May 2025 Performance Summary Key features delivered - tt-forge-fe: FlatBuffer-based persistence for compiled models via Binary.store, enabling reuse with external tools like tt-explorer and ttrt. - tt-forge-fe: Jax Ops tests re-enabled by removing the skip marker, restoring regular test suite coverage for the tt-mlir issue. - tt-xla: Documentation update in Getting Started to replace outdated tt-mlir build instruction links with current references. Major bugs fixed - Restored full test coverage by removing the Jax Ops test skip, addressing testing gaps related to the unresolved tt-mlir issue. Overall impact and accomplishments - Increased reliability of the test suite and faster feedback cycles (tt-forge-fe) with restored test coverage. - Enabled practical re-use of compiled models across tools, reducing manual rework and enabling workflows with tt-explorer and ttrt. - Improved user onboarding and setup experience through up-to-date documentation for tt-mlir build instructions. Technologies/skills demonstrated - Model persistence using FlatBuffers (Binary.store) and integration with external tooling. - Test suite maintenance and gating adjustments to ensure robust coverage. - Documentation maintenance and localization of build instructions for tt-mlir. - Cross-repo collaboration: tt-forge-fe and tt-xla workstreams aligned for build/test reliability and developer onboarding.

In April 2025, delivered JAX/Flax support in the Forge Compilation System for the tt-forge-fe repository, enabling end-to-end compilation and verification of JAX/Flax models with updated dependencies and Flax module integration. Added tests for key JAX operations and reflected improved stability in test configurations as JAX/ResNet tests pass. This work removes barriers for customers adopting JAX/Flax in Forge and lays groundwork for broader framework support.

March 2025 monthly summary: Focused on stability, interoperability, and test coverage across two repos. Key business value: reduced runtime failures in Llama3 demo, robust TVM out-of-tree execution path resolution enabling consistent caching across environments, and expanded ONNX support and tests that improve model validation, integration readiness, and data-path reliability. Highlights include porting env var MAX_PREFILL_CHUNK_SIZE to proper integer casting, TVM path detection using tvm.__file__, and ONNX importer improvements and expanded test suite.

January 2025 (2025-01) – tenstorrent/tt-metal monthly summary focused on reliability improvements and developer onboarding. No new features were delivered this month. Major bug fix: corrected the Docker run command syntax from --it to -it in the installation guidance to ensure proper container startup, as implemented in the INSTALLING.md update. Impact: smoother onboarding, reduced runtime errors for new users, and decreased support overhead. Technologies/skills demonstrated: Docker command accuracy, documentation/editing, and Git-based change management.