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Colossal-AI

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DataFunSummit
DataFunSummit
Dec 30, 2024 · Artificial Intelligence

Colossal-AI: A Scalable Framework for Distributed Training of Large Models

This presentation introduces the challenges of the large‑model era, describes the Colossal‑AI architecture—including N‑dimensional parallelism, heterogeneous storage, and zero‑code experience—shows benchmark results and real‑world use cases, and answers audience questions about its integration with PyTorch and advanced parallel strategies.

AI infrastructureColossal-AILarge Models
0 likes · 11 min read
Colossal-AI: A Scalable Framework for Distributed Training of Large Models
DataFunSummit
DataFunSummit
Jan 22, 2024 · Artificial Intelligence

Improving Efficiency of Large‑Scale AI Model Training, Fine‑tuning, and Deployment with Colossal‑AI

This article introduces Colossal‑AI, an open‑source platform that tackles the challenges of training, fine‑tuning, and deploying massive AI models by leveraging efficient memory management, N‑dimensional parallelism, and high‑performance inference to dramatically reduce cost and improve scalability across thousands of GPUs.

AI infrastructureColossal-AILarge Models
0 likes · 21 min read
Improving Efficiency of Large‑Scale AI Model Training, Fine‑tuning, and Deployment with Colossal‑AI
DataFunTalk
DataFunTalk
Feb 20, 2023 · Artificial Intelligence

Low‑Cost Open‑Source Replication of ChatGPT Using Colossal‑AI

This article explains how researchers reproduced the full ChatGPT training pipeline—including supervised fine‑tuning, reward‑model training, and RLHF—using the open‑source Colossal‑AI system, dramatically reducing GPU memory and hardware requirements while providing ready‑to‑run code and performance benchmarks.

AI optimizationChatGPTColossal-AI
0 likes · 10 min read
Low‑Cost Open‑Source Replication of ChatGPT Using Colossal‑AI