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DeepNewz, mobile.
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NVIDIA's latest advancements in AI technology focus on NIMs, microservices that accelerate generative AI. These NIMs, including LLM NIMs and NeMo Retriever NIMs, empower developers by providing optimized AI models and runtime components for easier integration into applications.
Get ready for GPU-agnostic scaling with @LaminiAI! *Zero* code changes to run/tune LLMs on NVIDIA & AMD GPUs. Learn how 1M adapters are optimized on NVIDIA GPUs for Memory Tuning! ✍️ with @NVIDIAAI: https://t.co/nwl1WwJz2c
$NVDA #NVIDIA *NIM provides optimized AI models and runtime components in containers, simplifying integration of AI into applications. Developers can focus on their app without worrying about data prep, training, etc. *The Meta Llama 3 8B language model is now available as a…
Get ready for GPU-agnostic scaling with @LaminiAI! *Zero* code changes to run/tune LLMs on NVIDIA & AMD GPUs. Learn how 1M adapters are optimized on NVIDIA GPUs for Memory Tuning — Jensen said he was pleased 😃 ✍️ with @NVIDIAAI: https://t.co/5pIaqb1jxm https://t.co/CJshzFP8ET
