NVIDIA AI Foundation Endpoints has announced LangChainAI connectors for deploying leading models, including Mixtral 8x7B, Llama 2, and Stable Diffusion for enterprise applications. The tutorial offers insights on deploying Mixtral-8x7B using Inferless, achieving 13.52 sec cold start performance and 14.78 tokens/sec on A100 GPUs. Users can access the connectors by installing langchain-nvidia-ai-endpoints and benchmark the multimodal models.
pip install langchain-nvidia-ai-endpoints https://t.co/ZLZUEgqfMr
pip install langchain-nvidia-ai-endpoints Super excited to try benchmarking these multimodal models! https://t.co/xVP6mUbu35 https://t.co/l7ZGgxIwV6 https://t.co/uvtGiCAUpX
Announcing @LangChainAI connectors for NVIDIA AI Foundation Endpoints - easily access, customize, and deploy leading models including Mixtral 8x7B, Llama 2, and Stable Diffusion for your enterprise applications. Visit https://t.co/1CQ5OyiyiO site to get started. https://t.co/ZDmvPjBEAd
Announcing @LangChainAI connectors for NVIDIA AI Foundation Endpoints - easily access, customize, and deploy leading models including Mixtral 8x7B, Llama 2, and Stable Diffusion for your enterprise applications. Visit https://t.co/ldKtOhBXhK to get started. https://t.co/17hYRSekeD
š Explore our tutorial on deploying Mixtral-8x7B using Inferless! š ā” Experience performance of 13.52 sec cold start and 14.78 tokens/sec on A100 GPUs. š This guide offers insights on using the AutoGPTQ library, and detailed steps for deploying models on Inferless.ā¦ https://t.co/lZrhjSJTXh