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Cloudflare Blog·Jun 15·5 min read
Growing the Cloudflare AI team with talent from Ensemble AI
TL;DR
As AI models grow larger and more complex, serving them efficiently becomes a challenge. Ensemble AI developed NdLinear, a replacement for standard linear layers in transformer models, which maintains model structure while reducing resource demands.
✦ Why It Matters
Engineers can leverage NdLinear to optimize AI model deployment, reducing costs and improving efficiency.
Key Takeaways
- Explore NdLinear for efficient model architecture.
- Consider NdLinear-LoRA for fine-tuning large models.
- Focus on reducing inference costs in AI applications.
- Utilize Cloudflare's enhanced AI infrastructure for deployment.
Full Summary
AI models are increasingly integral to application development, but their growing size leads to higher costs and resource demands for inference, which is the process of running a model to make predictions. Ensemble AI, founded in 2023, has focused on addressing these challenges by creating NdLinear, a drop-in replacement for standard linear layers in transformer models.
NdLinear operates on multidimensional activations, preserving the structure of neural networks while reducing the number of parameters and computational requirements. Additionally, Ensemble developed NdLinear-LoRA, an efficient method for fine-tuning large models with fewer trainable parameters.
These innovations allow for more compact and efficient AI models, making them easier to deploy at scale. By incorporating Ensemble's expertise, Cloudflare aims to enhance its AI infrastructure, making it more accessible and cost-effective for developers worldwide.