Introducing NVIDIA Jarvis: A Framework for GPU-Accelerated Conversational AI Applications 实时会话人工智能是一项复杂而富有挑战性的任务。为了允许与最终用户进行实时、自然的交互,模型需要在300毫秒内完成计算。自然的相互作用具有挑战性,需要多模态的感觉整合。模型管道也很复杂,需要跨多个服务进行协调: 自动语音识别...
As the volume of online videos continues to grow exponentially, demand for solutions to efficiently search and gain insights from video continues to grow as well. T4 delivers extraordinary performance for AI video applications, with dedicated hardware transcoding engines that bring twice the decoding pe...
并不是因为GPU就是最终极、最适合AI的设计方案,而是它足够灵活、是如今能得到的最便宜最强大的算力芯片...
Software tools migrate GPU code to FPGAs for AI applications 人工智能软件初创公司Mipsology正与Xilinx合作,使fpga能够仅使用一个额外的命令就可以替换AI加速器应用程序中的gpu。Mipsology的“zero effort零努力”软件Zebra将GPU代码转换为在FPGA上运行Mipsology的AI计算引擎,而无需进行任何代码更改或重新培训。 Xilinx...
Intel Portfolio for AI As AI adoption grows, the range of applications and environments in which it runs—from endpoint devices to edge servers to data centers—will become incredibly diverse. No single architecture, chip, or form factor will be qualified to meet the requirements of all AI appl...
NVIDIA Omniverse™ makes it possible to connect, develop, and operate the next wave of industrial digitalization applications. With powerful RTX graphics and AI capabilities, L40S delivers exceptional performance for Universal Scene Description (OpenUSD)-based 3D and simulation workflows built on Omnive...
Mellanox InfiniBand Fully Optimized NVIDIA Software Stack Accelerates Over 1800 Applications Available From Leading System Makers 13 HGX AI OMNIVERSE HPC RAPIDS AI CLARA SUPERCOMPUTING PLATFORM CUDA-X Purpose-Built for the Convergence of Simulation, Data Analytics AI CUDA CLOUD MAGNUM IO SYSTEMS 14 NVIDIA...
在AI算力这一块,DSA在过去相当长的时间里被认为有希望拿到AI算力的生态位。其实真正有希望的原因并不...
In the GPU market, there are two main players i.e AMD and Nvidia. Nvidia GPUs are widely used for deep learning because they have extensive support in the forum software, drivers, CUDA, and cuDNN. So in terms of AI and deep learning, Nvidia is the pioneer for a long time. ...
GPU for Machine Learning Some of the most exciting applications for GPU technology involve AI and machine learning. Because GPUs incorporate an extraordinary amount of computational capability, they can deliver incredible acceleration in workloads that take advantage of the highly parallel nature of GPUs...