AI Infrastructure Evolution: How Better Hardware Powers The LLM Era

Running both phases on the same silicon creates inefficiencies, which is why decoupling the two opens the door to new ...
WinBuzzer

AI: Memory Bottleneck Emerges as Main LLM Inference Challenge

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
SDxCentral

DeepSeek looks to offload simple LLM tasks to save billions of parameters

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

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 ...
Business Wire

Kioxia Achieves Successful Prototyping of 5TB Large-Capacity and 64GB/s High-Bandwidth Flash Memory Module

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 ...
Semiconductor Engineering

Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for LLM Inference (Rensselaer Polytechnic Institute, IBM)

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
TechSpot

SanDisk's new High Bandwidth Flash memory combines 3D NAND capacity with HBM-like bandwidth

What just happened? At its first big investor event since breaking off from Western Digital, SanDisk unveiled something it's been cooking up to take a bite out of the hot AI market. The company has a ...