TOKYO, Feb. 12, 2025 (GLOBE NEWSWIRE) -- Leading semiconductor test equipment supplier Advantest Corporation (TSE: 6857) today announced the T5801 Ultra-High-Speed DRAM Test System. The cutting-edge ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

As AI systems push HBM into terabit-per-second territory, memory test strategy is becoming a core part of system design. As AI’s appetite for data grows, and more complex memory architectures follow, ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, has successfully developed a prototype of a large-capacity, high-bandwidth flash memory module essential for large-scale ...

Teradyne TER is benefiting from the growing demand for memory test solutions, particularly driven by advancements in AI applications and data center investments. In the third quarter of 2025, the ...

The pace of AI innovation continues to expose a painful reality. Compute keeps scaling, but memory bandwidth remains one of the hardest bottlenecks to remove. As AI models grow larger and more complex ...

This photo taken on April 8, 2025 shows a woman riding an electric motorbike past a Samsung electronics factory in Bac Ninh province. Seeking low wages, South Korean tech giant Samsung Electronics has ...

The debut of DeepSeek R1 sent ripples through the AI community, not just for its capabilities, but also for the sheer scale of its development. The 671-billion-parameter, open-source language model’s ...

High Bandwidth Memory (HBM) is the commonly used type of DRAM for data center GPUs like NVIDIA's H200 and AMD's MI325X. High Bandwidth Flash (HBF) is a stack of flash chips with an HBM interface. What ...

As compute capability grows, memory behavior increasingly defines performance. Artificial intelligence (AI) workloads and heterogeneous architectures drive compute scaling well ahead of memory ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...