Deep Learning VM Image vs. Akamai Cloud Computing
A side-by-side comparison based on G2 review data.
| Metric | Deep Learning VM Image | Akamai Cloud Computing |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 72 | 410 |
| Ease of use | 8.7 | 9.3 |
| Ease of setup | 8.8 | 9.3 |
| Quality of support | 8.7 | 9.2 |
| Meets requirements | 8.8 | 9.2 |
| NPS | 58.823529 | 73.913043 |
| Small Business | 47.9% | 72.1% |
| Mid-Market | 35.2% | 15.5% |
| Enterprise | 16.9% | 12.4% |
| Total page views | 429 | 1,395 |
| Total LLM citations | 255 | 10,787 |
Deep Learning VM Image
Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine learning needs.
- Ease of Use
- Setup Ease
- AI Integration
- Features
- Integrations
- Easy Setup
Akamai Cloud Computing
Akamai Cloud Computing is a platform and broad set of distributed cloud and edge computing services to help businesses build, deploy, and manage applications and workloads on the world’s most distributed network. Akamai’s distributed cloud computing platform is designed for developers and built by developers. The platform empowers developers to build apps and APIs using open standards designed to maximize portability and avoid lock-in. With core, distributed, and edge services, developers can choose where to deploy and scale compute, data, and security services, based on business needs.
- Ease of Use
- Affordable
- Features
- Setup Ease
- Easy Setup
- User Interface