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  2. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    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. [14] Nvidia also offers deep learning anti-aliasing (DLAA). DLAA provides the same AI-driven anti-aliasing DLSS uses, but without any upscaling ...

  3. NVDLA - Wikipedia

    en.wikipedia.org/wiki/NVDLA

    The NVIDIA Deep Learning Accelerator (NVDLA) is an open-source hardware neural network AI accelerator created by Nvidia. [1] The accelerator is written in Verilog and is configurable and scalable to meet many different architecture needs. NVDLA is merely an accelerator and any process must be scheduled and arbitered by an outside entity such as ...

  4. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    Nvidia Jetson is a series of embedded computing boards from Nvidia. The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecture central processing unit (CPU). Jetson is a low-power system and is designed for accelerating machine learning applications.

  5. Meet the $10,000 Nvidia chip powering the race for A.I. - AOL

    www.aol.com/news/meet-10-000-nvidia-chip...

    Nvidia takes 95% of the market for graphics processors that can be used for machine learning, according to New Street Research. ... In addition to a single A100 on a card that can be slotted into ...

  6. Nvidia Is The Best Artificial Intelligence and Machine ... - AOL

    www.aol.com/news/nvidia-best-artificial...

    Mizuho analyst Vijay Rakesh reiterated a Buy on Nvidia Corp (NASDAQ: NVDA) with a $205 price target. Recent events have significantly impacted the global AI technology roadmap, from elevated ...

  7. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    The successor of the Nvidia DGX-1 is the Nvidia DGX-2, which uses sixteen Volta-based V100 32 GB (second generation) cards in a single unit. It was announced on 27 March in 2018. [14] The DGX-2 delivers 2 Petaflops with 512 GB of shared memory for tackling massive datasets and uses NVSwitch for high-bandwidth internal communication.

  8. Deep learning anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_anti-aliasing

    Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...

  9. 3 AI Software Stocks to Consider Buying - AOL

    www.aol.com/3-ai-software-stocks-consider...

    Image source: Getty Images. 3. AppLovin. While the company may have a quirky name, AppLovin's (NASDAQ: APP) fortunes completely changed with the launch of its AI-powered adtech solution Axon-2 ...

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