I'm long GSIT with a decent amount of jan call contracts as well. Stock ripped again closing Friday at $7.65 (+26%) on massive volume after Nvidia's Christmas Eve bombshell: a $20B non-exclusive licensing deal with Groq, scooping up their inference tech + CEO/founder Jonathan Ross and key talent. Basically Nvidia neutralizing a big inference rival, which lit a fire under alternative AI chip plays like GSI's power-efficient Gemini APU for edge apps (drones, defense).
GSIT's story: Small-cap semiconductor vet pivoting hard into AI with compute-in-memory tech. Q2 FY26 revenue $6.4M (+39% YoY), 55% margins, but still loss-making (R&D burn). $50M raise in October gives runway and no need for dilution . Management hyped ongoing defense POCs + multi-modal LLM optimizations on Gemini-II.
Biggest near-term catalyst: Initial benchmarks for multi-modal LLMs (vision + text for edge) expected Any Day Now by Dec 31, 2025 per earnings call. Prior PR showed 98% less energy vs Nvidia, and strong results could validate their edge over power-hungry GPUs amid the inference shift.
Next up: Needham Growth Conf presentation Jan 15, Q3 earnings late Jan/early Feb, Gemini-II pilot shipments H1 '26.
Volatile speculative play, but Nvidia/Groq news gave it serious tailwinds. Watching closely into year-end. if those benchmarks drop hot, will fly more.
Stock hit 18 on this PR back in Oct and pulled back and I expect fireworks this week.
Key points:
GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads.
Massive energy advantage – The APU delivers over 98% lower energy consumption than a GPU over various large corpora datasets, underscoring its efficiency and sustainability.
Faster and more efficient than CPUs – The APU’s unique design allows it to perform retrieval tasks several times faster than standard CPUs, shortening total processing time by up to 80%.