View profile for Naomi Nour
Naomi Nour

Microsoft has made it possible to 𝗿𝘂𝗻 𝗹𝗮𝗿𝗴𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗻 𝗖𝗣𝗨𝘀 (not just GPUs) with 𝗕𝗶𝘁𝗡𝗲𝘁, its 1-bit inference framework that delivers multi-fold speedups and significant energy savings. BitNet (bitnet.cpp) is designed for fast inference of 1.58-bit models on both CPUs and GPUs. It achieves up to 𝘀𝗶𝘅 𝘁𝗶𝗺𝗲𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 and reduces energy use by as much as 𝟴𝟬%. Impressively, it can even run a 100-billion-parameter model on a single CPU at near human reading speeds. BitNet marks an important step toward more efficient and accessible AI. It shows that high-performance language models can run effectively on local or edge devices, without the need for heavy GPU infrastructure.  👉 Check it out here: https://lnkd.in/eSe2eQBb #AI #ArtificialIntelligence #DeepLearning #GenerativeAI #LLM #LargeLanguageModels #CPUComputing #GPUs #BitNet #MicrosoftAI #AIOptimization

Brian R.

2mo

After I purchased an RTX 4090 🫠

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Naomi Nour

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