Groq

Groq is the AI inference company that has redefined what is possible in terms of large language model generation speed — building custom Language Processing Units that deliver token generation rates so far beyond what GPU-based systems can achieve that they represent a qualitatively different class of AI inference infrastructure. Founded in 2016 by Jonathan Ross — the engineer at Google who created the original Tensor Processing Unit — Groq was built around a singular architectural insight: that the dominant approach to AI inference, which relies on GPUs designed for graphics workloads, is fundamentally misaligned with the memory bandwidth and data movement patterns of transformer-based language models. The LPU was designed from first principles to eliminate those inefficiencies. Groq's LPU architecture achieves its extraordinary inference speeds through a deterministic execution model that eliminates the scheduling unpredictability and memory access variability that limits GPU inference performance. Where GPU-based systems must manage complex memory hierarchies, cache misses, and dynamic scheduling decisions that introduce latency and throughput variability at scale, Groq's LPU executes with clockwork precision — delivering consistent, predictable throughput that enables real-time AI applications with sub-second latency at scales that GPU-based systems cannot match at comparable cost. The result is AI inference that feels instantaneous to users in a way that GPU-based systems simply cannot replicate. Groq's GroqCloud platform — which provides API access to leading open-source models including Llama, Mixtral, and Gemma running on Groq's inference infrastructure — has attracted developers seeking the fastest possible inference for applications where response latency is a meaningful user experience differentiator, including conversational AI, real-time code completion, interactive education platforms, and financial data analysis. The company's hardware is equally compelling for enterprise on-premises deployment in environments where data privacy requirements preclude the use of cloud-based inference services. For any organization building AI applications where inference speed is a product requirement rather than merely an operational preference, Groq offers capabilities that redefine what the state of the art looks like.