G2 Vendor Directory

Compute with Hivenet vs. Azure Virtual Machine Scale Sets

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

MetricCompute with Hivenet

by Hivenet

Azure Virtual Machine Scale Sets

by Microsoft

Overall rating3.84.5
Review count1530
Ease of use9.59.0
Ease of setup9.69.5
Quality of support8.69.1
Meets requirements8.49.4
NPS13.33333377.777778
Small Business86.7%30.0%
Mid-Market13.3%30.0%
Enterprise0.0%40.0%
Total page views14887
Total LLM citations50453

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 Machine Scale Sets

    Azure Virtual Machine Scale Sets (VMSS) enable the creation and management of a group of load-balanced virtual machines (VMs) that can automatically scale in response to demand or a defined schedule. This service is designed to support large-scale applications, such as batch processing, big data, and container workloads, by allowing users to efficiently deploy and manage thousands of VMs with uniform configurations.

    Pros

    • Services
    • Cloud Storage
    • Simple
    • Ease of Use
    • User Interface
    • Application Development