Predibase
Fine-tune and serve hundreds of custom language models efficiently
Target Audience
- AI/ML developers
- Enterprise engineering teams
- LLM operations specialists
- Cost-conscious AI teams
Hashtags
Overview
Predibase helps developers customize and deploy specialized AI models without breaking the bank. It lets teams adapt open-source language models for specific tasks using cost-effective infrastructure, offering enterprise-grade control while avoiding vendor lock-in. You can test models instantly, apply advanced tuning techniques, and serve multiple specialized models on a single GPU – all while keeping data secure in your own cloud environment.
Key Features
Adaptive Fine-Tuning
Optimized training with quantization and low-rank adaptation
Multi-Model Serving
Serve 100s of models on one GPU with LoRAX technology
Cost Control
Achieve GPT-4 quality at GPT-3.5 pricing
Cloud Flexibility
Deploy in your VPC or Predibase's cloud
Open Source First
Supports Llama-3, Mistral, Phi-3 and other models
Use Cases
Customize AI models for specific tasks
Serve multiple models on single GPU
Enterprise-grade model security
Reduce AI costs by 100x
Prototype with free 1M daily tokens
Pros & Cons
Pros
- Dramatic cost savings vs commercial LLMs
- Enterprise security with SOC-2 compliance
- Flexible cloud deployment options
- State-of-the-art fine-tuning techniques
Cons
- Requires technical ML expertise to use effectively
- Primarily optimized for smaller language models
- Self-hosted option needs infrastructure management
Pricing Plans
Pro
monthlyFeatures
- Shared serverless inference
- 1M tokens/day free tier
- Basic support
Enterprise
monthlyFeatures
- Private GPU deployments
- SOC-2 compliance
- VPC support
- Model export rights
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Can I export my trained models?
Enterprise/VPC customers can download and export models at any time
Is there a free tier?
Free shared serverless inference up to 1M tokens/day for prototyping
How does it compare to GPT-4?
Claims comparable quality at lower cost through specialized fine-tuning
Integrations
Reviews for Predibase
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