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AMD Instinct is AMD's brand of data center GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016.Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.
During the 2010s, GPU manufacturers such as Nvidia added deep learning related features in both hardware (e.g., INT8 operators) and software (e.g., cuDNN Library). Over the 2010s GPUs continued to evolve in a direction to facilitate deep learning, both for training and inference in devices such as self-driving cars.
CuPy has been initially developed as a backend of Chainer deep learning framework, and later established as an independent project in 2017. [ 6 ] CuPy is a part of the NumPy ecosystem array libraries [ 7 ] and is widely adopted to utilize GPU with Python, [ 8 ] especially in high-performance computing environments such as Summit , [ 9 ...
By the late 2010s, as deep learning became more popular, CUDA already was the go-to standard for GPU acceleration. ... In 2006, Intel had a dominant lead in graphics chips, with a 40% market share ...
ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.
The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards. Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars. [1] Its new GPUs are branded Nvidia Data Center GPUs [2] as in the Ampere-based A100 GPU. [3]
AlexNet is highly influential, resulting in much subsequent work in using CNNs for computer vision and using GPUs to accelerate deep learning. As of early 2025, the AlexNet paper has been cited over 168,000 times according to Google Scholar.
The fourth generation of Deep Learning Super Sampling (DLSS) was unveiled alongside the GeForce RTX 50 series. DLSS 4 upscaling uses a new vision transformer -based model for enhanced image quality with reduced ghosting and greater image stability in motion compared to the previous convolutional neural network (CNN) model. [ 30 ]