Compute with Hivenet vs. VMware vSphere
A side-by-side comparison based on G2 review data.
| Metric | Compute with Hivenet | VMware vSphere |
|---|---|---|
| Overall rating | 3.8 | 4.5 |
| Review count | 15 | 785 |
| Ease of use | 9.5 | 9.1 |
| Ease of setup | 9.6 | 8.8 |
| Quality of support | 8.6 | 8.7 |
| Meets requirements | 8.4 | 9.3 |
| NPS | 13.333333 | 69.61039 |
| Small Business | 86.7% | 15.1% |
| Mid-Market | 13.3% | 41.1% |
| Enterprise | 0.0% | 43.8% |
| Total page views | 148 | 1,242 |
| Total LLM citations | 504 | 4,101 |
Compute with Hivenet
Compute with Hivenet is a GPU cloud computing service that provides on-demand access to modern GPUs for artificial intelligence, machine learning, deep learning, rendering, and scientific modeling. Delivered through Hivenet’s distributed cloud platform, it replaces traditional data centers with a global network of devices, making GPU computing more cost-efficient and sustainable. Hivenet’s Compute is designed for developers, researchers, and businesses who need reliable GPU performance without vendor lock-in or long-term contracts.
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.
- Ease of Use
- Virtualization Management
- Features
- Management
- Reliability
- Stability