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Why Memory Performance Is More Important Than Ever In Modern Computing

20 August 2026 at 22:38

An infographic with the title 'Memory Performance Is The Real Bottleneck In Modern Computing' shows a flow from a CPU to RAM labeled 'MEMORY BANDWIDTH & LATENCY Can't Keep Up,' then to an 'NVMe SSD' noting 'DATA MOVEMENT Becomes The Limiting Factor.'

For decades, computing performance was easy to reduce to a few headline specifications. CPUs were sold on clock speed and core count, GPUs on shader throughput and later teraFLOPS, memory on frequency, and storage on sequential transfer rates. Those numbers still have value, but modern processors have become so extraordinarily capable of performing arithmetic that another problem increasingly dictates how much of that theoretical performance can actually be used: getting data where it needs to go, when it needs to be there. A modern CPU core can execute multiple instructions every clock cycle. A high-end GPU contains thousands of arithmetic […]

Read full article at https://wccftech.com/why-memory-performance-is-more-important-than-ever-in-modern-computing/

Micron reportedly developing vertically stacked GDDR to rival HBM in AI Workloads

31 March 2026 at 15:00

Micron is reportedly working on a major architectural shift in graphics memory that could change how mid-range GPUs and AI accelerators are designed. According to recent reports, the company is developing vertically stacked GDDR, a new memory category intended to sit between the β€œstandard” discrete GDDR we see on consumer graphics cards and the High Bandwidth Memory (HBM) used in data centre applications.

According to ITHome, the core philosophy behind stacked GDDR is to offer HBM performance without its price tag. By stacking memory dies vertically within a single package, Micron can significantly increase VRAM density and bandwidth per pin. This approach aims to bypass the need for silicon interposers, the complex and costly bridges required to connect HBM to a GPU.

While AI training requires the absolute maximum throughput provided by HBM, AI inference is often hungrier for raw capacity and cost-efficiency. Stacked GDDR could potentially allow a mid-range AI accelerator or a professional workstation card to carry massive amounts of VRAM without the astronomical costs currently associated with HBM-equipped hardware.

Micron is reportedly aiming to deliver the first functional prototypes in 2027. If the roadmap holds, this technology could become a cornerstone for the next generation of β€œAI PCs” and mid-tier enterprise hardware.

KitGuru says: Do you think stacked GDDR will become a new standard?

The post Micron reportedly developing vertically stacked GDDR to rival HBM in AI Workloads first appeared on KitGuru.
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