How a stubborn computer scientist accidentally launched the deep learning boom
Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.
The Next Platform1mon
Creating the Standard for Deep Learning with the HPE Deep Learning Cookbook
Deep learning adoption comes with a wide ... helps users design the ideal infrastructure to optimize performance, such as adopting NVIDIA® Volta® architecture, the world’s most powerful GPU computing ...
TechRadar24d
Liquid Web launches new GPU hosting service for AI and HPC — and users can access a range of Nvidia GPUs (including H100s)
Liquid Web has unveiled the launch of a new GPU hosting service designed to keep pace with growing high-performance computing (HPC ... quickly deploy AI/ML and deep learning workloads ...
Digging Into The Ultra Accelerator Link Consortium
The newly formed UALink Consortium brings together major tech companies to address the vital technical challenge of GPU-to-GPU connectivity in datacenters.
insideHPC24d
Pain of Porting: The Limitations and Costs of GPU-Driven HPC-AI
Heterogeneous computing, with CPUs and GPUs working together is still essential for maximizing performance and ... challenges is the steep learning curve that developers face when transitioning from ...
AMD sees AI revenue soar as Instinct MI300 GPU already rivals CPU division sales
AMD's recently launched Instinct MI300 GPU has quickly become a massive revenue driver for the company, rivaling its entire ...