The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...

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 ...

The MarketWatch News Department was not involved in the creation of this content. SUNNYVALE, Calif., Oct. 20, 2025 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital ...

Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today, d-Matrix, a leader in high-efficiency AI-compute and inference processors, announced Jayhawk, the industry’s first Open Domain-Specific Architecture (ODSA) ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Jim Yastic highlights Macronix's memory-centric hardware approach that accelerates in-memory search. Compute architectures are changing radically from bringing in memory using CXL on the PCI Express ...

The explosion in data forcing chipmakers to get much more granular about where logic and memory are placed on a die, how data is partitioned and prioritized to utilize those resources, and what the ...