G2 Vendor Directory

Deep Learning VM Image vs. VMware vSphere

A side-by-side comparison based on G2 review data.

MetricDeep Learning VM Image

by Google

VMware vSphere

by Broadcom

Overall rating4.34.5
Review count72785
Ease of use8.79.1
Ease of setup8.88.8
Quality of support8.78.7
Meets requirements8.89.3
NPS58.82352969.61039
Small Business47.9%15.1%
Mid-Market35.2%41.1%
Enterprise16.9%43.8%
Total page views4291,242
Total LLM citations2554,101

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.

Pros

  • Ease of Use
  • Setup Ease
  • AI Integration
  • Features
  • Integrations
  • Easy Setup

VMware vSphere

VMware vSphere with VCF 9.1 is the enterprise workload engine that modernizes compute infrastructure with a future-ready, scalable infrastructure and simplified management that enables organizations to extract maximum value from their current server investments and hardware footprint, rather than requiring a total refresh. vSphere provides a powerful foundation for modern, AI and traditional workloads, while enabling intrinsic security out-of-the-box.

Pros

  • Ease of Use
  • Virtualization Management
  • Features
  • Management
  • Reliability
  • Stability