Fireworks AI’s Post

🔥 Announcing FireOptimizer/Multi-LoRA 🔥 I didn't expect what I considered to be a small feature launched last year delivered a powerful impact to our customers. I'm excited to announce Multi-LoRA, an important component of FireOptimizer. Personalized experiences are critical to driving greater usage, retention and customer satisfaction for your product. Without Multi-LoRA, deploying hundreds of fine-tuned models on separate GPUs would be prohibitively expensive. With Multi-LoRA, you can now deliver personalized experiences across thousands of users and use cases, without scaling your costs! More specifically, Multi-LoRA has benefits below: -- Fine-tune and serve hundreds of personalized LoRA models at the same cost as a single base model, which is just $0.2/1M tokens for Llama3.1 8B -- 100x cost-efficiency compared to serving 100 fine-tuned models without Multi-LoRA on other platforms with per-GPU pricing -- Convenient deployment on Fireworks Serverless with per-token pricing and competitive inference speeds, or Fireworks On-Demand and Reserved for larger workloads Multi-LoRA is part of FireOptimizer, our adaptation engine designed to customize and enhance AI model performance for your unique use cases and workload. FireOptimizer capabilities include Adaptive Speculative Execution (https://lnkd.in/ejdD-wGG), that enables up to 3x latency improvements, Customizable Quantization (https://lnkd.in/dwpTU233), to precisely balance speed and quality, and LoRA Fine-Tuning (https://lnkd.in/et2UFzDy) to customize and improve model performance. ⚡Cresta uses Multi-LoRA to personalize their Knowledge Assist feature for each individual customer on the Fireworks enterprise platform. "Fireworks' Multi-LoRA capabilities align with Cresta's strategy to deploy custom AI through fine-tuning cutting-edge base models. It helps unleash the potential of AI on private enterprise data." - Tim Shi, Co-Founder and CTO of Cresta ⚡Brainiac Labs helps businesses leverage their proprietary data to fine-tune and deploy models using Multi-LoRA on the Fireworks self-serve platform. “Using Fireworks, clients with limited AI expertise can successfully maintain and improve the solutions I provide. Additionally, students in my course are able to complete real-world fine-tuning projects, dedicating just a few hours per week to the process.” - Scott Kramer, CEO of Brainiac Labs 👉 Read more in our blog post https://lnkd.in/d3_HGRqy