Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Cutting corners: Faced with rising memory costs, Meta says it is reusing old DDR4 RAM in its servers rather than buying new hardware. The company revealed this week that it is repurposing DDR4 memory ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

JEDEC’s HBM4 and the emerging SPHBM4 standard boost bandwidth and expand packaging options, helping AI and HPC systems push past the memory and I/O walls. Why AI and HPC compute scaling is outpacing ...

Tuttle Capital Management announces the launch of the Tuttle Capital Memory Stack Income Blast ETF (DRMP), an actively managed ETF whose investment objective is to seek current income. Under normal ...

Many of the stocks listed on China’s STAR Market have delivered solid total returns to investors this year. This has been reflected in the YTD performance of the China technology ETF, the KraneShares ...

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Over the last year, memory has become a critical bottleneck within AI data centers. Traditional DRAM struggles to keep pace with the latency and bandwidth needs of next-generation AI accelerators.

Micron Technology, Inc. is transitioning from a cyclical memory supplier to a strategic AI infrastructure enabler, driving a re-rating opportunity. MU's long-term DRAM agreements and supply tightness ...

Artificial intelligence is turning the semiconductor industry upside down. For years, memory chips were treated like a commodity business — boom during shortages, bust during gluts, rinse and repeat.