NVIDIA Deep Learning AMI vs. Knet
A side-by-side comparison based on G2 review data.
| Metric | NVIDIA Deep Learning AMI | Knet |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 10 | 12 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 10.0 | 8.6 |
| Quality of support | 9.4 | 9.1 |
| Meets requirements | 9.3 | 9.4 |
| NPS | 60 | 50 |
| Small Business | 70.0% | 25.0% |
| Mid-Market | 0.0% | 33.3% |
| Enterprise | 30.0% | 41.7% |
| Total page views | 7 | 46 |
| Total LLM citations | 0 | 30 |
NVIDIA Deep Learning AMI
NVIDIA Deep Learning AMI with Support by Terracloudx is a streamlined environment that enables you to run data science, HPC, and deep learning containers tuned specifically for GPUs. Terracloudx decision making is guided by the commitment and effort of our collaborators who continually work to be at the forefront of technology
Knet
Knet (pronounced "kay-net") is a deep learning framework implemented in Julia that allows the definition and training of machine learning models using the full power and expressivity of Julia.