NASDAQ:GSIT News 20 October 2025 - 27 December 2025

Cornell AI Chip Breakthrough Ignites a Buying Frenzy GSI Technology’s “Gemini-I” APU – a novel Associative Processing Unit that performs AI computations directly in memory – received independent validation from a Cornell University-led study unveiled on Oct 20 at the MICRO’25 conference ts2.tech. Researchers confirmed GSI’s chip can deliver performance on par with a high-end NVIDIA GPU for certain artificial intelligence tasks, while using roughly 98% less energy ts2.tech. In large-scale tests of retrieval-augmented generation (a challenging AI workload), the Gemini-I APU achieved throughput comparable to an NVIDIA A6000 GPU but with a tiny fraction of the power draw ts2.tech.

Cornell Validation Spurs Stock Rally On Oct 20, a Cornell University-led study (MICRO ’25 conference) 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 (RAG) 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 (up to 5× speedup or ~80% shorter processing time) investing.com ts2.tech. GSI CEO Lee-Lean Shu hailed the independent validation, saying “Cornell’s independent validation confirms what we’ve long believed –