AI
Former Nervana Leads Target Optimal Training Configurations
Ex-Nervana Systems engineers made the jump from a hardware-centric approach to efficient training to pushing better insight into optimization of models and systems. …
AI
AI
A Clear View on the AI Hardware Mirage
Clear Ventures managed to stay out of the AI chip startup investment fray of the last several years. …
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
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? …