training data provenance for personal research on AI governance.
IBM's unique differentiator: published training data documentation per model, IBM indemnification for enterprise WatsonX customers, and a vendor with existing government security clearances and enterprise contracts. For legal, financial services, healthcare, and government teams evaluating AI risk, Granite's accountability story is not matched by any other open-weight option.
IBM's WatsonX platform tooling integrates natively with Granite, which matters for organizations already using IBM infrastructure. Granite Code covers 116 programming languages with enterprise-specific fine-tuning emphasis. Apache 2.0 across the family simplifies commercial integration. IBM's structured AI Factsheet model cards are useful compliance documentation artifacts.
IBM's AI Factsheets and structured transparency documentation make Granite a primary reference for researchers studying governance frameworks, training data accountability, and enterprise AI risk management in practice. Granite is useful as a documented 'best-case' example of what enterprise AI transparency looks like when a vendor treats it seriously.
Licensing information
IBM Granite models are released under Apache 2.0 — one of the most permissive licenses available. IBM additionally provides indemnification coverage for enterprise WatsonX customers, which is unusual in open-weight AI. The self-hosted Ollama deployment covered by NoCloudGPT operates under Apache 2.0; WatsonX indemnification applies only to IBM's own platform.
| Model | License | Commercial use | Verify |
|---|---|---|---|
| Granite 3.0 2B / 8B | Apache 2.0 | ✓ Permitted | HF model card → |
| Granite 3.1 2B / 8B | Apache 2.0 | ✓ Permitted | HF model card → |
| Granite 3.1 MoE 3B | Apache 2.0 | ✓ Permitted | HF model card → |
| Granite Code (3B–34B) | Apache 2.0 | ✓ Permitted | HF search → |
| Granite Guardian | Apache 2.0 | ✓ Permitted | HF model card → |
Apache 2.0 permits unrestricted commercial use. IBM's indemnification program is separate and applies only to WatsonX deployments. License information sourced from Hugging Face model cards. NoCloudGPT is not a legal advisor.
Legal teams process thousands of pages of contracts, filings, and discovery documents under strict confidentiality obligations. Running Granite 3.1 8B on private infrastructure means those documents never leave the firm's network. Granite's instruction-following accuracy on structured extraction tasks — identifying parties, dates, obligations, and risk clauses — makes it well-suited for M&A due diligence workflows. With 128K context, the model can process a full 200-page contract in a single API call rather than requiring chunking that loses document-level context.
Banks, asset managers, and insurance firms operate under data residency regulations that prohibit sending client data to third-party cloud AI services. Granite's Apache 2.0 license combined with IBM's transparency documentation satisfies vendor risk management requirements that procurement teams encounter with open-source AI. Teams can use Granite to analyze earnings transcripts, SEC filings, regulatory updates, and internal audit reports without creating data governance exceptions.
HIPAA-covered entities cannot route patient data through commercial AI APIs without Business Associate Agreements and careful vendor assessment. A privately deployed Granite instance on secure on-premise or dedicated cloud infrastructure sidesteps this problem entirely — there is no third-party processor in the data flow. Healthcare organizations have used Granite for clinical note summarization, ICD code suggestion assistance, and prior authorization document analysis.
Government agencies and contractors handling controlled unclassified information (CUI) or working toward FedRAMP authorization need AI tools with clear data handling boundaries. Granite deployed on air-gapped or network-isolated infrastructure satisfies these requirements in a way that commercial AI APIs cannot. IBM's existing government relationships and WatsonX's FedRAMP roadmap provide an institutional accountability layer that procurement officers recognize.
Granite's efficiency focus means enterprise teams can run production-quality AI on existing server hardware without specialized GPU clusters.
| Model | Min VRAM | Recommended GPU | CPU Option | Context |
|---|---|---|---|---|
| Granite 3.0 2B | 2GB | GTX 1660 / Any modern GPU | Yes | 4K |
| Granite 3.1 2B | 3GB | RTX 3060 / RTX 4060 | Yes (slow) | 128K |
| Granite 3.0 8B | 8GB | RTX 3070 / RTX 4060 Ti | Slow | 4K |
| Granite 3.1 8B | 10GB | RTX 3080 / RTX 4070 | Not recommended | 128K |
Ollama serves Granite in Q4_K_M quantization by default, reducing VRAM requirements by approximately 40% versus full precision with minimal quality loss on enterprise document tasks. For compliance-sensitive deployments requiring maximum accuracy, Q8_0 quantization is available with approximately 15% higher VRAM usage.
Most open-weight models publish a model card describing benchmark performance. IBM goes further with Granite by publishing structured documentation covering training data sources, filtering methodology, evaluation datasets, and known limitations. This documentation is designed to satisfy enterprise risk assessments and vendor due diligence questionnaires.
IBM discloses which datasets were used and what content filtering was applied — critical for IP risk assessment.
Enterprise WatsonX customers receive IP indemnification — IBM accepts liability for copyright claims arising from Granite output.
Commercial use permitted without royalties. Legal can approve without custom licensing negotiations.
When deploying Granite privately through NoCloudGPT, you retain the Apache 2.0 licensing benefits while adding an additional layer of data protection: your documents are processed entirely within your infrastructure, eliminating the cloud data processing agreements that IBM's SaaS offerings require.
Granite is available directly through the Ollama model library. Deployment takes minutes on properly provisioned hardware.
Pull the Granite 3.1 8B model
ollama pull granite3.1-dense:8b
Run an interactive session
ollama run granite3.1-dense:8b
API call for document analysis
curl http://localhost:11434/api/generate -d '{"model": "granite3.1-dense:8b", "prompt": "Summarize the key obligations in this contract: [CONTRACT_TEXT]"}'
Pull the compact 2B variant
ollama pull granite3.1-dense:2b
116-language code generation with fill-in-the-middle. 3B to 34B variants for engineering teams.
Explore →Next-generation IBM Granite with projected multimodal capabilities and extended context.
Preview →Meta's flagship open model. Broader benchmark performance but without IBM's enterprise accountability layer.
Compare →Enterprise AI with IBM's accountability backing, Apache 2.0 licensing, and complete data sovereignty. Your documents stay on your infrastructure — always.
Artwork and source references
Hero image
AI-generated abstract artwork created for NoCloudGPT. Original work, no third-party license required.
Developer reference
Granite is developed by IBM Research. NoCloudGPT is an independent deployment service and is not affiliated with or endorsed by IBM Research.
Model catalog reference
See the Ollama library page for Granite for current model tags, sizes, and release notes.