Embedding workloads can look healthy on latency dashboards while changing retrieval quality after a hardware move. Googl...

Embedding workloads can look healthy on latency dashboards while changing retrieval quality after a hardware move. Google's vLLM TPU implementation preserves pooling state across chunked prefill and validates cosine similarity against reference outputs. That is the right release shape: benchmark speed, but gate deployment on numerical parity.https://developers.googleblog.com/enterprise-grade-precision-for-long-context-multimodal-embedding-inference-on-cloud-tpu/#MachineLearning #MLOps