#ColossalAI

Say hello to Grok-1's new PyTorch+HuggingFace edition! 🚀 314 billion parameters, 3.8x faster inference. Easy to use, open-source, and optimized by Colossal-AI. 🤖 Dive in: #Grok1 #ColossalAI🌟 Download Now:

This week in AI... 🎨#ColossalAI accelerates AIGC ❄️#Snowpark for #Python is GA 😎New beta release of @nvidiaomniverse 🌊Microsoft researchers released Waveformer and more! Read the full newsletter: #AI #ML #DeepLearning #Research #AInews

Excited to announce that Prof. Yang You, founder of HPC-AI Tech, will be delivering a speech on the remarkable achievements of Colossal-AI in the AI infrastructure domain at NeurIPS. Join us for this insightful talk!🎉 #NeurIPS2023 #AIInfra #ColossalAI

🚀 Grok-1 just got faster! 314B parameters, now with a 3.8x inference boost via Colossal-AI's PyTorch+HuggingFace version. 🧠💡 Download & experience state-of-the-art AI: Link #AI #Grok1 #ColossalAI

Unlock 175 billion parameters with Colossal-AI's BLOOM model recipe. 4x reduction in GPU mem consumption & 10x reduction in hardware costs. Blog: GitHub: #ColossalAI #BLOOMmodel #DeepLearning

#ColossalAI released an #opensource out-of-the-box solution to replicate the #ChatGPT training process. It includes #ReinforcementLearning with Human Feedback implementation (RLHF), promises a faster training process and supports single and multi-#GPU training 🤯 #Python #PyTorch

🌟 Join us for a captivating talk panel on Colossal-AI: Breakthroughs in Efficient AI at ICML on July 23rd at 5 p.m. (Hawaii Time) 🚀 Professor James Demmel, HPC-AI Tech's CSO, will lead the discussion. Don't miss this eye-opening session! #AI #ICML #ColossalAI #Efficiency

HPC-AI Tech Raises $22M to Propel Expansion and Revolutionize AI Landscape #AI #artificialintelligence #ColossalAI #extensiveAImodels #GithubStars #growth #HPCAITech #Investment #llm #machinelearning #SeriesAfunding #Singapore

🥳#MMEngine Release v0.9.0! 🤗Support training large models with #ColossalAI @HPCAITech to maximize training speed and minimize GPU memory usage. 🤗Support multiple visualization backends, including NeptuneVisBackend, DVCLiveVisBackend and AimVisBackend. 👉

🧐Why codebase for training large models tends to use frameworks like #DeepSpeed or #ColossalAI, with scant regard for #PyTorch's native #FSDP. Is it not memory-efficient enough? Too slow for training? Read on, and I'm sure you'll gain some insights. #LLM

Upgrade training & inference with Colossal-AI's Stable Diffusion 2.0. Low-cost, efficient and reduced GPU mem consumption by 5.6x. Hardware costs reduced by 46x. Blog: GitHub: #ColossalAI #StableDiffusion2 #DeepLearning

🤖 Excitement is reaching its peak in the AI community as the International Conference on Machine Learning (ICML) draws near! 🚀 Colossal-AI is thrilled to be a key presenter at this prestigious event! 🎉 Join us on July 23rd in Honolulu, Hawai'i! 🌺 #ICML2023 #AI #ColossalAI

Exciting update! 😆Take a look at Open-Sora's video generation results! #Sora #ColossalAI #AI #OpenSora If you have more interesting ideas for video generation, welcome to to get model weights for free experience🥳

Colossal-AI's Stable Diffusion 2.0 recipe uses Flash Attention, increasing attention speed by 104% & reducing peak end-to-end training memory by 23%. Efficient for long sequence tasks. #ColossalAI #StableDiffusion2.0 #FlashAttention #DeepLearning

Maximize memory usage efficiency with Colossal-AI's Int8 quantization and model parallelism technique. Reduce overall memory footprint by 50% and memory per GPU to 23.2GB. Try it now: #ColossalAI #Int8Quantization #ModelParallelism #DeepLearning

Introducing ColossalAI Platform! 🌐 Revolutionizing large model training with efficiency and cost-effectiveness. 💡 Unleash the AI advantage! Join our tutorial to master industry-specific LLM training on ColossalAI. 🤖 🛠️🔗#AI #ColossalAI

Easily access Colossal-AI's memory optimizations for Stable Diffusion 2.0 with PyTorch Lightning. One line of code and you're ready to go! Try it now: #ColossalAI #PyTorchLightning #DeepLearning #StableDiffusion2.0