Is Groq’s Reign Over? Cerebras Sets a New Speed Record!
AI Summary
Summary of Video Transcript
- Comparison of Inference Speeds:
- Cerebrus recently introduced their inference API, which is faster than Gro.
- Cerebrus’s custom hardware and training models offer up to 450 tokens per second for the 70 billion version of Lama 3.1.
- This speed is 20 times faster than H100 GPUs on hyperscale clouds and costs 1/5th as much.
- Performance Metrics:
- Cerebrus claims their wafer-scale technology provides the fastest inference speeds.
- They offer full 16-bit precision for inference, which is not common among other providers.
- A graph shows Cerebrus as the most cost-effective and fastest inference provider, with 60 cents per million tokens for Lama 3.17 billion.
- Inference Speed Test:
- The test prompt was to list all US governors from 1920 to 2024.
- Gro’s 8 billion model reached a context limit, providing 750 tokens per second.
- Cerebrus’s 8 billion model reached a similar limit but provided 1,800 tokens per second.
- The 70 billion model test also hit context limits, with Cerebrus again outperforming Gro in speed.
- Model Quality and Quantization:
- Different quantization levels and hyperparameters can affect model performance.
- Cerebrus’s blog post discusses the impact of quantization on LLM performance.
- Benchmarks show stark differences in performance between providers for the same model.
- Cerebrus’s models performed better in code evaluation and multi-turn conversations.
- API and Production Considerations:
- Cerebrus’s API offers an 8,000 token context window for the free tier.
- The API standard allows for a drop-in replacement for other services.
- The video creator has not yet accessed the API but is on the waitlist.
- Conclusion:
- Cerebrus’s faster inference speeds could enable real-time interactions.
- Gro was previously the leader in this space, and competition is now heating up.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.