Groq
By Groq, Inc.
Groq is an AI infrastructure company known for its custom LPU (Language Processing Unit) chips and GroqCloud API, which deliver very low-latency inference for large language models compared to typical GPU-based serving.
Definition
Groq is an AI infrastructure company known for its custom LPU (Language Processing Unit) chips and GroqCloud API, which deliver very low-latency inference for large language models compared to typical GPU-based serving.
Overview
Groq differentiates itself from most AI inference providers by building custom silicon — the LPU — specifically optimized for the sequential, deterministic nature of transformer-based LLM inference, rather than relying on general-purpose GPUs. This architecture allows Groq to achieve notably fast token-generation speeds for supported models, which matters for latency-sensitive applications like real-time voice assistants and interactive agents. Developers access Groq's inference speed through GroqCloud, an API that hosts popular open-source models such as Llama and Mixtral, generally following a familiar chat-completion style interface similar to other LLM providers. This makes it straightforward to swap Groq in as a backend for applications originally built against other inference APIs, when raw response speed is a priority. Groq competes in the broader field of high-performance LLM inference alongside platforms like Together AI and Fireworks AI, but its distinguishing factor is the underlying custom hardware rather than software-only optimization of GPU serving.
Key Features
- Custom LPU (Language Processing Unit) chips designed specifically for LLM inference
- GroqCloud API providing hosted access to popular open-source models
- Very low per-token latency compared to typical GPU-based inference
- Chat-completion style API compatible with common LLM application patterns
- Deterministic, high-throughput execution suited to real-time applications
- Focus on inference speed rather than model training or fine-tuning