Best Infrastructure as a Service (IaaS) Software - Page 16

How Many Infrastructure as a Service (IaaS) Software Products Does G2 Track?

Total Products under this Category: 272

Category Stats (Sep 2026)

  • Average Rating: 4.35/5 (↓0.02 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Runpod (+1.94%) - Among all products in this category, Runpod recorded the largest rating increase compared to last month

Last updated: September 26, 2026

How Does G2 Rank Infrastructure as a Service (IaaS) Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 16,600+ Authentic Reviews
  • 272+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Infrastructure as a Service (IaaS) Software

G2 Grid® for Infrastructure as a Service (IaaS) Software plotting products by satisfaction and market presence

Highlighted products: VMware Cloud Foundation (VCF), Amazon EC2, VMware vSphere, Akamai Cloud Computing, Acronis Cyber Protect Cloud, DigitalOcean, Google Compute Engine, and Azure Virtual Machines.

Underlying data: [Grid® JSON](https://www.g2.com/categories/infrastructure-as-a-service-iaas/grids.json?focus%5B%5D=vmware-cloud-foundation-vcf&focus%5B%5D=amazon-ec2&focus%5B%5D=vmware-vsphere&focus%5B%5D=akamai-cloud-computing&focus%5B%5D=acronis-cyber-protect-cloud&focus%5B%5D=digitalocean&focus%5B%5D=google-compute-engine&focus%5B%5D=azure-virtual-machines)

Prime Intellect

Prime Intellect is a platform that democratizes AI development by aggregating global compute resources, enabling researchers and developers to train state-of-the-art models through distributed training across clusters. By facilitating access to scalable and cost-effective GPU resources, Prime Intellect empowers users to collaboratively develop and co-own open AI innovations, ranging from large language models to scientific breakthroughs.

Who Is the Company Behind Prime Intellect?

Private GPU Cloud

Who Is the Company Behind Private GPU Cloud?

  • Seller: Cloudalize
  • Year Founded: 2010
  • HQ Location: Gent, BE
  • Twitter: @Cloudalize
    835 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Property Strength

Property Strength: end-to-end solution for Real Estate Developers. Simplify processes like sales, bookings, real time property inventory, Brokerage, client service, payment milestones, tax, allotment, transfers, invoicing collections and much more.

Who Is the Company Behind Property Strength?

PyTorch CPU MKL Production

PyTorch CPU MKL Production is a pre-configured and fully integrated software stack that combines PyTorch, an open-source machine learning library, with the Python programming language. Designed for high-performance tasks, this stack is optimized for CPU usage, making it suitable for both short and long-running machine learning workloads. It offers a stable and production-ready environment, ensuring long-term support and regular updates. Key Features and Functionality: - High-Performance Execution Environment: Optimized for training and inference tasks on CPU, providing efficient performance for machine learning applications. - Integrated and Tested Software Packages: Includes carefully integrated and tested software components with new features and bug fixes, ensuring reliability and up-to-date functionality. - Stability and Long-Term Support: Offers a stable environment with long-term support and regular updates, making it suitable for production use. Primary Value and User Solutions: PyTorch CPU MKL Production simplifies the deployment of machine learning models by providing a ready-to-use, optimized environment. Users can focus on developing and training models without the overhead of configuring and maintaining the underlying infrastructure. This solution addresses the need for a reliable, high-performance CPU-based platform for machine learning tasks, ensuring stability and efficiency in production settings.

Who Is the Company Behind PyTorch CPU MKL Production?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • Twitter: @jetware_io
    25 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

QingCloud

QingCloud's Elastic High-Performance Computing (EHPC service is a cloud-based platform designed to provide scalable, efficient, and secure high-performance computing resources. It caters to a wide range of industries, including scientific research, engineering simulations, life sciences, and artificial intelligence, enabling users to perform complex computations without the need for substantial infrastructure investments. Key Features and Functionality: - High-Performance Computing Resources: EHPC utilizes industry-leading Intel Xeon 6258R CPUs, delivering single-core performance up to 86.4 GFlops, and offers GPU configurations with NVIDIA A100 cards for enhanced computational capabilities. - Flexible Storage Solutions: The platform integrates the Lustre commercial version, a high-performance parallel file system, providing GB-level throughput and millions of IOPS, ensuring efficient data handling. - Dedicated High-Speed Networking: EHPC employs dedicated InfiniBand (IB networks, facilitating high-speed communication between compute nodes and storage, with internal network bandwidth reaching up to 100 Gbps, supporting large-scale parallel processing with low latency. - Elastic Scalability: Users can dynamically adjust computing resources based on workload demands, allowing for on-demand configuration and efficient resource utilization without the need for scheduling, enabling immediate use. - Comprehensive Software Support: EHPC offers over 300 pre-installed applications across various domains, including molecular dynamics, electronic structure calculations, and more, with support for user-defined software installations, ensuring flexibility and adaptability to specific computational needs. - Simplified Operations and Maintenance: The platform handles all aspects of cluster maintenance, network security, and hardware management, allowing users to focus solely on their research and computational tasks without operational concerns. Primary Value and User Solutions: QingCloud EHPC addresses the challenges associated with traditional high-performance computing, such as high costs, complex maintenance, and limited scalability. By offering a cloud-based, elastic, and high-performance computing environment, EHPC enables users to: - Reduce Costs: By eliminating the need for significant hardware investments and offering a pay-as-you-go model, users can access cutting-edge computing resources cost-effectively. - Enhance Efficiency: The platform's high-performance resources and scalable architecture allow for faster computation times, accelerating research and development processes. - Ensure Security and Reliability: With multi-tenant isolation mechanisms and compliance with network security standards, EHPC provides a secure and reliable computing environment, safeguarding user data and operations. Overall, QingCloud EHPC empowers organizations and researchers to perform complex computations efficiently and securely, facilitating innovation and discovery across various fields.

Who Is the Company Behind QingCloud?

QTS CloudRamp

Simply and efficiently host and move workloads between AWS and dedicated colocation in compliant, state-of-the-art QTS data centers.

Who Is the Company Behind QTS CloudRamp?

  • Seller: QTS Realty Trust
  • Year Founded: 2005
  • HQ Location: Sterling, US
  • Twitter: @DataCenters_QTS
    4,838 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,638 employees on LinkedIn®

RackCorp Virtual Servers

RackCorp provides dedicated servers and virtual servers hosting services.

Who Is the Company Behind RackCorp Virtual Servers?

Rackdog

Rackdog is a global bare metal server provider specializing in low-latency, high-bandwidth infrastructure solutions for demanding workloads. Across 12+ data center locations, Rackdog helps teams deploy, manage, and scale bare metal without friction.

Who Is the Company Behind Rackdog?

RackWorks VPS

RackWorks VPS is virtual private server hosting software that offers KVM virtualization, LXC containers, and Windows RDP environments. The platform operates from a Detroit data center connected to Detroit-IX with BGP peers, establishing [redacted] relies on NVMe and SSD technology without spinning disks, while network ports deliver consistent bandwidth. Servers include dedicated IPv4 addresses, IPv6 subnets, and reverse DNS support. Provisioning completes within minutes of setup. Hardware consists of Dell enterprise-grade equipment with Dual Intel Xeon Gold processors. KVM supports Linux, FreeBSD, and OpenBSD operating systems, while LXC optimizes Linux workloads. Windows RDP provides desktop environments with Windows Server editions. A one-click marketplace deploys applications such as WordPress and Docker. Backups protect data, and support staff offer direct assistance. The platform includes flexible scaling options and uptime guarantees.

Who Is the Company Behind RackWorks VPS?

RadixArk

An infrastructure-as-a-service platform providing AI inference and training systems built on SGLang and Miles frameworks for faster model serving and reinforcement learning.

Who Is the Company Behind RadixArk?

redu.cloud - Cloud Infrastructure

redu.cloud is an agent-native, EU-hosted cloud for developers, startups, and teams building with AI. Point your AI coding agent at a project through the redu MCP and it deploys to real infrastructure: virtual machines you can SSH into, managed PostgreSQL and Redis, private networks, backups, and autoscaling clusters, all billed by the hour. These are real servers your agent operates and can fix in place, not a locked sandbox, so deployments self-heal and keep running. redu works with any MCP-capable agent (Claude Code is a common example) and offers EU data residency, transparent pricing, and a real person behind the platform, without the complexity or surprise bills of the large hyperscalers. It is also built for open-source stacks: deploy and self-host the tools you already want, for analytics, monitoring, support, automation, local AI, databases, and backend services, on infrastructure you control. redu.cloud helps teams ship real products to a live URL in minutes and operate them with confidence.

Who Is the Company Behind redu.cloud - Cloud Infrastructure?

Rescale

Rescale‚ enables engineers and scientists to run their most demanding software on the world‚ largest cloud network for bigcompute and cloudHPC.

Who Is the Company Behind Rescale?

  • Seller: Rescale
  • Year Founded: 2011
  • HQ Location: San Francisco, California, United States
  • Twitter: @RescaleInc
    1,699 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    228 employees on LinkedIn®

Riverbed SteelHead Cloud

Riverbed SteelHead Cloud is a cloud-based solution designed to enhance the performance and efficiency of applications and data transfers within Infrastructure-as-a-Service (IaaS) environments. By leveraging advanced data, transport, and application streamlining techniques, SteelHead Cloud accelerates the migration and access to workloads hosted on leading platforms such as Microsoft Azure, AWS, and Oracle Cloud. This acceleration results in faster time-to-market, improved employee productivity, and maximized cloud value for businesses. Key Features and Functionality: - Multi-Platform Support: Operates seamlessly across major IaaS platforms, including Microsoft Azure, AWS, and Oracle Cloud, ensuring broad compatibility and flexibility. - Data Streamlining: Optimizes data transfer processes to reduce latency and bandwidth usage, facilitating faster and more efficient data movement. - Transport Streamlining: Enhances network transport protocols to mitigate the effects of latency and congestion, improving overall network performance. - Application Streamlining: Accelerates application performance by optimizing the delivery of application data, resulting in a more responsive user experience. - Versatile Workload Acceleration: Supports a wide range of workloads, including internal data center applications (e.g., collaborative tools, email, SharePoint), line-of-business applications (e.g., mission-critical apps, disaster recovery), media streaming, tiered storage solutions, and web applications. Primary Value and User Benefits: SteelHead Cloud addresses common challenges associated with cloud adoption, such as data transfer inefficiencies, application latency, and network congestion. By accelerating data movement and application performance, it enables organizations to: - Enhance Productivity: Employees experience faster access to applications and data, leading to improved efficiency and satisfaction. - Reduce Costs: Optimized data transfers and application performance can lead to lower bandwidth usage and reduced operational expenses. - Increase Agility: Faster migration and access to cloud-hosted workloads allow businesses to respond more swiftly to market demands and opportunities. - Ensure Security: Built-in optimization techniques help maintain data integrity and security during transfers, supporting compliance with industry standards. By implementing Riverbed SteelHead Cloud, organizations can overcome the complexities of cloud migration and operation, ensuring that their cloud investments deliver maximum value and performance.

Who Is the Company Behind Riverbed SteelHead Cloud?

  • Seller: Riverbed Technology
  • Year Founded: 2002
  • HQ Location: San Francisco, CA
  • Twitter: @RIVERBED
    23,829 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,590 employees on LinkedIn®
Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated May 18, 2026