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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.
Announced March 2024, GB200 NVL72 connects 36 Grace Neoverse V2 72-core CPUs and 72 B100 GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models ...
The GeForce 40 series is the most recent family of consumer-level graphics processing units developed by Nvidia, succeeding the GeForce 30 series.The series was announced on September 20, 2022, at the GPU Technology Conference (GTC) 2022 event, and launched on October 12, 2022, starting with its flagship model, the RTX 4090.
Intel XeSS is a real-time deep learning image upsampling technology developed primarily for use in video games as a competitor to Nvidia's DLSS and AMD's FSR technologies. Additionally, XeSS is not restricted to Arc graphics cards.
DLSS uses machine learning to combine samples in the current frame and past frames, and it can be thought of as an advanced and superior TAA implementation made possible by the available tensor cores. [13] Nvidia also offers deep learning anti-aliasing (DLAA). DLAA provides the same AI-driven anti-aliasing DLSS uses, but without any upscaling ...
This winter's class of free agents is full of former All-Star's and Cy Young winners. A team-by-team look of players hitting the market. 2024-2025 MLB free agents: Juan Soto, Corbin Burnes ...
Juan Soto headlines this year's MLB free agent class, expected to fetch a record-setting deal. ... MLB top free agents: 120 best for 2024-2025, tracker as rumors swirl. Show comments.
In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve the ability of users to use deep learning by combining GPUs with integrated deep learning software. [187] Nvidia gifted its first DGX-1 to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from ...
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