Xilinx Machine Learning vs. Spearmint
A side-by-side comparison based on G2 review data.
| Metric | Xilinx Machine Learning | Spearmint |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 13 | 14 |
| Ease of use | 8.9 | 9.5 |
| Ease of setup | 8.2 | 9.6 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 46.153846 | 78.571429 |
| Small Business | 23.1% | 28.6% |
| Mid-Market | 30.8% | 50.0% |
| Enterprise | 46.2% | 21.4% |
| Total page views | 94 | 17 |
| Total LLM citations | 2 | 13 |
Xilinx Machine Learning
The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.
Spearmint
Spearmint is a software package to perform Bayesian optimization that automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to minimize some objective in as few runs as possible.