NVIDIA has highlighted the critical role of GPU memory and bandwidth in deploying large language model (LLM) applications using Retrieval-Augmented Generation (RAG) for high-performance inference at scale, particularly when using NVIDIA GH200 for accelerated performance in data centers and generative AI. Databricks revealed their six-month collaboration with NVIDIA to integrate TensorRT-LLM with their inference service, achieving state-of-the-art inference performance. MosaicML confirmed their contribution to delivering state-of-the-art performance for LLM inference in partnership with NVIDIA and Databricks. Naveen G Rao discussed the collaborative efforts, including the serving of Mixtral from MistralAI and the development of Mixture of Experts (MoE), which leverage NVIDIA's TRT-LLM for enhanced inference capabilities.
I'm sure everyone wants to read about @databricks/@MosaicML inference stack over the holidays, so here ya go! Serving Mixtral from @MistralAI and MoE (in the works for some time): https://t.co/CILKaynbne Collaborating w/@nvidia and building upon TRT-LLM for inference:…
I'm sure everyone wants to read about @databricks/@MosaicML inference stack over the holidays, so here ya go! Serving Mixtral from @MistralAI and MoE (in the works for some time): https://t.co/CILKaynbne Collaborating w/@nvidia and building upon it for inference:…
Consistent high performance for #LLM inference is now table stakes. See how we're delivering #SOTA performance with @nvidia @NVIDIAAI at @databricks https://t.co/KvH9OAIhUp
For the last six months, we've been collaborating with @nvidia to integrate TensorRT-LLM with our inference service, achieving state-of-the-art inference performance. Read how we did it together and how you can benefit from our collab👇 https://t.co/qteVwFqPKg
When deploying LLM applications using RAG, it’s essential to consider GPU memory and bandwidth to unlock high-performance inference at scale. Learn how deploying #RAG applications on NVIDIA GH200 delivers accelerated performance. #DataCenter #GenerativeAI https://t.co/BQed9vAG3b