Groq

Groq accelerates LLM inference with custom hardware, offering low-latency, high-throughput AI for real-time applications.

Key Features:

• Custom AI chips
• Low-latency inference
• High-throughput processing
• API compatibility
• Scalable infrastructure
• Energy efficiency

Use Cases:

• Real-Time Apps: Power chatbots.
• APIs: Accelerate AI endpoints.
• Prototyping: Test high-speed AI.
• Enterprise: Deploy scalable AI.
• Research: Run large-scale models.

Summary:
Groq’s hardware-driven speed is unmatched, but its focus on inference limits model training capabilities.