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Predibase

Platform for fine-tuning and serving open-source LLMs (now part of Rubrik)

coding#llm-fine-tuning#model-serving#open-source-llm#acquired
Free trial API Self-hosted Teams
Toolglade’s take

Important status note: Predibase was acquired by Rubrik, announced in June 2025 (reported at roughly $100M-$500M), and is being integrated into Rubrik's agentic AI and data-security stack. That makes it a strong technical platform for fine-tuning and serving open-source LLMs, but no longer an independent company. Anyone evaluating Predibase should verify current product availability, packaging, and pricing directly with Rubrik, since offerings may be transitioning post-acquisition.

About Predibase

Predibase is a platform for fine-tuning and serving open-source LLMs on proprietary enterprise data, known for efficient LoRA-based fine-tuning, reinforcement fine-tuning, and cost-effective inference of many fine-tuned adapters. It was acquired by Rubrik in 2025 and is being integrated into Rubrik's agentic AI and data-security offerings. As a result, buyers should evaluate it as part of Rubrik and confirm current availability and pricing directly with the company.

Predibase built a platform to help enterprises take open-source LLMs from proof-of-concept to production. Its focus areas included efficient fine-tuning (including LoRA-based methods and, later, reinforcement fine-tuning), scalable inference with techniques for serving many fine-tuned adapters cost-effectively, and tooling to customize models on a company's proprietary data to reduce hallucinations and cost. The platform grew out of open-source roots associated with the Ludwig and LoRAX projects. In June 2025, Rubrik announced an agreement to acquire Predibase to accelerate enterprise adoption of agentic AI, moving customers from pilots to production. Reporting indicated a purchase price in the range of roughly $100 million to $500 million (terms were not officially disclosed). Rubrik's stated goal is to combine Predibase's fine-tuning and inference capabilities with its own secure data and governance tooling to power generative AI agents. Because of the acquisition, prospective buyers should treat Predibase as part of Rubrik rather than an independent vendor. Product availability, packaging, and pricing may have changed or be transitioning under Rubrik, so anyone evaluating Predibase today should confirm the current status, roadmap, and commercial terms directly with Rubrik.

TL;DR

Predibase is a platform for fine-tuning and efficiently serving open-source LLMs on proprietary data, with strengths in LoRA-based and reinforcement fine-tuning and cost-effective adapter serving. It was acquired by Rubrik in 2025 (announced June, reported ~$100M-$500M) and is being integrated into Rubrik's agentic AI and data-security offerings. Evaluate it as part of Rubrik rather than an independent vendor, and confirm current availability and pricing directly. It suits enterprises customizing open models for production.

Company overview

Predibase was founded to help enterprises operationalize open-source LLMs, building on open-source projects including Ludwig and LoRAX. It focused on efficient fine-tuning and scalable, low-cost inference.

In June 2025, Rubrik announced an agreement to acquire Predibase to accelerate enterprise adoption of agentic AI. As of August 2026, Predibase operates as part of Rubrik, with its technology being folded into Rubrik's secure data and governance platform.

Product features

Predibase's platform centered on fine-tuning open-source LLMs (supervised and reinforcement fine-tuning) and serving many task-specific adapters cost-effectively, using techniques that make hosting numerous fine-tuned models economical. It supported deployment options such as running in a customer's VPC for data control.

Under Rubrik, these capabilities are positioned to power generative AI agents backed by Rubrik's secure data lake and governance tooling, with integrations to enterprise AI platforms.

Target market

Enterprises and technical teams that want to customize and deploy open-source LLMs on proprietary data in production, particularly those prioritizing cost efficiency and data control.

Buyer personas

End users

ML engineers and data scientists fine-tuning and deploying custom LLMs.

Buyers

Enterprise AI/platform leaders and, post-acquisition, Rubrik customers building agentic AI.

Key influencers

Security, governance, and data-infrastructure stakeholders evaluating in-VPC deployment.

Ideal customer profile

Enterprises standardizing on open-source LLMs for production who value cost-efficient serving, data control, and (post-acquisition) integration with Rubrik's data-security stack.

Funding & performance

Predibase raised venture funding prior to acquisition (rounds included seed and Series A/B financing from investors reported to include Felicis and Greylock). It was acquired by Rubrik, announced June 25, 2025, with reported terms of roughly $100M-$500M (not officially disclosed). Verify specifics directly.

Pros & cons

Pros

  • Strong fine-tuning and efficient adapter-serving technology
  • Open-source heritage (Ludwig, LoRAX)
  • Reinforcement fine-tuning support
  • Designed for enterprise production and data control
  • Now backed by Rubrik's resources and go-to-market
  • Can reduce inference costs versus proprietary APIs

Cons

  • Acquired by Rubrik, so it is no longer independent
  • Product packaging and pricing may be transitioning
  • Requires ML expertise to get the most value
  • No permanent free plan
  • Roadmap now tied to Rubrik's strategy
  • Buyers must confirm current availability with Rubrik

Pricing plans

Trial / Evaluation
Contact vendor
  • Evaluate fine-tuning and serving
  • Access to base models
  • Limited usage
  • Subject to Rubrik integration status
Enterprise
Custom (via Rubrik)
  • Fine-tuning and adapter serving
  • VPC / secure deployment options
  • Reinforcement fine-tuning
  • Integration with Rubrik data-security stack
  • Dedicated support

Key features

API
Team collaboration
Self-hosted
Integrations
Hugging Face, LoRAX, Ludwig, AWS, VPC deployment
Input types
text
Output types
text
Best For
Fine-tuning open-source LLMs on proprietary data, Cost-efficient inference for many adapters, Reinforcement fine-tuning, Enterprise production LLM deployment

Compare key features

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Feature
Predibase
Anyscale
vLLM
Pricing
Paid
Freemium
Free
Free plan
No
Yes
Yes
Free trial
Yes
Yes
No
API
Yes
Yes
Yes
Self-hosted
Yes
No
Yes
Team support
Yes
Yes
No

Frequently asked questions

Is Predibase still an independent company?+

No. Predibase was acquired by Rubrik, announced in June 2025. Its technology is being integrated into Rubrik's agentic AI and data-security offerings, so evaluate it as part of Rubrik.

What was Predibase known for?+

Efficient fine-tuning of open-source LLMs (including LoRA-based and reinforcement fine-tuning) and cost-effective serving of many fine-tuned adapters, with roots in the open-source Ludwig and LoRAX projects.

How much did Rubrik pay for Predibase?+

Terms were not officially disclosed, but reporting indicated a price in the range of roughly $100 million to $500 million.

Can I still use Predibase?+

Predibase capabilities continue under Rubrik, but product availability, packaging, and pricing may be transitioning. Confirm current access and terms directly with Rubrik.

Does Predibase support data privacy?+

Predibase supported deployment options like running in a customer's VPC for data control, and Rubrik emphasizes secure, governed data pipelines as part of the combined offering.

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