Most AI chips move data back and forth. What if you could compute where the data already lives? In episode 12 of our podcast, we break down how @gsitechnology's Gemini-II compute-in-memory architecture slashes data movement and unlocks real edge AI performance. If you care

Matrix math is cheap. Moving matrices isn’t. Learn how GSI Technology's Gemini-II computes directly in memory and why this matters for multimodal LLM TTFT and edge AI systems. https://t.co/d5P0pJLtMb

Edge AI isn’t coming—it’s already here. From CES-deployed robots to autonomous vehicles, this episode dives deep into why time-to-first-token (TTFT) is now the metric that matters and how GSI Technology's Gemini-II APU delivers real-time, multimodal AI at a fraction of the power

AI is moving beyond the cloud and into the real world. Lee-Lean Shu, CEO of @gsitechnology , explores how in-memory computing overcomes the power and performance limits of traditional architectures to bring data center–level AI to the edge—enabling real-time decision-making in

Episode 10 is live! AI is moving out of the cloud and into the real world. From edge inference to multimodal intelligence, we explore how AI is becoming faster, smarter, and more autonomous—right where data is created. Join us as as we break down the evolution of AI at the

What if satellites could think? In our latest episode, we explore how @gsitechnology's Gemini-II APU enables on-orbit SAR, change detection, object ID, and more! Listen today! https://t.co/4W7XgEEbUs

In Episode 8 of our podcast, we dive deep into the world of true autonomy at the edge, powered by @gsitechnology's Gemini® APU. From navigating dense cities to seeing through storms and darkness with Synthetic Aperture Radar (SAR), to running multimodal LLMs on-board, this chip

Cornell University's research on @gsitechnology's APU revealed Compute-in-Memory performance that’s…honestly a little unsettling. - Lightning-fast vector search - Navigating like it has spooky sixth sense - Performing through digital “fog” that would leave GPUs trembling

Independent research by Cornell shows that the Gemini-I APU delivered comparable throughput to GPUs while delivering over 98% lower energy consumption. The APU’s unique design allows it to shorten total processing time by up to 80% compared to CPUs. https://t.co/i1tNg7ErR6

Time to First Token (TTFT) is key for LLM performance on edge devices. In our latest podcast, we dive into how @gsitechnology's APU is redefining efficiency at the edge. #AI #EdgeComputing Tune in to learn more: https://t.co/ebXdGnLDBp

Listen to our fifth podcast where we discuss how @gsitechnology's approach to true compute-in-memory represents something revolutionary. It’s not just an incremental improvement—it’s a fundamental rethinking of how computation should work. #AI #Compute https://t.co/K9v9AFLr9u

Episode 4 is live! Join us for the latest installment of our podcast series as we dive into how @gsitechnology's APU is revolutionizing AI at the edge—powering the next generation of defense and aerospace applications. Listen now: https://t.co/LLsWlFAaGw

AI is moving to the edge—and breaking away from the cloud. In our latest episode, we explore how GSI Technology’s Gemini-II chip is breaking the bottlenecks and powering AI where it matters most. #AI #GSIT https://t.co/guTpI1ldyP

In Episode 2 of our new podcast, we dive into @gsitechnology's APU — a compute-in-memory engine redefining AI inference.  Improving performance and lowering power. A game-changer for scalable, energy-efficient AI. #AI https://t.co/OGVg50yvhy

Dive into the future of computing as we explore @gsitechnology's APU in our new podcast. How it stacks up against GPUs & CPUs The paradigm shift of in-memory computing Why this tech could redefine performance & efficiency Listen now https://t.co/X8c4W3orFq #AI #APU #CiM

Read this thought-provoking article by @gsitechnology's CEO, Lee-Lean Shu, to learn about the future of eco-friendly and sustainable AI. #AI #Ecofriendly #sustainable https://t.co/YgXoSNcdLm

GSI Technology to Participate in the Sidoti May Micro-Cap Virtual Conference | GSI Technology, Inc. https://t.co/VL1Ur1iuiX @gsitechnology

Don’t miss this Forbes article, written by @gsitechnology 's CEO, Lee-Lean Shu, discussing how IoT paved the way for data-driven decision-making, and how AI is now building on this foundation and taking it to higher levels. https://t.co/cLGMrYUsMu #AI #IoT #innovation