Compute architectures are changing radically from bringing in memory using CXL on the PCI Express interface to integrating machine-learning and artificial-intelligence (ML/AI) accelerators with ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Experts at the Table — Part 2: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, chief technology officer at Alphawave Semi; Steve Roddy, chief ...

A new review paper titled “Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective” was published by researchers at Argonne National Lab, Purdue ...

GSI Gemini-I APU reduces constant data shuffling between the processor and memory systems Completes retrieval tasks up to 80% faster than comparable CPUs GSI Gemini-II APU will deliver ten times ...

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 ...

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 ...

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) ...

What are the current challenges involved with incorporating sufficient HBM into multi-die design? How a new interconnect technology can address the performance, size, and power issues that could ...

Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital firm was joined by NEA, Softbank KR, Honda Motor Co. and a long list of other ...