Predibase alternatives
Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler…
Overall 7.89 (curated_estimate, medium) · score asOf 2026-09-14 · last reviewed 2026-09-14. This is not an Elo and not a live price board. Provider · JSON
Jobs: open-model-inference, finetune, lora-serving-distillation
| Provider | Why listed | Overall | Δ vs subject | asOf |
|---|---|---|---|---|
| Fireworks AI Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not… | same_jtbd_pick, same_jtbd_runner · open-model-inference, finetune, lora-serving-distillation | 8.35high | +0.46 | 2026-09-14 |
| Together AI Best catalog breadth for OSS models. Watch minimums and lifetime spend gates before you design around a gated… | same_jtbd_runner, same_jtbd_pick · open-model-inference, finetune, lora-serving-distillation | 8.2high | +0.31 | 2026-09-14 |
| Unsloth Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect… | same_jtbd_runner · finetune, lora-serving-distillation | 8.52high | +0.63 | 2026-09-14 |
| Hugging Face Inference Perfect for Hub-native workflows and custom models. For hard production latency, graduate to… | same_jtbd_runner · open-model-inference, finetune | 7.95high | +0.06 | 2026-09-14 |
| Lightning AI Use when the team already lives in Lightning/PyTorch notebooks. Together/Unsloth remain Depot finetune… | same_jtbd_runner · finetune, lora-serving-distillation | 7.93high | +0.04 | 2026-09-14 |
| Modal Depot darling for Python agent backends and bursty GPU jobs. If you think in functions not VMs, start here. | same_jtbd_runner · finetune | 8.44high | +0.55 | 2026-10-19 |
| FriendliAI Open-model production peer when latency/tool-calling matter. Fireworks remains depot open-model default… | same_jtbd_runner · open-model-inference | 8.03high | +0.14 | 2026-10-01 |
| Groq Use when latency is the product. Do not build your whole company on one Groq model SKU — they rotate. | same_jtbd_runner · open-model-inference | 7.95high | +0.06 | 2026-09-14 |
| DeepInfra Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume… | same_jtbd_runner · open-model-inference | 7.95high | +0.06 | 2026-09-14 |
| Chutes Budget open-model overflow with a now-pinned public TEE matrix. Depot open-model production pick stays… | same_jtbd_runner · open-model-inference | 7.29high | -0.6 | 2026-09-14 |
Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): open-model-inference, finetune, lora-serving-distillation.
Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.