Supermicro Throws Its Weight Behind Arm Servers

Counting the cost of training large language models

IBM Power10’s Memory Inception Clustering (2021)

Software, not hardware, will drive quantum and neuromorphic computing

Arm Fills in Some Gaps – and Details – In Server Chip Roadmaps

E Pluribus, Network – Arista Networks, That Is

Intel Let the Chips Fall Where They Might

China Launches The Inevitable Indigenous GPU

The Future of System Memory Is Mostly CXL

The Path Is Set for PCI-Express 7.0 in 2025

Teaching Kubernetes to Do Fractions and Multiplication on GPUs

How China Built an Exascale Supercomputer Out of Old 14nm Tech

The Money Printing Press That Is Chip Maker TSMC

Stacking Up AMD MI200 versus Nvidia A100 Compute Engines

The AMD “Aldebaran” GPU That Won Exascale

The Edge Is Just a Geographically Distributed Cluster

Why Amazon Might Become the Largest Quantum Consumer

Why IBM Is Suing GlobalFoundries over Chip Roadmap Failures

Arm’s v9 Architecture Explains Why Nvidia Needs To Buy It

Why Julia Is Turning Heads in 2021

The Impending AMD Milan versus Intel Ice Lake Server Showdown

What’s Motivating the Matrix Engine Movement in HPC?

AMD at a Tipping Point with Instinct MI100 GPU Accelerators

The Memory Area Network at the Heart of IBM’s Power10

Balancing AMD’s Future on the Edge of a Silicon Wafer

Not All FPGAs Need to Be Discrete

Nvidia Unifies AI Compute with “Ampere” GPU

Tachyum Starts from Scratch to Etch a Universal Processor

Marvell Cranks Up Cores and Clocks with “Triton” ThunderX3

The Metronomic Cadence of Chippery from AMD

More →