January 2026 monthly summary for tenstorrent/tt-inference-server: Delivered Embedding Model Integration: Qwen3 in the vLLM plugin. The Qwen3 embedding model was registered and integrated into the existing architecture to expand embedding capabilities and improve processing of embedding requests. This work enhances cross-application embedding support and establishes a foundation for future embedding workloads, with changes tracked via commit 493401163fc61474a7472409c044c9a0fb5bb93d (PR #1867).

Concise monthly summary for 2025-09 focusing on business value and technical achievements in tenstorrent/tt-metal. Features delivered include Whisper Model Integration in the T3K Framework for audio classification and conditional generation, with tests and performance metrics to validate the integration. Major bugs fixed: none reported this month. Overall impact: enables Whisper-powered workflows within T3K, expanding capabilities and potential customer value; performance metrics guide future optimizations. Technologies demonstrated: cross-framework integration, test-driven development, performance benchmarking, and version control.

May 2025 monthly summary focusing on key accomplishments, business value, and technical outcomes for tenstorrent/tt-forge. Key features implemented this month include a ResNet50 demonstration and benchmarking suite for the tt-torch backend, with improvements to data loading for ImageNet labels and enhanced README guidance. In addition, CI and code quality improvements were completed for the ResNet demo scripts to ensure CI reliability and smoother developer workflows.