AI
RISC-V Upstart Targets ML Inference Performance, Power Efficiency
There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. …
AI
AI
Doing The Math On CPU-Native AI Inference
A number of chip companies — importantly Intel and IBM, but also the Arm collective and AMD — have come out recently with new CPU designs that feature native Artificial Intelligence (AI) and its related machine learning (ML). …
AI
The Graph Neural Network Behind Your ETA
Expect to hear increasing buzz around graph neural network use cases among hyperscalers in the coming year. …
AI
Amazon AI Weighs Optimization Options for GNNs
Many of the largest retailers and social networks are seeing a narrowing path for scaling of AI training capabilities. …
AI
DOE AI Expert Says New HPC Architecture Is Needed
Artificial intelligence is taking center stage in the IT industry, fueled by the massive growth in the data being generated and the increasing need in HPC and mainstream enterprises for capabilities ranging from analytics and automation. …
AI
The AI Training Chip Tencent Has an Eye On
It is not news that China wants a rich, native, diverse semiconductor ecosystem to feed its largest consumers of compute. …
AI
ML Training Growing Pains at Facebook
Facebook has to keep digging into ever-lower levels of its architecture to make efficient use of endlessly growing training data. …
AI
Cerebras Shifts Architecture to Meet Massive AI/ML Models
What is that famous maxim in computer science about something that doubles on a regular cadence? …
AI
With AMX, Intel Adds AI/ML Sparkle to Sapphire Rapids
All processor designs are the result of a delicate balancing act, perhaps most touchy in the case of a high performance CPU that needs to be all things to users, whether they’re running large HPC simulations, handling transaction processing, dispatching training runs or whipping out inference results. …
AI