{"data":{"node":{"slug":"hpcaitech-colossalai","name":"ColossalAI","tagline":"Making large AI models cheaper, faster and more accessible","github_url":"https://github.com/hpcaitech/ColossalAI","owner":"hpcaitech","repo":"ColossalAI","owner_avatar_url":"https://avatars.githubusercontent.com/u/88699314?v=4","primary_language":"Python","stars":41443,"forks":4496,"topics":["ai","big-model","data-parallelism","deep-learning","distributed-computing","foundation-models","heterogeneous-training","hpc","inference","large-scale","model-parallelism","pipeline-parallelism"],"archived":false,"github_pushed_at":"2026-08-31T17:52:00+00:00","maintenance_label":"Very active","stars_delta_30d":11,"url":"https://www.graphcanon.com/tools/hpcaitech-colossalai","markdown_url":"https://www.graphcanon.com/tools/hpcaitech-colossalai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hpcaitech-colossalai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hpcaitech-colossalai"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"big-model","name":"big model"},{"slug":"data-parallelism","name":"data-parallelism"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"distributed-computing","name":"distributed-computing"},{"slug":"foundation-models","name":"foundation models"},{"slug":"heterogeneous-training","name":"heterogeneous-training"},{"slug":"large-scale","name":"large-scale"}],"edges":[],"neighbours":[{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","tagline":"Deep learning optimization library for efficient distributed training and inference","github_url":"https://github.com/deepspeedai/DeepSpeed","owner":"deepspeedai","repo":"DeepSpeed","owner_avatar_url":"https://avatars.githubusercontent.com/u/74068820?v=4","primary_language":"Python","stars":43065,"forks":4963,"topics":["billion-parameters","compression","data-parallelism","deep-learning","gpu","inference","machine-learning","mixture-of-experts","model-parallelism","pipeline-parallelism","pytorch","trillion-parameters","zero"],"archived":false,"github_pushed_at":"2026-09-06T16:52:55+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/deepspeedai-deepspeed","markdown_url":"https://www.graphcanon.com/tools/deepspeedai-deepspeed.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepspeedai-deepspeed","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepspeedai-deepspeed","shared_categories":["model-training","inference-serving"]}]}}