Solving LLM Latency: Why LPUs Are Replacing GPUs for Real-Time AI**

LLMs generate text: one token at a time. But here’s the problem: GPUs were built for parallel processing, not sequential generation.

• Result?
• High latency
• Batch processing delays
• Inconsistent response times

That’s the gap LPUs solve. LPUs (Language Processing Units), pioneered by Groq, are designed specifically for how LLMs actually work:

• Token-by-token streaming
• Ultra-low latency
• Deterministic performance
• Real-time response

Why this matters? If you're building:

• AI Agents
• Chatbots 
• RAG systems
• Real-time copilots

Latency = user experience

And LPUs fundamentally change that.

Key takeaway: GPUs are great for training. LPUs are built for inference. 

Different purpose. Massive impact.

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