Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...

Together they account for more than 90% of the total random-access-memory (RAM) market (Counterpoint, October 2025).All three happen to be major players in NAND as well, the building block of ...

The day-to-day experience of running a 24/7 server should be uneventful. The services you run should work without any need to ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

The global memory market is once again nearing an inflection point. With AI workloads spreading across end devices, DRAM has turned into the central bottleneck dictating shipment rhythms for PCs, ...

From the moment we are born, our brains are bombarded by an immense amount of information about ourselves and the world around us. So, how do we hold on to everything we've learned and experienced?

Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers’ pivot to AI chips and Nvidia’s memory-intensive AI server platforms, leaving enterprises with limited procurement leverage.

Nvidia's move to use smartphone-style memory chips in its artificial intelligence servers could cause server-memory prices to double by late 2026. Because each AI server needs more memory chips than a ...

Nvidia recently decided to reduce AI server power costs by changing the kind of memory chip it uses to LPDDR, a type of low-power memory chip normally found in phones and tablets, from DDR5, which are ...

BEIJING, Nov 19 (Reuters) - Nvidia's (NVDA.O), opens new tab move to use smartphone-style memory chips in its artificial intelligence servers could cause server-memory prices to double by late 2026, ...

Driven by the explosive demand for artificial intelligence, server memory could double in price by late 2026. The disruption originates from two prime sources: a recent shortage of DDR4/DDR5 legacy ...