About

Predibase is a serverless fine-tuning and inference platform built on the LoRAX open-source serving framework, enabling developers to fine-tune and deploy custom large language models efficiently. The platform supports parameter-efficient fine-tuning methods like LoRA across a variety of open-source base models, and can serve hundreds of fine-tuned adapters from a single GPU deployment. Predibase is designed for teams that need to create specialized models for domain-specific tasks without managing complex ML infrastructure.

Tool Details Freemium

Pricing Freemium, from $0.22/GPU-hour
Free Plan Yes
API Available Yes
4.6 1 vote

AI Reviews

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4.6 /5
Predibase is a standout platform for fine-tuning large language models, making the process remarkably accessible without sacrificing power. Built on top of Ludwig and LoRAX, it enables efficient fine-tuning and serving of multiple LoRA adapters on shared GPU infrastructure, which significantly reduces costs compared to dedicated deployments. The platform supports popular open-source models like Llama, Mistral, and others, with a streamlined workflow from data upload to deployment. Its API is well-documented and straightforward, allowing seamless integration into existing pipelines. The freemium pricing starting at $0.22/GPU-hour is competitive and lowers the barrier to entry for teams exploring fine-tuning. Strengths include excellent multi-adapter serving efficiency, a clean UI for experiment tracking, and strong support for parameter-efficient fine-tuning methods. Limitations include a narrower model selection compared to some competitors and less flexibility for custom training loops. For teams that want production-ready fine-tuned LLMs without managing infrastructure, Predibase delivers exceptional value.

Category Ratings

LLM Fine-Tuning
4.6
Feb 15, 2026
AI-Generated Review Generated via Anthropic API. This is an automated evaluation, not a consumer review. Learn more
Predibase Screenshot

Added: Feb 15, 2026

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