Semiconductor Engineering

Optimizing Tester Memory Resources With Pooling Technology

The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector ...
Nasdaq

Marvell Launches Next-generation CXL Switch, Enabling Memory Pooling to Break Through the AI "Memory Wall"

Marvell Structera S Pooling Capability Offers Higher Memory Utilization, Improved Data Flow Efficiency and AI Application Performance, and Greater Infrastructure Flexibility CXL switching has long ...
SiliconANGLE

Chip startup d-Matrix raises $275M to speed up inference with in-memory compute

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...
SiliconANGLE

XCENA raises $135M for its computational memory controller

XCENA Inc., a startup with a memory device designed to speed up artificial intelligence clusters, today announced that it has raised $135 million in funding. The Series B round was led by Korean funds ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...