Best Infrastructure as a Service (IaaS) Software - Page 23

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

Total Products under this Category: 427

Category Stats (Oct 2026)

  • Average Rating: 4.36/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Kamatera (+5.88%) - Among all products in this category, Kamatera recorded the largest rating increase compared to last month

Last updated: October 20, 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
  • 16,800+ Authentic Reviews
  • 427+ 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, Acronis Cyber Protect Cloud, Akamai Cloud Computing, 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=acronis-cyber-protect-cloud&focus%5B%5D=akamai-cloud-computing&focus%5B%5D=digitalocean&focus%5B%5D=google-compute-engine&focus%5B%5D=azure-virtual-machines)

Proxylity UDP Gateway

Proxylity provides fully managed, serverless infrastructure for UDP-based applications. Proxylity UDP Gateway™ gives applications a globally available network endpoint for UDP, DTLS, and WireGuard traffic and delivers that traffic directly to services in the customer's AWS account. Proxylity is delivered as a SaaS offering through the AWS Marketplace. UDP Gateway has AWS Qualified Software status and has completed AWS's Foundational Technical Review (FTR). Proxylity's architecture and engineering practices are aligned with the AWS Well-Architected Framework, including the Serverless Applications and SaaS Lenses. The service is designed to eliminate the need for customers to operate dedicated servers, VM fleets, or container clusters for UDP workloads. Proxylity operates the network infrastructure required to receive, secure, route, and deliver UDP traffic, while application processing and persistent data remain in the customer's AWS environment. Customer traffic can be delivered to AWS Lambda, Step Functions, Kinesis, DynamoDB, S3, CloudWatch, and other AWS services. This separation allows customers to use Proxylity for network connectivity while retaining control of their application logic, data, IAM policies, and AWS environment. Proxylity is designed with security, reliability, and operational simplicity as core architectural requirements. Customer application data is not stored by Proxylity; processing and storage are performed within the customer's AWS account. The service operates across multiple AWS Regions and is designed without single points of failure in its delivery and control planes. Proxylity's goal is straightforward: make developing and operating services that use UDP as simple and low risk as developing and operating services that use HTTP.

Who Is the Company Behind Proxylity UDP Gateway?

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?

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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®

QuantCAD-Hybrid

QuantCAD-Hybrid is an advanced offline-first CAD/CAM estimation and industrial automation software designed for engineering workshops and CNC machining specialists. It features independent 3D STEP feature extraction, precise Material Removal Rate (MRR) calculation, and a local AI-powered copilot running entirely offline to ensure absolute data confidentiality. QuantCAD-Hybrid streamlines order management, automated quote generation, and tool catalog integration without transmitting sensitive CAD data to the cloud.

Who Is the Company Behind QuantCAD-Hybrid?

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 a cloud built for AI agents to operate, at agent speed, not human speed. Give an agent one cloud operation: deploy an app, integrate two apps, fix an incident. Every operation is agent and cloud time combined. We cut agent thinking to almost zero, and the waiting for the cloud to a minimum, so machines run at agent speed.

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

Rendercraft: AI lifestyle photos from your 3D models

Turn your 3D models into photorealistic product photos. Create lifestyle images from your existing 3D assets — without a photoshoot. Your product keeps its real shape and proportions; the AI creates the scene around it.

Who Is the Company Behind Rendercraft: AI lifestyle photos from your 3D models?

RentaSoft

Who Is the Company Behind RentaSoft?

  • Seller: PROMEG
  • HQ Location: Salignac Sur Charente, FR
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

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®

RoofRender

RoofRender shows a homeowner their new roof on a photo of their own house. A roofer uploads one photo from a phone, picks a material and color, and gets a photorealistic render in about 20 seconds. Only the roof changes; the house, the light and the camera angle stay as they were. The catalog covers 17+ roofing materials and 75+ colors, from architectural shingle to standing seam, tile and slate, including named Owens Corning Oakridge and Duration, IKO Dynasty and Higgins Steel lines. Specific products are added on request. Every render has a share link the homeowner can open on any device. Growth and Pro plans add a website widget that collects homeowner leads, plus a REST API and an MCP server. Pro adds custom widget branding and a CRM webhook. RoofRender runs in the browser with nothing to install. Plans start at $97 a month, and you can try it free first.

Who Is the Company Behind RoofRender?

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated May 18, 2026