Gemma 2 on Vertex AI
Gemma 2 offers top performance, rapid hardware compatibility, and easy AI tool integration
Google unveiled the Gemma family of lightweight, cutting-edge open models earlier this year
With CodeGemma, RecurrentGemma, and PaliGemma all of which offer special capabilities for various AI jobs
Google is now formally making Gemma 2 available to academics and developers throughout the world
Gemma 2 exceeds the first generation in inference performance and efficiency in parameter sizes of 9 billion (9B) and 27 billion (27B)
And that can now be accomplished on a single NVIDIA H100 Tensor Core GPU or TPU host, greatly lowering the cost of deployment
Gemma 2 (27B) offers competitive alternatives to models over twice its size and is the best performing model in its size class
9B Gemma 2 model outperforms other open models in its size group and the Llama 3 8B, delivering class-leading performance
Google Cloud TPU host, NVIDIA A100 80GB Tensor Core GPU, or NVIDIA H100 Tensor Core GPU, the 27B Gemma 2 model offers a cost-effective solution
Gemma 2 runs swiftly on powerful gaming laptops, high-end desktops, and cloud-based settings
Gemma is optimised using NVIDIA TensorRT-LLM to operate as an NVIDIA NIM inference microservice or on NVIDIA-accelerated infrastructure
Google Cloud users will be able to quickly and simply install and maintain Gemma 2 on Vertex AI as of next month
With Gemma 2, developers may now launch even more ambitious projects and unleash the full potential and performance of their AI creations
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