On Oct 20, a Cornell University-led study confirmed that GSI’s Gemini‑I APU can deliver GPU-like AI performance using far less power investing.com economictimes.indiatimes.com. In benchmarks on large retrieval-augmented generation workloads, GSI’s chip achieved throughput comparable to an NVIDIA A6000 GPU while using ~98% less energy investing.com economictimes.indiatimes.com. The study also found the APU ran RAG tasks several times faster than standard CPUs investing.com ts2.tech. GSI CEO Lee-Lean Shu hailed the independent validation, saying “Cornell’s independent validation confirms what we’ve long believed – compute-in-memory has the potential to disrupt the $100 billion AI inference market,” and that the APU delivers “GPU-class performance at a fraction of the energy cost.” economictimes.indiatimes.com.