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A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
Huawei launched its Kirin 970 at IFA this year, calling it the first chipset with a dedicated neural processing unit (NPU). Then, Apple unveiled the A11 Bionic chip, which powers the iPhone 8, 8 ...
Hexagon is the brand name for a family of digital signal processor (DSP) and later neural processing unit (NPU) products by Qualcomm. [2] Hexagon is also known as QDSP6, standing for “sixth generation digital signal processor.”
Network processing unit, hardware for networking; Neural processing unit, hardware for artificial intelligence; Numeric processing unit or floating-point unit, ...
The fact is that biological neural cognitive systems are many orders of magnitude more energy-and compute-efficient than current state-of-the-art AI and neuromorphic engineering is an attempt to narrow this gap by inspiring from the brain's mechanism just like many engineering designs have bio-inspired features.
Lunar Lake's Neural Processing Unit (NPU), which performs AI operations locally, in-silicon rather than in the cloud, has been updated to Intel's "NPU 4" architecture with increased clock speeds. Intel claims that Lunar Lake can achieve a total of 120 TOPS of performance in AI workloads, with 48 TOPS coming from the NPU alone while an ...
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
The Synergistic Processing Element or Unit (SPE or SPU) is a component in the Cell microprocessor. Processors based on different circuit technology have been developed. One example is quantum processors , which use quantum physics to enable algorithms that are impossible on classical computers (those using traditional circuitry).