Month 2026-03 summary focusing on delivering real-time firmware fan RPM telemetry, API clarity, and backward compatibility for tt-umd. The work enhances real-time monitoring, improves telemetry fidelity, and reduces support risk by aligning firmware telemetry with documented semantics.

Monthly summary for 2025-10 focusing on feature delivery and architectural work across tt-metal and tt-umd, highlighting telemetry-agnostic decoupling and extended cluster metadata API.

September 2025 saw substantial telemetry and platform durability improvements in tenstorrent/tt-metal. Delivered ARC telemetry modernization, HAL/GUI enhancements, a refactored Telemetry data model, and reliability improvements that enable scalable, accurate live chassis health data. Also completed a CPM-based build overhaul, eliminated Metal dependencies, and introduced multi-host metrics aggregation and FirmwareInfoProvider-based ARC telemetry reads. Together with targeted UI refinements and robust error handling, these changes improve telemetry fidelity, developer productivity, and future scalability.

August 2025 TT-Metal performance summary: Delivered a major modernization of the telemetry and Ethernet stack, enabling richer chip tracking, improved observability, and scalable telemetry data handling. Key features delivered include ChipIdentifier and ChipLinkEndpoint to enrich chip ID handling; end-to-end link health visibility with prints of link status at both ends; refactored Ethernet checks to is_ethernet_endpoint_up; modularization into modules; and a robust JSON messaging framework with UI integration. Key outcomes for business value include improved device onboarding reliability, faster diagnostic capabilities, and a foundation for scalable metrics and dashboards that support proactive maintenance and customer success.

July 2025 focused on delivering core telemetry capabilities for tt-metal and improving observability. Completed initial Telemetry Server setup with Metal integration, enhanced diagnostics and network visibility, and aligned documentation with naming conventions. These efforts establish foundational telemetry infrastructure, improve hardware cluster visibility, and streamline developer onboarding, enabling better performance monitoring and faster issue resolution.