{"schema_version":"onlylabs.public_signal.v1","title":"CoreWeave Repo: coreweave/tensorizer","description":"CoreWeave repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a","json_url":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a/signal.json","generated_at":"2026-06-11T04:10:42.699236+00:00","org":{"slug":"coreweave","name":"CoreWeave","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/coreweave","dossier_json_url":"https://onlylabs.fyi/labs/coreweave/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a","signal_json":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a/signal.json","source":"https://github.com/coreweave/tensorizer","lab_dossier":"https://onlylabs.fyi/labs/coreweave","lab_dossier_json":"https://onlylabs.fyi/labs/coreweave/dossier.json","analysis":"https://onlylabs.fyi/analysis/coreweave","analysis_json":"https://onlylabs.fyi/analysis/coreweave/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/coreweave/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"CoreWeave published coreweave/tensorizer (Python). 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo coreweave/tensorizer · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"CoreWeave","predicate":"published repo","object":"coreweave/tensorizer","text":"CoreWeave published repo coreweave/tensorizer."},{"subject":"coreweave/tensorizer","predicate":"is classified as","object":"repo signal","text":"coreweave/tensorizer is classified as repo signal."},{"subject":"coreweave/tensorizer","predicate":"belongs to","object":"repos desk","text":"coreweave/tensorizer belongs to repos desk."},{"subject":"coreweave/tensorizer","predicate":"has context","object":"Python","text":"coreweave/tensorizer has context Python."},{"subject":"coreweave/tensorizer","predicate":"has evidence coverage","object":"1 captured evidence page","text":"coreweave/tensorizer has evidence coverage 1 captured evidence page."}]},"signal":{"id":"b074c4a2-b609-47f6-bd0b-c00b0d60319a","url":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a","json_url":"https://onlylabs.fyi/signals/b074c4a2-b609-47f6-bd0b-c00b0d60319a/signal.json","source_url":"https://github.com/coreweave/tensorizer","title":"coreweave/tensorizer","summary":"CoreWeave published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"coreweave","name":"CoreWeave","category":"neocloud"},"occurred_at":"2022-10-25T22:28:23+00:00","first_seen_at":"2026-06-05T05:43:02.359092+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/coreweave/tensorizer"]},"facets":{"repo":"coreweave/tensorizer","language":"Python"},"traction":{"github_stars":313,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/coreweave/tensorizer","final_url":"https://github.com/coreweave/tensorizer","title":"coreweave/tensorizer repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:10:42.699236+00:00","bytes":47647,"raw_path":"c0327f1fc14ac47aad96504ce2979fca06b004fc2f9d216249f4c5deb0311343.json","content_hash":"b0ea0b9662f2b161f9b8fcadd0eb2682b8395c18cb320cb82fbc53d0c1ba6729","excerpt_chars":1200,"truncated":true,"excerpt":"coreweave/tensorizer Description: Module, Model, and Tensor Serialization/Deserialization Language: Python License: MIT Stars: 313 Forks: 52 Open issues: 47 Created: 2022-10-25T22:28:23Z Pushed: 2026-04-30T04:23:57Z Default branch: main Fork: no Archived: no README: tensorizer Module, Model, and Tensor Serialization/Deserialization TLDR Extremely fast model loads from HTTP/HTTPS, Redis, and S3 endpoints. GPT-J (`20GB`) loads at wire-speed (`~5GB/s`) on a 40GbE network, and is only bottlenecked by the Linux kernel TCP stack. Rationale CoreWeave and our customers use KNative to deploy models as serverless functions. How long a model takes to load is a major factor in the latency of KNative scale-up. `tensorizer` is a tool to serialize models and their associated tensors into a single file that can be loaded quickly and efficiently off an HTTP/HTTPS or S3 endpoint. By not embedding the model in the container image, we can reduce the container image size and the time it takes to load the model. This is especially important for models that are large in size, such as [EleutherAI/gpt-neox-20B](https://huggingface.co/EleutherAI/gpt-neox-20B) that weighs in at `~40GB`. This decoupling of..."},"evidence_pages":[{"url":"https://github.com/coreweave/tensorizer","final_url":"https://github.com/coreweave/tensorizer","title":"coreweave/tensorizer repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:10:42.699236+00:00","bytes":47647,"raw_path":"c0327f1fc14ac47aad96504ce2979fca06b004fc2f9d216249f4c5deb0311343.json","content_hash":"b0ea0b9662f2b161f9b8fcadd0eb2682b8395c18cb320cb82fbc53d0c1ba6729","excerpt_chars":1200,"truncated":true,"excerpt":"coreweave/tensorizer Description: Module, Model, and Tensor Serialization/Deserialization Language: Python License: MIT Stars: 313 Forks: 52 Open issues: 47 Created: 2022-10-25T22:28:23Z Pushed: 2026-04-30T04:23:57Z Default branch: main Fork: no Archived: no README: tensorizer Module, Model, and Tensor Serialization/Deserialization TLDR Extremely fast model loads from HTTP/HTTPS, Redis, and S3 endpoints. GPT-J (`20GB`) loads at wire-speed (`~5GB/s`) on a 40GbE network, and is only bottlenecked by the Linux kernel TCP stack. Rationale CoreWeave and our customers use KNative to deploy models as serverless functions. How long a model takes to load is a major factor in the latency of KNative scale-up. `tensorizer` is a tool to serialize models and their associated tensors into a single file that can be loaded quickly and efficiently off an HTTP/HTTPS or S3 endpoint. By not embedding the model in the container image, we can reduce the container image size and the time it takes to load the model. This is especially important for models that are large in size, such as [EleutherAI/gpt-neox-20B](https://huggingface.co/EleutherAI/gpt-neox-20B) that weighs in at `~40GB`. 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