{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Repo: NVIDIA/TileGym","description":"NVIDIA repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/fac82ad1-c2c1-4638-b34f-567feb3f0442","json_url":"https://onlylabs.fyi/signals/fac82ad1-c2c1-4638-b34f-567feb3f0442/signal.json","generated_at":"2026-06-11T03:55:56.548234+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/fac82ad1-c2c1-4638-b34f-567feb3f0442","signal_json":"https://onlylabs.fyi/signals/fac82ad1-c2c1-4638-b34f-567feb3f0442/signal.json","source":"https://github.com/NVIDIA/TileGym","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"NVIDIA published NVIDIA/TileGym (Python). 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All rights reserved. ---> <!--- SPDX-License-Identifier: MIT ---> English | [简体中文](README_chs.md) | [繁體中文](README_cht.md) | [日本語](README_ja.md) | [Français](README_fr.md) TileGym TileGym is a CUDA Tile kernel library that provides a rich collection of kernel tutorials and examples for tile-based GPU programming. [**Overview**](#overview) | [**Features**](#features) | [**Installation**](#installation) | [**Quick Start**](#quick-start) | [**Contributing**](#contributing) | [**License**](#license-and-third-party-notices) Overview This repository aims to provide helpful kernel tutorials and examples for tile-based GPU programming. TileGym is a playground for experimenting with CUDA Tile, where you can learn how to build efficient GPU kernels and explore their integration into real-world large language models such as..."},"evidence_pages":[{"url":"https://github.com/NVIDIA/TileGym","final_url":"https://github.com/NVIDIA/TileGym","title":"NVIDIA/TileGym repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:55:56.548234+00:00","bytes":13137,"raw_path":"2304375faf0b705308ac653da918450422f70b8b550a2a3b3e40063d0c941c43.json","content_hash":"9631e29d5db756d3fdcb406d30667425838806b1525483a922941fd5209a3968","excerpt_chars":1200,"truncated":true,"excerpt":"NVIDIA/TileGym Description: Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming Language: Python License: NOASSERTION Stars: 749 Forks: 72 Open issues: 7 Created: 2025-11-13T07:21:50Z Pushed: 2026-06-10T13:24:27Z Default branch: main Fork: no Archived: no README: <!--- SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. ---> <!--- SPDX-License-Identifier: MIT ---> English | [简体中文](README_chs.md) | [繁體中文](README_cht.md) | [日本語](README_ja.md) | [Français](README_fr.md) TileGym TileGym is a CUDA Tile kernel library that provides a rich collection of kernel tutorials and examples for tile-based GPU programming. [**Overview**](#overview) | [**Features**](#features) | [**Installation**](#installation) | [**Quick Start**](#quick-start) | [**Contributing**](#contributing) | [**License**](#license-and-third-party-notices) Overview This repository aims to provide helpful kernel tutorials and examples for tile-based GPU programming. 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