HPC AI Tech

🌐 Exciting News! 🚀 Colossal-AI is thrilled to be a sponsor for ! 🤖 Join us at our virtual booth on GatherTown to explore the latest in AI, chat with our team, and discover career opportunities!
https://eu1.hubs.ly/H06y6N20

🎙 Exciting Announcement! Join us at the AIMX Asia Forum for a talk on "Efficient Solutions for Large Language Models: Saving Costs and Accelerating Progress" and the following round table forum presented by the esteemed Professor Yang You. Do visit our booth at A03 on 31 Oct!
https://eu1.hubs.ly/H05ZPQ_0

Thrilled to join IMDA's Tech Sharing Session where Prof. Yang You shared insights on "Efficient Techniques for Super-Large AI Models Training and Deployment". Our Colossal-AI System and Platform, for on-premises and cloud, sparked engaging discussions. Thanks to organizers and the dynamic audience! 🚀

One half-day of training using a few hundred dollars yields similar results to mainstream large models, open-source and commercial-free domain-specific LLM solution https://eu1.hubs.ly/H05wdz20🚀 Colossal-AI: Masters of Efficiency in Large Models! 💡
0.0085T tokens, 15 hours, a few hundred dollars = High-Performance Chinese Colossal-LLaMA-2!
Outshining the competition in English too! 🌏🗣️
Open-source, transparent, and ready for replication. 🌐
Economical large models for all domains! 🌟

One half-day of training using a few hundred dollars yields similar results to mainstream large models, open-source and commercial-free domain-specific LLM solution A lightweight process for constructing domain-specific LLM in any field at low cost.

Thrilled to share the news that Prof. Yang You will grace us with his insights at 's upcoming Technical Sharing Session on September 29, 2023! Join us as we delve into cutting-edge strategies for training and deploying Super-Large AI Models. Don't miss out!👍
Register here now: https://eu1.hubs.ly/H05syMl0

⚡ Exciting times ahead! ⚡ LuxProvide and HPC AI Tech are teaming up to take Supercomputing and AI to new heights. 🔗 Partnering for power, LuxProvide's SuperComputer meets HPC AI Tech's Colossal-AI solutions and cutting-edge cloud platform. 🚀
LuxProvide and HPC-AI Tech Join Forces to Revolutionize AI with SuperComputer and Colossal-AI Solutions

LuxProvide and HPC-AI Tech Join Forces to Revolutionize AI with SuperComputer and Colossal-AI Solutions The collaboration of HPC AI Tech and LuxProvide aims to harmonize LuxProvide's SuperComputer with HPC AI Tech's Colossal-AI solution and cloud platform.

🤩Unlock 195% faster 70B parameter training on 8-512 GPUs! Slashing large model costs and mastering pre-training + fine-tuning + inference! Enter Colossal-AI, the ultimate hub for large model tools and a cost-effective AI cloud platform.🌐
70 billion parameter LLaMA2 model training accelerated by 195% with best foundation model practice upgraded

70 billion parameter LLaMA2 model training accelerated by 195% with best foundation model practice upgraded Colossal-AI provides revolutionary LLaMA2 training efficiency for 8 to 512 GPUs, fine-tuning, and inference solutions.

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. 🤖 From setup to deployment, conquer AI challenges with us. 🛠️🔗

Fine-tuning Private GPT using Colossal-AI's Cloud Platform In this tutorial, we will guide you through the process of training or fine-tuning an industry-specific LLM using our ColossalAI Platform.

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. Being a leading summit, NeurIPS attracts key players from the industry. Notably, Colossal-AI has been included in the official tutorial. Join us for this insightful talk! 🎉https://eu1.hubs.ly/H055kzb0

Exciting times for ! The colossal-AI team had the honor to join Singapore's GAIR 2023. Founder & Chairman, You Yang, delivered an inspiring keynote and engaged in a thought-provoking panel discussion, which has received overwhelming enthusiasm and response.

Colossal-AI Platform debuted at ICML as an enterprise-grade solution aligning with AI needs. The Platform combines cost-effective acceleration tech with computing resources.

Colossal-AI Platform made its debut at ICML, ushering in a new era of large-scale model training Colossal-AI Platform debuted at ICML as an enterprise-grade solution aligning with AI needs. The Platform combines cost-effective acceleration tech with computing resources.

For those attending our Colossal-AI tutorial at on Feb 8th: Get a head start and read our research paper "Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training": https://eu1.hubs.ly/H02Mbx00. See you at the tutorial or at our booth #121.

Research Papers about High-Performance Computing Find the latest research papers written by our team on how to optimize and accelerate AI workloads using High-Performance Computing.

Effortlessly manage distributed clusters with Colossal-AI's device-mesh and shape-consistency system. Seamlessly slice and dice tensors without worrying about storage status. https://eu1.hubs.ly/H02CVHC0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Join us tomorrow for the tutorial "Large-Scale Deep Learning Optimization Techniques" by our Chief Strategy Officer Prof. James Demmel and our co-founder Prof. Yang You at Conference! It starts at 2:00 pm. https://eu1.hubs.ly/H02J9530

Join the Colossal-AI Team at its Tutorials and Booth at the AAAI Conference We'll present tutorials about Colossal-AI and deep learning and have a booth at AAAI 2023 in Washington, D.C. February 7-14, 2023.

Get ready to scale your models to new heights with our Colossal-AI system at our tutorial on Wed, Feb 8, 2023 from 8:30 am to 12:30 pm at Conference. Learn about automatic parallelism, instant distributed processing, and more.

Join the Colossal-AI Team at its Tutorials and Booth at the AAAI Conference We'll present tutorials about Colossal-AI and deep learning and have a booth at AAAI 2023 in Washington, D.C. February 7-14, 2023.

Learn about the latest strategies for scaling models and addressing communication overhead, memory footprints and generalization gap with two presenters from our leadership team at Conference on Tue, Feb 7, 2023 from 2:00 pm to 6:00 pm.

Join the Colossal-AI Team at its Tutorials and Booth at the AAAI Conference We'll present tutorials about Colossal-AI and deep learning and have a booth at AAAI 2023 in Washington, D.C. February 7-14, 2023.

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: https://eu1.hubs.ly/H02CR1h0 .0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Learn more about our optimization library Colossal-AI at the upcoming Conference. It speeds up and scales training, inference, and fine-tuning. Join our tutorial at Feb 8th and find us at booth #121.

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Fine-tune parallelism strategies with Colossal-AI's auto-parallelism. Search for the fastest runtime while meeting memory budget constraints. Try it now: https://eu1.hubs.ly/H02CVHs0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Any attendees out there who already tried our Colossal-AI project for distributed development and deployment of models? What do you think? Please let us know at booth #121. https://eu1.hubs.ly/H02J97V0

Colossal-AI - A Unified Deep Learning System for Large-Scale Parallel Training A unified deep learning system designed to train large-scale models efficientlywith tensor, model and pipeline parallelism as well as heterogeneous computingto speed up the training process of increasingly large models for the machine learning community

Colossal-AI leads the way in auto-parallelism with its static graph analysis based on PyTorch. Our parallel computation system leverages ColoTracer to guide the search for optimal parallelization strategy. https://eu1.hubs.ly/H02Hj7-0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Hi attendees! Check out our video about the scientific background of how we accelerate training and inference by more than 10x with our project Colossal-AI. Find out more at our booth ( #121).

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

Maximize memory efficiency for .0 training with Colossal-AI's Zero Redundancy Optimizer (ZeRO) and chunk-based memory management. Try it now: https://eu1.hubs.ly/H02CQ_90

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Don't miss out on the opportunity to learn from our co-founder Prof. Yang You and Chief Strategy Officer Prof. James Demmel at the upcoming Conference. They will be leading two tutorials on the latest research in .

Join the Colossal-AI Team at its Tutorials and Booth at the AAAI Conference We'll present tutorials about Colossal-AI and deep learning and have a booth at AAAI 2023 in Washington, D.C. February 7-14, 2023.

Exciting news! We are a gold sponsor and will be exhibiting at the upcoming Conference in Washington, D.C. Come by booth #121 to meet our team and learn about our research and product. We'll also present 2 tutorials.

Join the Colossal-AI Team at its Tutorials and Booth at the AAAI Conference We'll present tutorials about Colossal-AI and deep learning and have a booth at AAAI 2023 in Washington, D.C. February 7-14, 2023.

Colossal-AI's Stable Diffusion 2.0 recipe uses Flash Attention technology, increasing attention speed by 104% & reducing peak end-to-end training memory by 23%. Efficient for long sequence tasks. Learn more: https://eu1.hubs.ly/H02HgLZ0 .0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Simplify distributed training with Colossal-AI's automatic parallelism system. No manual configuration needed, just one line of code. Optimizes parallel strategies for optimal performance. https://eu1.hubs.ly/H02CVJ-0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Easily navigate distributed training with Colossal-AI's automatic parallelism. One line of code, popular AI libraries supported. Try it now: https://eu1.hubs.ly/H02CQhr0

Hardware Savings Up to 46 Times for AIGC and Automatic Parallelism in New Colossal-AI Release Colossal-AI's new release reduces Stable Diffusion memory consumption by up to 5.6x and hardware cost by up to 46x. Also, it ships with one-line auto-parallelism, improving ease of use for developers.

Deploy large-scale machine learning models with ease using Colossal-AI's one-line auto-parallelism system. No expert knowledge required. Integrates with popular AI frameworks like Hugging Face.
Blog: https://eu1.hubs.ly/H02DMBj0
GitHub: https://github.com/hpcaitech/ColossalAI

GitHub - hpcaitech/ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era Colossal-AI: A Unified Deep Learning System for Big Model Era - GitHub - hpcaitech/ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era

Unlock 175 billion parameters with Colossal-AI's BLOOM model recipe. 4x reduction in GPU mem consumption & 10x reduction in hardware costs.
Blog: https://eu1.hubs.ly/H02DMzq0
GitHub: https://eu1.hubs.ly/H02DL990

GitHub - hpcaitech/ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era Colossal-AI: A Unified Deep Learning System for Big Model Era - GitHub - hpcaitech/ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era