AI should be powerful, flexible and enterprise-ready. Thatโs 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, weโre simplifying enterprise AI deployment without compromising control, performance, or choice.
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A NIM is a GPU-optimized AI model packaged in a container with built-in enterprise features โ auth, monitoring, REST/gRPC APIs, and blazing-fast inference speeds.
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โข Optimized performance on NVIDIA GPUs
โข Run AI anywhere with hybrid + multi-cloud support
โข Stronger AI governance with built-in security and observability
โข Faster deployment without vendor lock-in
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From smart assistants to complex workflows, agentic architectures rely on LLMs. NIMs give developers scalable, high-performance models with standardized APIsโaccelerating how businesses build intelligent, real-time systems.
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Imported NIMs appear right in your model library. Just select, prompt, and buildโno extra steps.
IBMโs vision is clear: open ecosystems, flexible deployment, and best-in-class modelsโfrom 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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