Predibase
Fine-tune/serve open LLMs — now folded into Rubrik Agent Cloud
Overview
Predibase built LoRA fine-tuning and multi-adapter serving (LoRAX) for open-source LLMs. Rubrik's acquisition closed February 2026; predibase.com now redirects to Rubrik's Agent Cloud governance product, though the underlying platform still runs at app.predibase.com.
Use cases
What you can produce with Predibase
- LoRA fine-tuning for open-source LLMs (Llama, Mistral, etc.)
- LoRAX: open-source multi-adapter serving (1000s of LoRAs per GPU)
- Reinforcement fine-tuning support
- SDK + UI for end-to-end fine-tune-and-serve workflow
- Data connectors: S3, Snowflake, Databricks, file upload
- Now integrated into Rubrik's Agent Cloud governance platform
ASEAN Perspective
Predibase in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Predibase built a genuinely strong fine-tuning and serving stack for open-source LLMs: LoRA-based fine-tuning (including reinforcement fine-tuning), and LoRAX, its open-source system for serving hundreds of LoRA adapters off a single GPU. Founded by engineers out of Google and Uber, it earned a following among ML teams that wanted production-grade small-model deployment without building the inference infrastructure themselves.
Rubrik's roughly $100-500M acquisition, which closed in February 2026, changes the picture: predibase.com's marketing site now redirects entirely to Rubrik's 'Agent Cloud' product, a governance and rollback layer for AI agents, not the original fine-tuning platform. The underlying tech (app.predibase.com, LoRAX) appears to still function, but anyone evaluating this as a standalone fine-tuning SaaS should confirm current access and pricing directly — the product as reviewed here is being folded into a different Rubrik-branded pitch.
What people say
Predibase's G2 listing exists but review volume is low enough that search results don't surface a clean star rating or count — a familiar pattern for enterprise ML infrastructure sold through sales calls rather than self-serve signup. G2's pros-and-cons page references user feedback without enough independent volume to quote numbers confidently.
What's better documented is the acquisition. Rubrik announced its deal for Predibase on 25 June 2025, reported by multiple outlets at between $100M and $120M (some estimates ran to $500M), explicitly framed around 'agentic AI' — giving Rubrik's backup-and-recovery customers a way to fine-tune and govern models on their own data instead of depending entirely on frontier-model APIs. The deal closed in February 2026, timed to coincide with Rubrik's separate 'Agent Rewind' launch (a tool for undoing bad agent actions), and Predibase's fine-tuning and serving technology now underpins Rubrik's broader 'Agent Cloud' pitch alongside SAGE, Rubrik's semantic AI-governance engine.
Before the acquisition, Predibase's technical reputation was solid: founded by engineers with backgrounds at Google and Uber, its core differentiator was LoRAX, an open-source multi-LoRA serving framework (Apache 2.0, still on GitHub under predibase/lorax) that lets a single GPU serve thousands of fine-tuned adapters — a real cost advantage over spinning up one deployment per fine-tune. The platform supported common data connectors (S3, Snowflake, Databricks) and both SDK and UI workflows for the full fine-tune-to-serve pipeline, plus a 30-day, $25-credit free trial for evaluation.
Post-acquisition, the commercial story is murkier: predibase.com's own pricing and docs pages now 301-redirect to Rubrik's Agent Cloud marketing, and the standalone per-token/per-second fine-tuning pricing that used to be public is no longer easy to find outside a sales conversation. Existing Predibase customers reportedly kept using the platform through the transition, but new evaluators should expect a Rubrik-led sales process rather than a self-serve signup. Rubrik itself is publicly traded (NYSE: RBRK), which at least means the parent company's finances and roadmap commitments are more visible than a typical startup acquirer's.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Predibase's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Predibase unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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