Predibase
Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler…
Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler defaults for one-off SFT. Strengths: LoRAX multi-adapter serving (many fine-tunes / GPU); Active fine-tune + RFT product vs OpenPipe sunset; Strong open-model post-train story.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler defaults for one-off SFT.
Strengths
- · LoRAX multi-adapter serving (many fine-tunes / GPU)
- · Active fine-tune + RFT product vs OpenPipe sunset
- · Strong open-model post-train story
Weaknesses
- · Pricing transparency uneven
- · Smaller mindshare than Together/Fireworks
- · Enterprise features sales-gated
Pricing notes
As of 2026-09-14: Active managed LoRA/QLoRA + RL fine-tune (Rubrik-era Predibase); LoRAX OSS multi-adapter serving. Public token rates still not a clean first-party matrix — secondary sources cite serverless from ~$0.20/M and A10G-class GPUs ~$1.82/hr. Enterprise/VPC sales-led. Confirm console before quoting.
Sourced pricing
Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=predibase
No sourced SKU row. Notes above stay prose.
Community signals
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