Replicate vs. Determined AI
A side-by-side comparison based on G2 review data.
| Metric | Replicate | Determined AI |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 25 | 11 |
| Ease of use | 9.0 | 8.0 |
| Ease of setup | 8.9 | 8.6 |
| Quality of support | 8.6 | 8.2 |
| Meets requirements | 8.6 | 8.9 |
| NPS | 69.565217 | 63.636364 |
| Small Business | 72.0% | 54.5% |
| Mid-Market | 28.0% | 36.4% |
| Enterprise | 0.0% | 9.1% |
| Total page views | 294 | 18 |
| Total LLM citations | 224 | 5 |
Replicate
Replicate runs and fine-tune open-source models. Deploy custom models at scale. All with one line of code.
- Ease of Use
- AI Capabilities
Determined AI
Determined AI takes a pragmatic, results-driven approach to deep learning, with a goal of dramatically improving the productivity of deep learning developers. Its integrated AutoML platform simplifies the entire deep learning workflow from data management to model training and deployment.