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 ...

Hoping this is the right forum for this... I'm trying to figure out the memory bandwidth, as it were, on a Dell Poweredge MX750. The specs for this list it as 3200MT ...

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 ...

Generative AI (Gen AI), built on the exponential growth of Large Language Models (LLMs) and their kin, is one of today’s biggest drivers of computing technology. Leading-edge LLMs now exceed a ...

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 ...

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 ...

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 ...

Agilex 7 FPGA M-Series Optimized to Reduce Memory Bottlenecks in AI and Data-intensive Applications SAN JOSE, Calif.--(BUSINESS WIRE)-- Altera Corporation, a leader in FPGA innovations, today ...

Weaver—the First Product in Credo’s OmniConnect Family—Overcomes Memory Bottlenecks in AI Inference Workloads to Boost Memory Density and Throughput SAN JOSE, Calif.--(BUSINESS WIRE)-- Credo ...

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 ...