For years, processors focused on performance, and that performance had little accountability to anything else. Performance still matters, but now it must be accountable to power. If small gains in ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, optimizing performance and power efficiency, but often with enough flexibility to ...

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based telemetry offers smarter fault prevention. As transistor geometries shrink and ...

Security has always been a burden to HPC and AI deployments. Adding layers of encryption and decryption architecturally slows systems down, which is an unacceptable trade-off in the high-performance ...