Overview
- Benchmarking on 10–200GB RAG datasets showed GSI’s Gemini‑I APU delivering throughput comparable to Nvidia’s A6000 GPU.
- Researchers reported more than 98% lower energy consumption versus a GPU across the tested corpora.
- The APU cut retrieval bottlenecks seen on CPUs, reducing end-to-end processing time by up to 80%.
- The work was published via ACM and introduced an analytical framework for general-purpose compute‑in‑memory devices.
- GSIT shares spiked as much as nearly 200% Monday with further premarket gains Tuesday, while company claims for ~10x-faster Gemini‑II remain unverified by third-party production-scale deployments.