Tag: inference efficiency
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Cloud Blog: How much energy does Google’s AI use? We did the math
Source URL: https://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference/ Source: Cloud Blog Title: How much energy does Google’s AI use? We did the math Feedly Summary: AI is unlocking scientific breakthroughs, improving healthcare and education, and could add trillions to the global economy. Understanding AI’s footprint is crucial, yet thorough data on the energy and environmental impact of AI inference —…
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The Register: How to run OpenAI’s new gpt-oss-20b LLM on your computer
Source URL: https://www.theregister.com/2025/08/07/run_openai_gpt_oss_locally/ Source: The Register Title: How to run OpenAI’s new gpt-oss-20b LLM on your computer Feedly Summary: All you need is 24GB of RAM, and unless you have a GPU with its own VRAM quite a lot of patience Hands On Earlier this week, OpenAI released two popular open-weight models, both named gpt-oss.…
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The Register: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle
Source URL: https://www.theregister.com/2025/02/10/cloudflare_q4_2024_ai_web/ Source: The Register Title: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle Feedly Summary: Also claims it’s found DeepSeek-eque optimizations that reduce AI infrastructure requirements Cloudflare has declared it’s found optimizations that reduce the amount of hardware needed for inferencing workloads, and is in…
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OpenAI : Trading inference-time compute for adversarial robustness
Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…
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Hacker News: Apple collaborates with Nvidia to research faster LLM performance
Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…
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Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust
Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…