Groq runs language models on its purpose-built LPU (Language Processing Unit) architecture, delivering inference speeds that routinely hit 500-800 tokens per second - ten to twenty times faster than comparable GPU cloud providers. The result is AI responses that feel instant, which matters for voice interfaces, real-time agents, and any application where latency breaks the experience. GroqCloud gives developers OpenAI-compatible API access to Llama, Mixtral, Gemma, and Whisper models at aggressively low prices. The same pricing transparency carries through to their enterprise tier, which adds HIPAA, SOC 2, and GDPR compliance plus on-premises deployment via GroqRack for organizations that can't send data off-site. Groq's value proposition is narrow but decisive: if you need fast inference for open-weight models, it's significantly faster and often cheaper than running the same workloads on AWS, GCP, or Azure GPU instances.