{"adoption": {"forks": 152, "observed_at": "2026-08-28T04:03:54.007532+00:00", "stars": 1182}, "canonical_url": "https://ross.abutalabs.com/products/profile-data", "card": {"archived": false, "artifact_type": "dataset", "description": "Analyze computation-communication overlap in V3/R1.", "domain": ["large-language-models", "gpu-computing", "performance", "microservices", "deep-learning"], "enriched": true, "function": ["benchmarking", "monitoring", "gpu-computing", "llm-training", "llm-inference"], "health_score": 27, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "active", "member_repos": ["deepseek-ai/profile-data"], "name": "deepseek-ai/profile-data", "platform": ["python", "browser"], "pushed_at": "2025-03-21T02:23:51+00:00", "repo": "deepseek-ai/profile-data", "stars": 1182, "tags": ["profiling-data", "mixture-of-experts", "computation-communication-overlap", "pytorch-profiler", "dualpipe", "deepep", "chrome-tracing", "rdma", "gpu"], "topics": [], "urls": [], "use_cases": ["study how DeepSeek overlaps computation and communication in MoE training", "understand DualPipe forward-backward chunk overlap strategies", "analyze prefill and decode all-to-all communication patterns", "learn EP/TP parallelism configurations used in DeepSeek-V3 deployment", "visualize GPU kernel timelines for large-scale LLM training", "research low-level implementation details of MoE routing and RDMA communication"], "what_it_is": "A public release of PyTorch Profiler traces from DeepSeek's V3/R1 training and inference infrastructure, showing computation-communication overlap strategies for MoE workloads. The traces can be visualized in Chrome or Edge via chrome://tracing.", "when_to_avoid": ["you need runnable code rather than profiling data", "you want general-purpose GPU profiling tools rather than example traces", "you need profiling of non-MoE or small-scale workloads"], "when_to_choose": ["you are researching distributed LLM training or inference performance", "you want real-world profiling traces of MoE computation-communication overlap", "you are building or optimizing systems like DualPipe or DeepEP", "you need reference parallelism configurations (EP/TP) for large-scale training"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/profile-data", "repo": "deepseek-ai/profile-data", "role": "main", "score": 25}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:54.007532+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:24:47.338999+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c6e52994ad28a0ce2d717e036c9e0bb61ae3bf2905300981b025db3000503b4e", "fetched_at": "2026-08-28T04:03:54.007532+00:00", "kind": "readme", "missing": false, "url": "https://github.com/deepseek-ai/profile-data"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 12, "longevity": 39, "rhythm": 35}, "computed_at": "2026-09-03T02:39:23.370411+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 553, "days_push": 531, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 25, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}