G2 Vendor Directory

Compute with Hivenet vs. Azure Virtual Machines

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

MetricCompute with Hivenet

by Hivenet

Azure Virtual Machines

by Microsoft

Overall rating3.84.4
Review count15394
Ease of use9.58.8
Ease of setup9.68.8
Quality of support8.68.6
Meets requirements8.49.1
NPS13.33333358.465608
Small Business86.7%31.1%
Mid-Market13.3%33.2%
Enterprise0.0%35.7%
Total page views148547
Total LLM citations5041,744

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.

Pros

    Azure Virtual Machines

    Azure Virtual Machines (VMs) are scalable, on-demand computing resources provided by Microsoft Azure, enabling users to deploy and manage virtualized Windows and Linux servers in the cloud. These VMs support a wide range of workloads, from simple web applications to complex enterprise solutions, offering flexibility and control over computing resources without the need for physical hardware maintenance.

    Pros

    • Ease of Use
    • Scalability
    • Cloud Storage
    • Security
    • Flexibility
    • Cloud Computing