I love to learn and share the amazing hardware and services being built to enable Artificial Intelligence, the next big thing in technology.
Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this?
The timing is spot-on as investors grow nervous that it may be hard for enterprises to make a good return on their AI investments. And without Enterprise adoption, AI will fail and we will be back to an AI Winter. To counter that narrative, Nvidia is expected to share Enterprise ROI stories during its next earnings call. And the new AI Foundry coupled with NIMs could become the standard path forward for most companies.
And true to form, Nvidia shows that it can increased performance of models like Llama 3.1 with optimized NIMs. Inferencing solutions like NVIDIA TensorRT-LLM improve efficiency for Llama 3.1 models to minimize latency and maximize throughput, enabling enterprises to generate tokens faster while reducing total cost of running the models in production.
“NeMo Retriever provides the best of both worlds. By casting a wide net of data to be retrieved with an embedding NIM, then using a reranking NIM to trim the results for relevancy, developers tapping NeMo Retriever can build a pipeline that ensures the most helpful, accurate results for their enterprise,” Nvidia explained in their blog.Perhaps an example would help. Suppose you want to build a digital assistant to help patients with personalized information.
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