IBM Enhances watsonx with Open Source and Ecosystem Innovations to Scale Enterprise AI

IBM has announced significant enhancements to its watsonx platform, focusing on open-source contributions and ecosystem innovations to drive enterprise AI adoption at scale. Key developments include:

• InstructLab: A new tool enabling developers to build AI models tailored to specific business domains using their own data, facilitating direct value realization from AI implementations.
• Red Hat Enterprise Linux AI (RHEL AI): This solution combines an enterprise-ready version of InstructLab, IBM's open-source Granite models, and the leading enterprise Linux platform to simplify AI deployment across hybrid infrastructure environments.
• New AI Assistants: IBM is introducing several AI assistants, such as watsonx Code Assistant for Enterprise Java Applications, designed to aid in code modernization and understanding through natural language explanations.
• Expanded NVIDIA GPU Offerings: To support AI and mission-critical workloads, IBM is expanding its NVIDIA GPU offerings to include NVIDIA L40S and L4 Tensor Core GPUs, along with support for RHEL AI and OpenShift AI.

These enhancements aim to address challenges in AI adoption, such as skills gaps and data complexity, by providing tools and infrastructure that facilitate the development and deployment of AI solutions within enterprises.