Cost Optimized Inference With Sota Efficiency Metrics

via “energy-efficient token generation with tokens-per-watt optimization”

AI inference on custom RDU chips — high-throughput Llama serving, enterprise deployment.

Unique: Designs custom RDU dataflow and memory hierarchy specifically for energy efficiency in token generation, versus GPU architectures optimized for peak compute throughput that consume excess power during memory-bound decode phases

vs others: Achieves 3X energy efficiency advantage over competitive AI chips for agentic inference according to marketing claims, but lacks published benchmarks, baseline comparisons, and third-party validation versus established GPU efficiency metrics