The GPU software stack for AI is broad and deep. The net result is GPUs perform technical calculations faster and with greaterenergy efficiencythan CPUs. That means they deliver leading performance for AI training and inference as well as gains across a wide array of applications that useaccelerat...
虽然CPU可以执行AI算法,但由于内部逻辑多,对于AI算法来说效率不高。因此,出现了专门的AI芯片,它们设计用于高效并行计算,加速AI计算过程,并提高性价比。 广义而言,AI 芯片指的是专门用于处理人工智能应用中大量计算任务的模块,除了以 GPU、FPGA、ASIC 为代表的 AI 加速芯片,还有比较前沿性的研究,例如:类脑芯片、可...
With over 95% of the specialist AI-chip market, Nvidia's blistering growth looks set to continue. What makes Nvidia's chips so special? Originally designed for gaming, its graphics processor units (GPUs) excel at parallel processing ideal for AI model training. A high-end GPU has over 1,...
I was asked to answer this question for my team. Below, I’ve outlined some of the reasons I think you may not want to use reinforcement learning in your application, or at least think twice before walking down that path. Let’s dive in!
For this reason, it's often acceptable to simply use a CPU when just starting out, and as we tackle larger more complicated problems, begin using the GPU more heavily. GPGPU computing In the beginning, the main tasks that were accelerated using GPUs were computer graphics. Hence the name ...
Nvidia's AI chips, also known as graphics processor units (GPUS) or “accelerators”, were initially designed for video games. They use parallel processing, breaking each computation into smaller chunks, then distributing them among multiple “cores”—the brains of the processor—in the chip. Th...
See why data center GPUs are essential to workload acceleration for many of today's technology use cases.
The first problem, about structuring information, is very well addressed by deeplearning and similar unsupervised learning algorithms, used for example in the AlphaGo program. We have made tremendous progress in this area, i...
One of the most common AI use cases is the crunching of enormous data streams from various IoT devices for predictive maintenance. This can pertain to the monitoring of the condition of a single piece of equipment, such as an electrical generator, or of an entire manufacturing facility like a...
Since 2014, AMD's desktop GPU market share has fallen from 35% to 12%, while Nvidia's climbed from 65% to 88%. Both companies include desktop GPU sales in their respective gaming segments, as consumers mainly use these chips to build high-performance gaming PCs. AMD saw its gaming...