The Language Processing Unit (LPU) chip is a chip designed for AI inference. Unlike Gpus, which are primarily designed for graphics rendering, the LPU architecture employs a different design than the GPU's SIMD (single instruction, multiple data), which allows the chip to utilize each clock cycle more efficiently, ensuring consistent latency and throughput, and reducing the need for complex scheduling hardware.
LPU is an end-to-end system designed to provide the fastest inference for applications that require a lot of computation and continuous processing, such as LLM. For example, Groq's LPU chip inference speed is 10 times faster than Nvidia's GPU, costs only 1\/10 of its cost, and runs a large model generating speed of nearly 500 tokens per second, far more than ChatGPT-3.5's speed of about 40 tokens per second.
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LPU chip is a low-power Internet of Things chip, its full name is Low Power Unit, with energy-saving, efficient, reliable characteristics, mainly used in smart home, smart city and other Internet of things applications.
It adopts the system-on-chip design, integrates the processor, memory, communication interface and other functional modules, can achieve heterogeneous multi-core processing, including CPU, DSP, hardware accelerator, etc., support a variety of communication protocols.
LPU chips not only have high reliability and security, but also support online upgrade and expansion, which can meet the needs of the Internet of Things in different scenarios, and have broad application prospects.
LPU chip is an intelligent control chip, its English full name is \"Lighting Processing Unit\