Groq

Definition

Groq develops custom AI chips (LPUs) optimized for fast inference, particularly for LLMs.

LPU (Language Processing Unit): - Deterministic, predictable performance - No batching needed - Extremely low latency - High throughput

Speed Claims: - 10x+ faster than GPU inference - Hundreds of tokens per second - Sub-100ms time to first token - Consistent latency

GroqCloud: - API access to fast inference - Supports Llama, Mixtral, etc. - Competitive pricing - Free tier available

Use Cases: - Real-time applications - Conversational AI - High-throughput batch processing - Latency-sensitive workloads

Trade-offs: - Less flexible than GPUs - Specific to inference (not training) - Limited availability

Groq serving Llama 3 at 500+ tokens per second.

Using a trained AI model to make predictions on new, unseen data.

Meta's open-source large language model family, enabling community AI development.