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AI accelerator information


An AI accelerator, deep learning processor, or neural processing unit (NPU) is a class of specialized hardware accelerator[1] or computer system[2][3] designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and machine vision. Typical applications include algorithms for robotics, Internet of Things, and other data-intensive or sensor-driven tasks.[4] They are often manycore designs and generally focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability. As of 2024, a typical AI integrated circuit chip contains tens of billions of MOSFETs.[5]

AI accelerators are used in mobile devices, such as neural processing units (NPUs) in Apple iPhones[6] or Huawei cellphones,[7] and personal computers such as Apple silicon Macs, to cloud computing servers such as tensor processing units (TPU) in the Google Cloud Platform.[8] A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.

Graphics processing units designed by companies such as Nvidia and AMD often include AI-specific hardware, and are commonly used as AI accelerators, both for training and inference.[9]

  1. ^ "Intel unveils Movidius Compute Stick USB AI Accelerator". July 21, 2017. Archived from the original on August 11, 2017. Retrieved August 11, 2017.
  2. ^ "Inspurs unveils GX4 AI Accelerator". June 21, 2017.
  3. ^ Wiggers, Kyle (November 6, 2019) [2019], Neural Magic raises $15 million to boost AI inferencing speed on off-the-shelf processors, archived from the original on March 6, 2020, retrieved March 14, 2020
  4. ^ "Google Designing AI Processors". Google using its own AI accelerators.
  5. ^ Moss, Sebastian (March 23, 2022). "Nvidia reveals new Hopper H100 GPU, with 80 billion transistors". Data Center Dynamics. Retrieved January 30, 2024.
  6. ^ "Deploying Transformers on the Apple Neural Engine". Apple Machine Learning Research. Retrieved August 24, 2023.
  7. ^ "HUAWEI Reveals the Future of Mobile AI at IFA".
  8. ^ Jouppi, Norman P.; et al. (June 24, 2017). "In-Datacenter Performance Analysis of a Tensor Processing Unit". ACM SIGARCH Computer Architecture News. 45 (2): 1–12. arXiv:1704.04760. doi:10.1145/3140659.3080246.
  9. ^ Patel, Dylan; Nishball, Daniel; Xie, Myron (November 9, 2023). "Nvidia's New China AI Chips Circumvent US Restrictions". SemiAnalysis. Retrieved February 7, 2024.

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imposed restrictions on exports to China of GPU and AI accelerator chips used for generative AI. Chips such as the NVIDIA A800 and the Biren Technology...

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2023) an emerging class of microprocessor; it is a specific type of AI accelerator, designed to accelerate machine vision tasks. Vision processing units...

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Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning...

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Continue to Dominate the AI Accelerator Market for Now". InformationWeek. Retrieved 11 June 2020. Tiernan, Ray (2019). "AI is changing the entire nature...

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Kobielus, James (27 November 2019). "GPUs Continue to Dominate the AI Accelerator Market for Now". InformationWeek. Archived from the original on 19 October...

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Nvidia

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competitors include AMD, Intel, Qualcomm and AI accelerator companies such as Cerebras and Graphcore. It also makes AI-powered software for audio and video processing...

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Ryzen

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official roadmap by 2016. Ryzen AI is the brand name for AMD's hardware and software implementation of its XDNA AI accelerator, based on intellectual property...

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Graphics processing unit

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Vector processor Video card Video display controller Video game console AI accelerator GPU Vector Processor internal features List of AMD graphics processing...

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Nvidia DGX

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Chassis The product line is intended to bridge the gap between GPUs and AI accelerators in that the device has specific features for deep learning workloads...

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NVIDIA Deep Learning Accelerator (NVDLA) is an open-source hardware neural network AI accelerator created by Nvidia. The accelerator is written in Verilog...

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BrainChip added the Rochester Institute of Technology to its University AI accelerator program. The next month, BrainChip was a part of Intel Foundry Services...

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a hardware accelerator, though they are usually referred with a more specific term, such as 3D accelerator, or cryptographic accelerator. Traditionally...

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Michael Gschwind

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supercomputers. Accelerator virtualization Gschwind was an early advocate of AI Hardware Acceleration with GPUs and programmable accelerators. As IBM's Chief...

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Zen 4

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marketed as first desktop processor to feature a dedicated AI Accelerator branded as "Ryzen AI". On April 1, 2024, AMD quietly released the Ryzen 8000 series...

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Vertiv

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pumped two-phase (P2P) liquid cooling infrastructure for the Gaudi3 AI accelerator. In March 2024, Vertiv joined the Nvidia Partner Network (NPN) as a...

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Neuromorphic engineering

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work, who, if anyone, should be able to claim ownership of the work? AI accelerator Artificial brain Biomorphic Cognitive computer Computation and Neural...

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Exynos

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14.7x boost in AI performance compared to Exynos 2200 Unified Shaders : Texture Mapping Units : Render Output Units : Ray Accelerators and Workgroup Processor...

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Microsoft Copilot

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began to establish marketing standards for "AI PCs" powered by Windows. These include a hardware AI accelerator, as well as a Copilot button on the keyboard...

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Compute kernel

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§ Vector extension Digital signal processor Field-programmable gate array AI accelerator Vision processing unit Manycore Stream processing Computer for operations...

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Manycore processor

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manycore PCI-e accelerator for data-intensive tasks Teraflops Research Chip, a manycore processor using message passing TrueNorth, an AI accelerator with a manycore...

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List of Qualcomm Snapdragon systems on chips

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Hexagon with Fused AI Accelerator, INT8 and INT16 Hexagon Tensor Accelerator Hexagon Vector eXtensions Hexagon Scalar Accelerator Qualcomm Sensing Hub...

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AMD Instinct

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communicate with other devices and accelerators in a heterogeneous system. The MI300X is a dedicated generative AI accelerator that replaces the CPU cores with...

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Processor

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is a specific type of AI accelerator, designed to accelerate machine vision tasks Tensor Processing Unit (TPU), an AI accelerator application-specific...

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Machine learning

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February 2016. Retrieved 23 October 2015. "GPUs Continue to Dominate the AI Accelerator Market for Now". InformationWeek. December 2019. Archived from the original...

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IBM Telum

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"IBM's new Telum Processor is the company's first with an on-chip AI accelerator". TechRepublic. Archived from the original on 2023-03-22. Retrieved...

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Hailo Technologies

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5 million and $8.5 million respectively. Hailo unveiled its Hailo-8 AI accelerator on May 14, 2019. Hailo secured Series B funding of $60 million on March...

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Graphcore

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Graphcore Limited is a British semiconductor company that develops accelerators for AI and machine learning. It has introduced a massively parallel Intelligence...

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