Today’s move:
$GSIT (GSI Technology) surged after Cornell researchers validated that the company’s Gemini-I Compute-in-Memory (CIM) APU achieves GPU-class AI performance (matching Nvidia’s A6000) while consuming ~98 % less energy. The results—published at the Micro ’25 conference—position GSIT as a credible player in the emerging “AI energy-efficiency” theme, which has become increasingly relevant amid the so-called AI energy crisis.
Déjà vu — but this time with substance
GSIT’s run today mirrors its May 2023 surge (~210 %), which also came ahead of an earnings report—but that move was mostly speculative hype around “AI memory plays.”
The difference this time: GSIT now has third-party validation from Cornell showing real performance parity with GPUs, not just retail excitement.
The company announced it will report earnings on October 30 (after hours)—setting up an important test of how well the stock can hold gains heading into results.
Financial snapshot (as of June 30 2025)
Estimated Cash: ~$20 M | Debt: None
Operating cash outflow: ~$1.7 M last quarter
Shelf capacity: ~$88 M | ATM remaining: ~$13 M (used $11 M YTD)
Company expects existing cash to fund operations for at least 12 months.
Next-quarter guidance:
Management expects $5.9 – $6.7 M in revenue and 56 – 58 % gross margin.
They noted stable SRAM demand, especially in AI and generative-AI markets, though extended lead times may limit deliveries. The team remains focused on advancing the Gemini-II chip and could draw on the remaining ATM capacity for development funding.
What to watch:
- Price stability into 10/30 earnings: can GSIT sustain its breakout or fade going into earnings like in 2023? (Note that despite the fade into earnings on 5/16/2023 it still made another leg up after - see daily chart above)
- Investor sentiment: does validation translate into partnerships or new orders?
- Any mention of Gemini-II progress or commercialization plans—key for longer-term valuation.
GSIT’s story now combines a verified AI technology edge with a classic small-float setup—a mix that can create both opportunity and volatility heading into earnings.