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William Hill

As seen in: MSN UK, The Daily Mirror, The Washington Post, Daily Express, Daily Star (UK), New York Post, Goal, The Toronto Star, Scottish Daily Record, talkSPORT and
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Articles

Achieving High Mixtral 8x7B Performance with NVIDIA H100 Tensor Core GPUs and TensorRT-LLM

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By Ashraf Eassa, Nick Comly, William Hill, Grace Ho
| NVIDIA Developer Blog
As large language models (LLMs) continue to grow in size and complexity, the performance requirements for serving them quickly and cost-effectively continue to grow. To deliver high LLM inference performance, an efficient parallel computing architecture and a flexible and highly-optimized software stack are required.
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Supercharge Generative AI Development with Firebase Genkit, Optimized by NVIDIA RTX GPUs

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By Ankit Patel, Mitesh Patel, William Hill
| NVIDIA Developer Blog
At Google I/O 2024, Google announced Firebase Genkit, a new open-source framework for developers to add generative AI to web and mobile applications using models like Google Gemini, Google Gemma. With Firebase Genkit, you can build apps that integrate intelligent agents, automate customer support, use semantic search, and convert unstructured data into insights. Genkit also includes a developer UI that enables you to prototype, develop, and test AI features in your local developer environment.
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NVIDIA TensorRT 10.0 Upgrades Usability, Performance, and AI Model Support

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By William Hill, Nick Comly
| NVIDIA Developer Blog
NVIDIA today announced the latest release of NVIDIA TensorRT, an ecosystem of APIs for high-performance deep learning inference. TensorRT includes inference runtimes and model optimizations that deliver low latency and high throughput for production applications. This post outlines the key features and upgrades of this release, including easier installation, increased usability, improved performance, and more natively supported AI models.
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