AI Coding Live News

IBM Granite 4.2 lands on Ollama: 3B/8B/30B Apache-2.0 models for enterprise agents

Ollama added IBM Granite 4.2 in 3B, 8B, and 30B sizes, Apache 2.0, free for research and commercial use. The family is aimed at enterprise agents: coding, RAG, tool use, structured JSON, multilingual chat, and a built-in thinking mode, with data and training run through IBM GRC and document-quality reviews. Context is 128K; ollama run granite4.2 is enough to start locally. For teams that cannot send code off-network but still want a reason-on/off small model with a commercial license, it is a compliance-friendly local agent base.

Key Takeaways

  • Granite 4.2 ships 3B/8B/30B under Apache 2.0 for research and commercial use.
  • Targets enterprise agents: coding, RAG, tools, JSON, multilingual, plus togglable thinking.
  • GRC-screened training data; 128K context on Ollama via ollama run granite4.2.
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Microsoft .NET Combines Copilot Coding Harness with Agent Framework for Governed Enterprise Agents

Microsoft's .NET team announced production stability for the GitHub Copilot coding harness combined with Microsoft Agent Framework across .NET and Python, featuring MCP tools, sandboxes, and approval workflows.

Key Takeaways

  • Packages enterprise agent runtimes into a governed harness featuring granular approvals and full observability;
  • First-class support for MCP tools, bash shell execution, and URL extraction across .NET and Python;
  • Integrates with Azure Container Apps sandboxes to provide secure isolation for untrusted agent code.
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Groq Deploys NVIDIA Groq 3 LPX Alongside Vera Rubin NVL72 for Production Agent Inference

Groq announced early cloud deployment of NVIDIA Groq 3 LPX systems paired with Vera Rubin NVL72 in partnership with Dell, creating a multi-architecture ultra-low latency inference fleet for enterprise agents.

Key Takeaways

  • Groq evolves into a hybrid inference cloud operating custom LPX chips alongside NVIDIA Vera Rubin NVL72;
  • Partnership with Dell accelerates enterprise-grade low-latency data center deployments;
  • Engineered for high-concurrency autonomous coding agents requiring sub-second multi-step iterations.
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