tenstorrent/tt-metal
Jun 2025 – Oct 2025
5 Months active
Languages Used
C++PythonShellYAMLJSONJavaScriptUnknown
Technical Skills
Algorithm DesignC++ developmentCI/CDData AnalysisData StructuresData Validation
Ambrose Ling
PROFILE
Ambrose Ling
Over five months, contributed to the tenstorrent/tt-metal repository by building and optimizing core infrastructure for model benchmarking, CI/CD reliability, and large-scale deep learning workflows. Focused on modularizing attention mechanisms, stabilizing performance targets, and automating test pipelines, the work enabled robust evaluation of models like Llama 8b and Qwen3-32B. Leveraged Python, C++, and PyTorch to implement API integrations, performance profiling, and distributed system enhancements. Addressed reliability through upstream testing, hang fixes, and output format stabilization, while expanding automated coverage for new hardware targets. This approach improved deployment stability, accelerated iteration cycles, and ensured consistent, data-driven model evaluation across releases.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
133Total
Bugs
37
Commits
133
Features
53
Lines of code
20,752
Activity Months5
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Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Portfolio: tt-metal (tenstorrent/tt-metal) Summary: Focused on strengthening CI/CD reliability and test coverage for tt-metal, enabling safer experimentation with larger Llama 8b model deployments on BH multicard demos. Delivered targeted CI workflow enhancements, expanded automated tests for TP=8 Llama 8b, and clarified model nomenclature by renaming RB to LB in vLLM CI. No distinct bug fixes documented this month; the work reduced risk, improved feedback loops, and set the stage for more rapid iterations on performance and stability.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Portfolio: tt-metal (tenstorrent/tt-metal) Summary: Focused on strengthening CI/CD reliability and test coverage for tt-metal, enabling safer experimentation with larger Llama 8b model deployments on BH multicard demos. Delivered targeted CI workflow enhancements, expanded automated tests for TP=8 Llama 8b, and clarified model nomenclature by renaming RB to LB in vLLM CI. No distinct bug fixes documented this month; the work reduced risk, improved feedback loops, and set the stage for more rapid iterations on performance and stability.
October 2025
September 2025
24 Commits • 14 Features
Sep 1, 2025September 2025 TT-Metal monthly summary focusing on business value and technical milestones. This period emphasized reliability, performance, and automation across the repository, enabling more stable evaluation cycles, faster iteration, and clearer tracing for benchmarking and demos.
September 2025
24 Commits • 14 Features
Sep 1, 2025September 2025 TT-Metal monthly summary focusing on business value and technical milestones. This period emphasized reliability, performance, and automation across the repository, enabling more stable evaluation cycles, faster iteration, and clearer tracing for benchmarking and demos.
August 2025
40 Commits • 16 Features
Aug 1, 2025Month: 2025-08 Key features delivered: - Upstream tests for BH-Deskbox and RackBox (#25700) with two commits to enable CI coverage for upstream testing - SDPA Optimizations: Add mask fusion (#25916) - Add perf targets for Deskbox and Rackbox - Add targets for Qwen3-32B - Mesh Graph Descriptor support for P150x8, Health Checks for P150x2, and Update TTT for supporting P150x8 (#25838) - vLLM integration for Deskbox and Rackbox Llama8b DP=2/8 on CI (#26560) Major bugs fixed: - ND hang fix on PCC check for 6u caused by SDPA (#26497) - General hang fixes - Deterministic hang on FlashMLA and SDPA unit tests (#26605) - Missing comma syntax fix - Remove RB VLLM from CI (#27170) - Fix targets for all gather concat and TTFT (minor, stability) - Fix target APC for TG demo; Fix perf targets for 4u and 6u model perf and op perf TG llama; Fix long prompt evals hang; Fix tensor accessor Overall impact and accomplishments: - Improved reliability and stability of SDPA-related tests, reduced hangs, and stabilized CI. - Expanded model support (Qwen3-32B, Llama8b) with performance benchmarking targets. - Enhanced test coverage and maintainability via upstream tests, mesh descriptor support, vLLM CI integration, and code hygiene. Technologies/skills demonstrated: - Upstream testing, CI/CD improvements, SDPA optimization, Tensor Accessor usage, mesh graph descriptor integration, vLLM integration, performance benchmarking, and code cleanup.
40 Commits • 16 Features
Aug 1, 2025Month: 2025-08 Key features delivered: - Upstream tests for BH-Deskbox and RackBox (#25700) with two commits to enable CI coverage for upstream testing - SDPA Optimizations: Add mask fusion (#25916) - Add perf targets for Deskbox and Rackbox - Add targets for Qwen3-32B - Mesh Graph Descriptor support for P150x8, Health Checks for P150x2, and Update TTT for supporting P150x8 (#25838) - vLLM integration for Deskbox and Rackbox Llama8b DP=2/8 on CI (#26560) Major bugs fixed: - ND hang fix on PCC check for 6u caused by SDPA (#26497) - General hang fixes - Deterministic hang on FlashMLA and SDPA unit tests (#26605) - Missing comma syntax fix - Remove RB VLLM from CI (#27170) - Fix targets for all gather concat and TTFT (minor, stability) - Fix target APC for TG demo; Fix perf targets for 4u and 6u model perf and op perf TG llama; Fix long prompt evals hang; Fix tensor accessor Overall impact and accomplishments: - Improved reliability and stability of SDPA-related tests, reduced hangs, and stabilized CI. - Expanded model support (Qwen3-32B, Llama8b) with performance benchmarking targets. - Enhanced test coverage and maintainability via upstream tests, mesh descriptor support, vLLM CI integration, and code hygiene. Technologies/skills demonstrated: - Upstream testing, CI/CD improvements, SDPA optimization, Tensor Accessor usage, mesh graph descriptor integration, vLLM integration, performance benchmarking, and code cleanup.
August 2025
July 2025
38 Commits • 10 Features
Jul 1, 2025July 2025 (2025-07) performance-driven month for tt-metal: Delivered end-to-end TopK index passing integration with relanding and API cleanup to solidify end-to-end model processing; reintroduced and stabilized reconfig data format support; improved model performance test reliability with longer time windows; stabilized output formats and JSON schema for production pipelines; and achieved broad stability through fixture fixes and test cleanup. These changes elevate business value by enabling reliable benchmarking, robust data-format compatibility, and a smoother release cycle.
July 2025
38 Commits • 10 Features
Jul 1, 2025July 2025 (2025-07) performance-driven month for tt-metal: Delivered end-to-end TopK index passing integration with relanding and API cleanup to solidify end-to-end model processing; reintroduced and stabilized reconfig data format support; improved model performance test reliability with longer time windows; stabilized output formats and JSON schema for production pipelines; and achieved broad stability through fixture fixes and test cleanup. These changes elevate business value by enabling reliable benchmarking, robust data-format compatibility, and a smoother release cycle.
June 2025
30 Commits • 12 Features
Jun 1, 2025June 2025 (tenstorrent/tt-metal) focused on improving modularity, performance visibility, and CI reliability. Key architectural refactors, expanded demo/perf measurement, and enhanced observability established a stronger foundation for stable deployments and data-driven decisions.
30 Commits • 12 Features
Jun 1, 2025June 2025 (tenstorrent/tt-metal) focused on improving modularity, performance visibility, and CI reliability. Key architectural refactors, expanded demo/perf measurement, and enhanced observability established a stronger foundation for stable deployments and data-driven decisions.
June 2025
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Quality Metrics
Correctness89.0%
Maintainability82.8%
Architecture84.6%
Performance84.2%
AI Usage38.4%
Skills & Technologies
Programming Languages
C++JSONJavaScriptPythonShellUnknownYAML
Technical Skills
API IntegrationAPI designAPI developmentAPI integrationAlgorithm DesignAlgorithm optimizationC++C++ DevelopmentC++ developmentC++ programmingCI/CDCUDACUDA programmingData AnalysisData Processing
Repositories Contributed To
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