A Language Processing Unit (LPU) is a specialized hardware accelerator designed specifically for sequential language processing tasks, such as LLM inference. LPUs focus on minimizing memory bandwidth bottlenecks to enable extremely high token generation speeds.
Directly governs the hardware efficiency and hardware-level token throughput when deploying ultra-low latency chat apis, real-time agent execution, and interactive translation; optimizing LPU is a major factor in compute cost budgeting.
Language Processing Units (LPUs) are custom hardware accelerators designed specifically to minimize memory access bottlenecks during sequential token generation. Unlike general-purpose GPUs that excel at massive parallel math, LPUs use synchronous compiler scheduling and SRAM storage to feed model weights to processing cores instantly, allowing interactive chat APIs to run at hundreds of tokens per second.
Groq developed the LPU architecture using a software-defined Tensor Streaming Processor.
LPUs use static compiler scheduling to fetch weights instantly, bypassing the memory access latency common in GPUs.
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Groq report serving over 5 million developers processing trillions of token weekly on deterministic LPU hardware.
Seven months after inking a $20 billion chip licensing deal with Nvidia Corp., Groq Inc. today announced that it has raised $650 million in funding. Growth investment firm Disruptive and hedge fund Infinitum led the round. Groq has developed a chip design called the LPU that's specifically...