GSI
In The World
In our latest episode, we break down how GSI Technology’s Gemini-II compute-in-memory architecture slashes data movement and unlocks real edge AI performance.
Read about how GSI Technology’s APU performs matrix multiplication and why it is a superior solution to achieve TTFT in multimodal LLM with Text and Video inputs that are useful for edge physical AI awareness.
Read more about how GSI has achieved 3-second TTFT while consuming approximately 30 watts at the AI sub-system, including the chip.
Read about GSI Technology’s exciting new partnership with G2 Tech.
Discover how in-memory computing is unlocking real-time, data center–level AI at the edge and see why this shift is about to transform everything from agriculture to defense.