NVIDIA has introduced easily deployable software that helps developers harness the power of GPU acceleration for groundbreaking deep learning applications in areas such as image classification, video ...
Morning Overview on MSN
What makes Nvidia AI accelerators special compared with standard GPUs?
Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster versions of gaming graphics cards. The company’s AI accelerators strip away ...
Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story?
Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.
New AI SFF system provides up to 50% more bandwidth, 6x AI performance increase and 2x CPU performance improvement over previous GPGPU-based systems The A230 sets a new standard for advanced, rugged ...
Demand for deep-learning accelerator (DLA) chips, also known as artificial intelligence (AI) processors, continues to be strong in spite of the pandemic. Deep-learning applications are being deployed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback