watsonx.ai

AI should be powerful, flexible and enterprise-ready. That’s why IBM is bringing NVIDIA Inference Microservices (NIMs) to watsonx.ai, making it easier than ever to build, scale, and deploy cutting-edge AI across cloud and on-prem environments.

AI adoption is accelerating but complexity is holding many organizations back. With NIM integration, we’re simplifying enterprise AI deployment without compromising control, performance, or choice.

𝗪𝗵𝗮𝘁’𝘀 𝗮 𝗡𝗜𝗠?
A NIM is a GPU-optimized AI model packaged in a container with built-in enterprise features — auth, monitoring, REST/gRPC APIs, and blazing-fast inference speeds.

𝗪𝗵𝗮𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗴𝗲𝘁:
• Optimized performance on NVIDIA GPUs
• Run AI anywhere with hybrid + multi-cloud support
• Stronger AI governance with built-in security and observability
• Faster deployment without vendor lock-in

𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲
From smart assistants to complex workflows, agentic architectures rely on LLMs. NIMs give developers scalable, high-performance models with standardized APIs—accelerating how businesses build intelligent, real-time systems.

𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗶𝗻 𝘄𝗮𝘁𝘀𝗼𝗻𝘅.𝗮𝗶
Imported NIMs appear right in your model library. Just select, prompt, and build—no extra steps.

IBM’s vision is clear: open ecosystems, flexible deployment, and best-in-class models—from IBM, open source, or partners like NVIDIA. With watsonx, the future of enterprise AI is here.

Learn more:
- Official Press Release: https://lnkd.in/gtHydb9Q
- Blog: https://lnkd.in/gr6HpMej

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