Samsung last month unveiled a SOCAMM2 LPDDR5-based memory module designed specifically for AI data center platforms.

Third-party performance benchmarks show CPUs with HBM2e memory now have sufficient memory bandwidth and computational capabilities to match GPU performance on many HPC and AI workloads. Recent Intel ...

SPHBM4 cuts pin counts dramatically while preserving hyperscale-class bandwidth performanceOrganic substrates reduce ...

Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...

Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...

High bandwidth memory (HBM) is becoming more mainstream. With the latest iteration’s specifications approved, vendors in the ecosystem are gearing to make sure it can be implemented so customers can ...

Ever since AMD introduced Zen, all CPUs based on the architecture have shown that they are especially sensitive to memory speed, as well as other timings. Using faster RAM could give a sizable ...

There's an exciting new graphics card memory technology on the horizon that could see huge gains in one of the most important aspects of GPUs: memory bandwidth. The new GPU SCM with DRAM tech can ...

People have been talking about CXL memory expansion for so long that it seems that it should be here already, but with the dearth of CPUs that can support PCI-Express 5.0 peripherals we have to be ...

What good is a floating point operation embodied in a vector or matrix unit if you can’t get data into fast enough to actually use the compute engine to process it in some fashion in a clock cycle?

In an attempt to troubleshoot an issue with low 3DMark scores, (that I have since fixed) I downloaded SiSoft Sandra to make sure my RAM was performing up to par. However, every time but one that I've ...