Month: 2025-09 — Focused on stabilizing TF Serving paths for Intel-tensorflow/tensorflow under high concurrency. Delivered a critical fix for a race condition crash in the MKL-fused batch normalization path when processing parallel requests. Root cause was shared internal variables (depth_, mean_values_, variance_values_) across client threads, causing data races. The fix localizes these variables into the per-request Compute function, ensuring each thread operates on its own local copy. Commit 9c235d2cd077040f16951b51ff0f29bc7318a5cd documents the change. This improves reliability under concurrency and sets groundwork for future parallel-scaling improvements in the MKL BN stack. Business impact: fewer production crashes, higher serving throughput, and more predictable latency under peak load.