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Tuesday, April 16, 2024

Google’s Gemma Optimized Throughout All NVIDIA AI Platforms



NVIDIA, in collaboration with Google, right this moment launched optimizations throughout all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new light-weight 2 billion– and 7 billion-parameter open language fashions that may be run wherever, lowering prices and rushing progressive work for domain-specific use circumstances.

Groups from the businesses labored intently collectively to speed up the efficiency of Gemma — constructed from the identical analysis and expertise used to create the Gemini fashions — with NVIDIA TensorRT-LLM, an open-source library for optimizing massive language mannequin inference, when operating on NVIDIA GPUs within the information middle, within the cloud and on PCs with NVIDIA RTX GPUs.

This permits builders to focus on the put in base of over 100 million NVIDIA RTX GPUs out there in high-performance AI PCs globally.

Builders can even run Gemma on NVIDIA GPUs within the cloud, together with on Google Cloud’s A3 situations based mostly on the H100 Tensor Core GPU and shortly, NVIDIA’s H200 Tensor Core GPUs — that includes 141GB of HBM3e reminiscence at 4.eight terabytes per second — which Google will deploy this 12 months.

Enterprise builders can moreover make the most of NVIDIA’s wealthy ecosystem of instruments — together with NVIDIA AI Enterprise with the NeMo framework and TensorRT-LLM — to fine-tune Gemma and deploy the optimized mannequin of their manufacturing utility.

Be taught extra about how TensorRT-LLM is revving up inference for Gemma, together with extra info for builders. This contains a number of mannequin checkpoints of Gemma and the FP8-quantized model of the mannequin, all optimized with TensorRT-LLM.

Expertise Gemma 2B and Gemma 7B instantly out of your browser on the NVIDIA AI Playground.

Gemma Coming to Chat With RTX

Including assist for Gemma quickly is Chat with RTX, an NVIDIA tech demo that makes use of retrieval-augmented era and TensorRT-LLM software program to present customers generative AI capabilities on their native, RTX-powered Home windows PCs.

The Chat with RTX lets customers personalize a chatbot with their very own information by simply connecting native recordsdata on a PC to a big language mannequin.

Because the mannequin runs regionally, it offers outcomes quick, and person information stays on the machine. Relatively than counting on cloud-based LLM providers, Chat with RTX lets customers course of delicate information on an area PC with out the necessity to share it with a 3rd social gathering or have an web connection.

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