Alternatives to Quali

Nexcess is a managed cloud hosting solution designed to streamline infrastructure while providing exceptional performance, security, and scalability for essential business applications. This platform integrates cloud hosting, networking, compliance, application management, and automation into a cohesive environment, thereby eliminating the necessity of coordinating multiple vendors or tools. It effectively reduces operational complexities, allowing expert teams to manage orchestration, security, system uptime, and maintenance, which empowers users to concentrate on developing and expanding their applications. With dedicated computing resources, Nexcess guarantees consistent performance and cost predictability, complemented by fixed-cost billing that alleviates the uncertainties typically linked to public cloud services. Furthermore, it incorporates comprehensive governance and compliance functionalities that adhere to standards like HIPAA and PCI-DSS, alongside ongoing security monitoring, firewalls, and DDoS mitigation. Ultimately, Nexcess not only enhances operational efficiency but also ensures that businesses can scale securely and confidently in a rapidly evolving digital landscape.

Servers.com by Nexcess delivers hybrid bare metal cloud hosting solutions that give businesses greater control over their infrastructure while maintaining the flexibility needed to grow. Its portfolio includes Scalable Bare Metal for on-demand capacity, Enterprise Bare Metal for customized deployments, AI Compute for GPU-powered workloads, and Managed Kubernetes for containerized applications. The platform is built to accommodate organizations that require reliable performance, security, and predictable infrastructure management. Through a network of data centers across multiple continents, customers can deploy services closer to their users and minimize latency. Businesses in industries such as gaming, financial services, advertising technology, streaming, SaaS, and Web3 rely on the platform to support high-demand operations. The infrastructure is designed to handle traffic spikes, intensive computing requirements, and geographically distributed workloads. Advanced networking capabilities and direct connectivity options help optimize application responsiveness and uptime. Organizations can combine different infrastructure offerings to create environments that align with their operational and budget requirements. By providing scalable and customizable bare metal solutions, Servers.com helps businesses maintain performance while adapting to changing market demands.

The Qualys TruRisk Platform, previously known as the Qualys Cloud Platform, features an innovative architecture that drives a wide range of cloud applications focused on IT, security, and compliance. With its continuous and always-active assessment capabilities, the Qualys TruRisk Platform allows for real-time, 2-second visibility into your global IT environment, regardless of the location of your assets. Coupled with automated threat prioritization, patch management, and additional response functionalities, it serves as a comprehensive security solution. Whether deployed on-premises, on endpoints, within mobile environments, in containers, or in the cloud, the platform's sensors provide constancy in visibility across all IT assets at every moment. These sensors are designed to be remotely deployed, centrally managed, and self-updating, available as either physical or virtual appliances, or as lightweight agents. By offering an integrated end-to-end solution, the Qualys TruRisk Platform helps organizations sidestep the expenses and complications related to juggling multiple security vendors, ultimately streamlining their security management strategy. This holistic approach ensures that businesses can maintain a robust security posture while focusing on their core operations.

DataLyzer SPC Qualis (a fully-integrated webbased statistical process control (SPC), software) simplifies the task of real-time data gathering, charting and analysis in any manufacturing operation. It provides powerful analysis, reports and dashboards, supports efficient data collection from any source, and delivers programmable shopfloor screens. The solution provides instant operator feedback, real time data entry, and audit traceability to IATF16949, VDA and RM13006 compliance. It has powerful features to be integrated with MES or ERP systems. DataLyzer Qualis integrates with DataLyzer Gage management for calibration and MSA and with DataLyzer FMEA software offering a complete APQP suite.

Cloud automation, cost control and security can all be seamlessly connected to your platform. Users can also access the power of environments through self-service. Your teams will have the infrastructure and resources they need quickly and easily. Developers have instant access to the applications environments they need via their CI/CD tools and GUI. Developers can build in a uniform, standard way without adding unnecessary friction. Reusable building blocks make delivering the application-aware resources developers need easier. Reduce uncertainty, avoid over-spending, tie cloud costs back into your business. Torque is a SaaS platform that automates infrastructure in complex, application-centric environments using cloud technologies such as AWS, Azure and Kubernetes. Quali is trusted by IT leaders and DevOps experts around the globe to enable self-service automation.

All the best practices, none of the bottlenecks Automate multi-cloud provisioning, deployment, policy-driven compliance, and cloud cost management.

GreenNode is a powerful, self-service AI cloud platform designed for enterprises, which centralizes the entire lifecycle of AI and machine learning models—from inception to deployment—utilizing a scalable infrastructure powered by GPUs that caters to contemporary AI demands. It offers cloud-based notebook instances that facilitate coding, data visualization, and teamwork, while also accommodating model training and fine-tuning through versatile computing options, along with a comprehensive model registry for overseeing versions and performance metrics across different deployments. In addition, it boasts serverless AI model-as-a-service capabilities, featuring a library of over 20 pre-trained open-source models that assist in tasks such as text generation, embeddings, vision, and speech, all accessible via standard APIs that allow for rapid experimentation and seamless application integration without the need to develop model infrastructure from the ground up. Moreover, GreenNode enhances model inference with rapid GPU execution and ensures smooth compatibility with various tools and frameworks, thus optimizing performance while providing users with the flexibility and efficiency necessary for their AI initiatives. This platform not only streamlines the AI development process but also empowers teams to innovate and deploy sophisticated models quickly and effectively.

Bluebricks empowers organizations to construct reliable and regulated cloud environments using reusable blueprints, minimizing reliance on DevOps for each request. The platform leverages environment orchestration to integrate seamlessly with existing Infrastructure as Code tools such as Terraform and Helm. By incorporating AI, it ensures consistency and helps eradicate configuration mistakes. Teams benefit from self-service infrastructure provisioning while still upholding centralized governance and security measures across various cloud providers. Supporting platforms like AWS, Google Cloud, Azure, Oracle, and Kubernetes, the solution allows enterprises to simplify intricate deployments into standard, reusable blueprints applicable across different environments. Moreover, its automatic dependency tracking safeguards against breaking changes, and its built-in RBAC and policy enforcement uphold enterprise security standards. In addition, Bluebricks functions as a backend solution for internal developer portals, enabling developers to access infrastructure capabilities without compromising on control or oversight, thus fostering a more efficient development cycle. This balance of autonomy and governance is essential for modern cloud operations.

SwarmOne is an innovative platform that autonomously manages infrastructure to enhance the entire lifecycle of AI, from initial training to final deployment, by optimizing and automating AI workloads across diverse environments. Users can kickstart instant AI training, evaluation, and deployment with merely two lines of code and a straightforward one-click hardware setup. It accommodates both traditional coding and no-code approaches, offering effortless integration with any framework, integrated development environment, or operating system, while also being compatible with any brand, number, or generation of GPUs. The self-configuring architecture of SwarmOne takes charge of resource distribution, workload management, and infrastructure swarming, thus removing the necessity for Docker, MLOps, or DevOps practices. Additionally, its cognitive infrastructure layer, along with a burst-to-cloud engine, guarantees optimal functionality regardless of whether the system operates on-premises or in the cloud. By automating many tasks that typically slow down AI model development, SwarmOne empowers data scientists to concentrate solely on their scientific endeavors, which significantly enhances GPU utilization. This allows organizations to accelerate their AI initiatives, ultimately leading to more rapid innovation in their respective fields.

Novita AI is a comprehensive cloud platform designed for AI developers, startups, and enterprises that need reliable access to models, agents, and GPU infrastructure. The platform offers serverless access to more than 200 AI models through a unified API, secure sandbox environments for running autonomous agents, and dedicated or serverless GPU resources for inference, training, and deployment workloads. Built specifically for AI applications, Novita AI provides production-grade reliability, predictable performance, and seamless scalability without the operational burden of managing complex infrastructure. Developers can build, test, and deploy AI-powered products while benefiting from centralized management, flexible pricing, and enterprise-ready support.

QualiDI is an ETL Test Automation solution that offers a comprehensive platform for centralizing the testing process across multiple ETL tools within an enterprise. This end-to-end ETL Test Automation is crucial for validating data to ensure its accuracy during the transformation from various operational systems to a data warehouse, particularly in complex environments faced with substantial data volumes. By utilizing the QualiDI ETL Testing Automation tool, organizations can streamline their ETL testing process from any source system to any target data warehouse. This empowers developers to work in a consistent and standardized manner, minimizing unnecessary obstacles in their workflow. Furthermore, it helps to eliminate uncertainties, control expenditures, and align cloud-related costs with business objectives. The tool features reusable building blocks that facilitate the delivery of application-aware resources, which are essential for developers' needs. Overall, QualiDI not only enhances testing efficiency but also optimizes resource allocation across the organization.

NCM Self-Service, previously known as Calm, enhances the management, deployment, and scalability of applications in hybrid cloud environments by offering self-service options, automation, and a centralized governance model based on roles. With a simple click, users can access self-service capabilities paired with centralized IT governance that spans both private and public cloud infrastructures. This solution allows for comprehensive automation in the processes of application provisioning, scaling, and overall management. Users can deploy applications while maintaining visibility across different cloud settings, whether they are private or public. Additionally, blueprints can be easily published to end-users via the Nutanix Marketplace and can be developed through a user interface or Python code, facilitating self-service provisioning for intricate applications. The system enables users to provision, configure, scale, upgrade, and remove applications seamlessly across various cloud environments. Starting with the automation of routine lifecycle functions can lead to the creation of complex blueprints tailored to specific needs. By automating hybrid cloud architecture provisioning, organizations can efficiently manage multi-tiered and distributed applications from a unified control plane, ensuring streamlined operations across all cloud environments. This comprehensive approach ultimately empowers teams to achieve greater agility and efficiency in their cloud strategies.

NVIDIA Brev is designed to streamline AI and ML development by delivering ready-to-use GPU environments hosted on popular cloud platforms. With Launchables, users can rapidly deploy preconfigured compute instances tailored to their project’s needs, including GPU capacity, container images, and essential files like notebooks or GitHub repositories. These Launchables can be customized, named, and generated with just a few clicks, then easily shared across social networks or directly with collaborators. The platform includes a variety of prebuilt Launchables that incorporate NVIDIA’s latest AI frameworks, microservices, and Blueprints, allowing developers to get started without delay. NVIDIA Brev also offers a virtual GPU sandbox, making it simple to set up CUDA-enabled environments, run Python scripts, and work within Jupyter notebooks right from a browser. Developers can monitor Launchable usage metrics and leverage CLI tools for fast code editing and SSH access. This flexible, easy-to-use platform accelerates the entire AI development lifecycle from experimentation to deployment. It empowers teams and startups to innovate faster by removing traditional infrastructure barriers.

E2B is an open-source runtime that provides a secure environment for executing AI-generated code within isolated cloud sandboxes. This platform allows developers to enhance their AI applications and agents with code interpretation features, enabling the safe execution of dynamic code snippets in a regulated setting. Supporting a variety of programming languages like Python and JavaScript, E2B offers software development kits (SDKs) for easy integration into existing projects. It employs Firecracker microVMs to guarantee strong security and isolation during code execution. Developers have the flexibility to implement E2B on their own infrastructure or take advantage of the available cloud service. The platform is crafted to be agnostic to large language models, ensuring compatibility with numerous options, including OpenAI, Llama, Anthropic, and Mistral. Among its key features are quick sandbox initialization, customizable execution environments, and the capability to manage long-running sessions lasting up to 24 hours. With E2B, developers can confidently run AI-generated code while maintaining high standards of security and efficiency.

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

Fluidstack is a high-performance AI infrastructure platform built to deliver scalable and secure compute resources for demanding workloads. It provides dedicated GPU clusters that are fully isolated, ensuring consistent performance without shared resource interference. The platform includes Atlas OS, a bare-metal operating system designed for fast provisioning, orchestration, and full control of infrastructure. Fluidstack also offers Lighthouse, a system that monitors, optimizes, and automatically resolves performance issues in real time. Its infrastructure is engineered for speed and reliability, enabling rapid deployment of GPU resources. The platform supports large-scale AI training, inference, and other compute-intensive applications. Fluidstack is designed for enterprises, AI research labs, and government organizations that require advanced computing capabilities. It provides strong security features, including compliance with standards like GDPR, SOC 2, and ISO certifications. The platform offers human support with fast response times to ensure operational stability. Fluidstack enables teams to scale infrastructure efficiently as their needs grow. Overall, it provides a robust and flexible solution for AI-driven computing at scale.

Streamline extensive Azure deployments by consolidating essential environment components, such as Azure Resource Manager templates, role-based access permissions, and policies, into one cohesive blueprint definition. This blueprint can be effortlessly applied to new subscriptions and environments, allowing for refined control and management through versioning. Create comprehensive cloud governance templates, access controls, and policies as a unified, compliant package to ensure that environments are prepped for configuration. With a single click, deploy blueprints across multiple subscriptions, facilitating efficient management from a centralized location while keeping track of blueprint versions for seamless updates. Accelerate the deployment of compliant applications into production using a self-service model, making it simple to establish compliant environments that align with production standards. Additionally, utilize either blank templates for tailored blueprints or pre-existing blueprints that adhere to common internal requirements and external standards, such as ISO 27001, to meet your organizational needs effectively. This flexibility enables organizations to adapt their cloud strategies with ease and confidence.

Planview Verify serves as a comprehensive solution for managing test environments, providing engineering and DevOps teams with immediate insights into configurations, dependencies, and usage throughout the continuous delivery pipeline. By implementing automated workflows and proactive scheduling, it effectively minimizes conflicts, manual delays, misconfigurations, and overall costs while enhancing governance, collaboration, and audit preparedness. This platform centralizes control over environments, enabling teams to better predict expenses, optimize resource use, streamline the provisioning and reservation of environments, and address conflicts before they disrupt testing cycles. Moreover, it guarantees consistent and accurate testing processes, significantly lowering the chances of defects making their way into production. With its robust metrics and dashboards, Planview Verify also fosters improved communication among teams, eradicates workflow bottlenecks, and upholds quality assurance by facilitating rapid code transitions and efficient management of virtualized test data. Ultimately, this solution not only enhances operational efficiency but also supports a culture of continuous improvement within organizations striving for excellence.

Pipeshift is an adaptable orchestration platform developed to streamline the creation, deployment, and scaling of open-source AI components like embeddings, vector databases, and various models for language, vision, and audio, whether in cloud environments or on-premises settings. It provides comprehensive orchestration capabilities, ensuring smooth integration and oversight of AI workloads while being fully cloud-agnostic, thus allowing users greater freedom in their deployment choices. Designed with enterprise-level security features, Pipeshift caters specifically to the demands of DevOps and MLOps teams who seek to implement robust production pipelines internally, as opposed to relying on experimental API services that might not prioritize privacy. Among its notable functionalities are an enterprise MLOps dashboard for overseeing multiple AI workloads, including fine-tuning, distillation, and deployment processes; multi-cloud orchestration equipped with automatic scaling, load balancing, and scheduling mechanisms for AI models; and effective management of Kubernetes clusters. Furthermore, Pipeshift enhances collaboration among teams by providing tools that facilitate the monitoring and adjustment of AI models in real-time.

Cloud cost reductions of 30%, provisioning 150x faster, closing security holes, and deployment of hybrid-cloud automation in record times are some of the benefits. Morpheus provides enterprise agility, control and efficiency through its self-service engine. Quickly enable private cloud access on-prem, centralize public cloud access, orchestrate change using cost analytics, governance policies, and automation. Manage public clouds, create private clouds, consolidate Kubernetes deployments, and manage public clouds. Provision applications from an on-demand catalog, API/CLI, ITSM, or infrastructure-as-code. Simplify authentication, access controls, policies, and security management. Automate lifecycles, streamline workflows, and simplify day-to-day tasks. Inventory brownfields, rightsize resource, track cloud spend, and centralize visibility.

Qualys Web Application Firewall (WAF) is a service based on virtual appliances designed to streamline application security while minimizing operational costs and complexity. Utilizing a cohesive platform, it consistently identifies threats using proprietary inspection logic and rulesets, and can provide virtual patches for web application vulnerabilities as necessary. Its straightforward, scalable, and flexible methodology enables rapid blocking of web application attacks, safeguarding sensitive information from exposure, and regulating access to your applications. Qualys WAF can function independently or in conjunction with Qualys Web Application Scanning (WAS), which enhances the process of discovering and addressing web application vulnerabilities efficiently, regardless of whether you manage a few applications or many. By employing Qualys WAS for scanning and enabling one-click virtual patches for any identified vulnerabilities in the WAF, users can oversee everything from a centralized cloud portal, ensuring seamless management. Moreover, the deployment of Qualys WAF can be completed in just minutes, and it offers support for SSL/TLS, further enhancing its security capabilities. This combination of features makes it a robust solution for protecting web applications in today’s ever-evolving threat landscape.

Appvia Wayfinder provides a dynamic solution to manage your cloud infrastructure. It gives your developers self-service capabilities that let them manage and provision cloud resources without any hitch. Wayfinder's core is its security-first strategy, which is built on principles of least privilege and isolation. You can rest assured that your resources are safe. Platform teams rejoice! Centralised control allows you to guide your team and maintain organisational standards. But it's not just business. Wayfinder provides a single pane for visibility. It gives you a bird's-eye view of your clusters, applications, and resources across all three clouds. Join the leading engineering groups worldwide who rely on Appvia Wayfinder for cloud deployments. Do not let your competitors leave behind you. Watch your team's efficiency and productivity soar when you embrace Wayfinder!

k0rdent is a Kubernetes-native platform engineering solution designed to unify and simplify distributed container infrastructure. Built as a fully open-source environment, it helps organizations manage multi-cluster and multi-cloud operations with consistency and control. By leveraging Kubernetes and Cluster API, k0rdent provides a portable and vendor-neutral foundation for modern application platforms. The platform allows teams to assemble custom developer platforms using validated, composable components and reusable templates. Declarative configuration and continuous reconciliation ensure clusters remain compliant and self-healing over time. k0rdent accelerates developer onboarding through self-service environments with minimal learning curves. It integrates seamlessly with GitOps and modern CI/CD pipelines to reduce manual operations. Unified observability improves insight into system health and resource usage. Policy-driven automation strengthens security and compliance across environments. k0rdent enables teams to scale infrastructure reliably while reducing cost and operational complexity.

NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.

HPC-AI is a cutting-edge enterprise AI infrastructure and GPU cloud service crafted to enhance the training of deep learning models, facilitate inference, and manage extensive compute tasks with impressive performance and cost-effectiveness. The platform offers an AI-optimized stack that is pre-configured for swift deployment and real-time inference, adeptly handling demanding tasks that necessitate high IOPS, ultra-low latency, and significant throughput. It establishes a strong GPU cloud environment tailored for artificial intelligence, high-performance computing, and various compute-heavy applications, equipping teams with essential tools to execute complex workflows effectively. Central to the platform's offerings is its software, which prioritizes parallel and distributed training, inference, and the fine-tuning of expansive neural networks, aiding organizations in lowering infrastructure expenses while preserving high performance. Additionally, technologies like Colossal-AI contribute to its capabilities, drastically speeding up model training and enhancing overall productivity. This combination of features helps organizations remain competitive in the rapidly evolving landscape of artificial intelligence.

Modular is an advanced AI infrastructure platform that unifies the entire inference stack, from hardware-level optimization to cloud deployment. It allows developers to run AI models seamlessly across multiple hardware types, including NVIDIA, AMD, and other architectures. The platform eliminates the need for fragmented tools by providing a single system for serving, optimization, and scaling. Modular delivers high-performance inference with improved efficiency and reduced costs through better hardware utilization. It supports flexible deployment options, including managed cloud services, private VPC environments, and self-hosted setups. Developers can deploy both open-source and custom models with ease while maintaining full control over performance. The platform’s compiler technology automatically optimizes workloads for different hardware targets. Modular also enables real-time scaling and efficient resource allocation for demanding AI applications. Its unified approach simplifies infrastructure management while improving reliability and performance. Overall, Modular empowers teams to build, deploy, and scale AI systems more effectively.

Centific has developed a cutting-edge AI data foundry platform that utilizes NVIDIA edge computing to enhance AI implementation by providing greater flexibility, security, and scalability through an all-encompassing workflow orchestration system. This platform integrates AI project oversight into a singular AI Workbench, which manages the entire process from pipelines and model training to deployment and reporting in a cohesive setting, while also addressing data ingestion, preprocessing, and transformation needs. Additionally, RAG Studio streamlines retrieval-augmented generation workflows, the Product Catalog efficiently organizes reusable components, and Safe AI Studio incorporates integrated safeguards to ensure regulatory compliance, minimize hallucinations, and safeguard sensitive information. Featuring a plugin-based modular design, it accommodates both PaaS and SaaS models with consumption monitoring capabilities, while a centralized model catalog provides version control, compliance assessments, and adaptable deployment alternatives. The combination of these features positions Centific's platform as a versatile and robust solution for modern AI challenges.

Phonilab offers a comprehensive solution tailored for managing repair shops with features including QualiRépar, sales tracking, invoicing, online quotes, subscription management, insurance certificate handling, vehicle purchases, expense tracking, VAT management, inventory control, calendar scheduling, SMS marketing, and social media review prompts, along with notifications via SMS, WhatsApp, and email. By utilizing Phonilab, you can effectively showcase your skills and cultivate customer loyalty, adeptly handle online quote requests from various platforms, boost your revenue through SMS marketing and remote quoting solutions, automate the reimbursement process for QualiRépar, and streamline your financial tracking, including turnover, cash flow, profit margins, and accounting reports. The platform not only enhances operational efficiency but also opens up new avenues for customer engagement and revenue growth. With Phonilab, you can focus on what truly matters: delivering exceptional service while managing your business seamlessly and effectively.

WhiteFiber operates as a comprehensive AI infrastructure platform that specializes in delivering high-performance GPU cloud services and HPC colocation solutions specifically designed for AI and machine learning applications. Their cloud services are meticulously engineered for tasks involving machine learning, expansive language models, and deep learning, equipped with advanced NVIDIA H200, B200, and GB200 GPUs alongside ultra-fast Ethernet and InfiniBand networking, achieving an impressive GPU fabric bandwidth of up to 3.2 Tb/s. Supporting a broad range of scaling capabilities from hundreds to tens of thousands of GPUs, WhiteFiber offers various deployment alternatives such as bare metal, containerized applications, and virtualized setups. The platform guarantees enterprise-level support and service level agreements (SLAs), incorporating unique cluster management, orchestration, and observability tools. Additionally, WhiteFiber’s data centers are strategically optimized for AI and HPC colocation, featuring high-density power, direct liquid cooling systems, and rapid deployment options, while also ensuring redundancy and scalability through cross-data center dark fiber connectivity. With a commitment to innovation and reliability, WhiteFiber stands out as a key player in the AI infrastructure ecosystem.

VMware Private AI Foundation is a collaborative, on-premises generative AI platform based on VMware Cloud Foundation (VCF), designed for enterprises to execute retrieval-augmented generation workflows, customize and fine-tune large language models, and conduct inference within their own data centers, effectively addressing needs related to privacy, choice, cost, performance, and compliance. This platform integrates the Private AI Package—which includes vector databases, deep learning virtual machines, data indexing and retrieval services, and AI agent-builder tools—with NVIDIA AI Enterprise, which features NVIDIA microservices such as NIM, NVIDIA's proprietary language models, and various third-party or open-source models from sources like Hugging Face. It also provides comprehensive GPU virtualization, performance monitoring, live migration capabilities, and efficient resource pooling on NVIDIA-certified HGX servers, equipped with NVLink/NVSwitch acceleration technology. Users can deploy the system through a graphical user interface, command line interface, or API, thus ensuring cohesive management through self-service provisioning and governance of the model store, among other features. Additionally, this innovative platform empowers organizations to harness the full potential of AI while maintaining control over their data and infrastructure.

OneSource Cloud specializes in the design, construction, and management of sovereign AI infrastructure tailored for organizations in regulated sectors that cannot utilize public cloud for sensitive operations, such as healthcare and life sciences, financial services, government and defense, energy, legal, and research sectors. Our services include the provision of dedicated GPU compute as a managed offering, encompassing cluster design, hardware acquisition, data center colocation, deployment, and ongoing maintenance. The clusters are equipped with NVIDIA GPUs connected via InfiniBand for efficient multi-node training and inference, complemented by high-performance storage solutions and dedicated private networking. Each client benefits from a unique, isolated environment that ensures their data and models do not share hardware with other users, safeguarding their confidentiality. Our managed services extend to capacity planning, provisioning, workload scheduling, system monitoring, patching, and customer support. Each environment is meticulously configured to meet the client’s compliance standards, including regulations such as NIST 800-171 and specific data residency requirements. Currently, we operate over 20,000 GPUs across more than 96 data centers, ensuring robust support for our clients' complex needs in an increasingly data-sensitive landscape. This extensive infrastructure positions us as a leader in providing secure AI solutions for organizations facing strict regulatory demands.

MontyCloud presents an autonomous CloudOps platform that aims to streamline the management and operations of cloud resources. This solution allows IT teams to efficiently provision, oversee, and operate AWS infrastructure without requiring advanced cloud expertise. Users benefit from extensive visibility into their cloud inventories, ensuring security, compliance, and cost management, which enables organizations to enhance their cloud environments effectively. Additionally, it offers dedicated cloud project workspaces and sandbox environments, allowing secure access to cloud services. The platform incorporates autonomous governance through subtle guardrails, enhancing cloud security, compliance, and cost efficiency while ensuring adherence to established best practices. Users can achieve comprehensive visibility and control across their cloud resources and services, facilitating insights into resource utilization, performance metrics, and financial expenditures to support informed decision-making. By simplifying the management and monitoring of cloud environments, organizations can maintain thorough oversight of access, security, and compliance, further ensuring their cloud operations are both effective and efficient in the long run.

ComputeSDK is an open-source toolkit available at no cost, specifically crafted to empower developers to execute external or user-generated code within their applications through a cohesive and standardized interface. With a TypeScript-native API, it simplifies the process by seamlessly integrating various compute providers, enabling developers to transition between platforms such as E2B, Vercel, Daytona, Modal, and others while keeping their primary codebase intact. This toolkit is constructed around isolated sandbox environments, which guarantee that the executed code operates securely without affecting the host infrastructure, thereby making it ideal for applications that necessitate controlled execution of potentially untrusted code. Additionally, ComputeSDK offers essential functionalities, including the execution of code and shell commands, filesystem management, the ability to create and dismantle sandboxes, and compatibility with modern web frameworks like Next.js, Nuxt, and SvelteKit. Furthermore, its design ensures that developers can focus on building robust applications without worrying about security vulnerabilities associated with running external code.

Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.

Hyperstack, the ultimate self-service GPUaaS Platform, offers the H100 and A100 as well as the L40, and delivers its services to the most promising AI start ups in the world. Hyperstack was built for enterprise-grade GPU acceleration and optimised for AI workloads. NexGen Cloud offers enterprise-grade infrastructure for a wide range of users from SMEs, Blue-Chip corporations to Managed Service Providers and tech enthusiasts. Hyperstack, powered by NVIDIA architecture and running on 100% renewable energy, offers its services up to 75% cheaper than Legacy Cloud Providers. The platform supports diverse high-intensity workloads such as Generative AI and Large Language Modeling, machine learning and rendering.

Mogenius offers an all-in-one platform that integrates visibility, observability, and automation for effective Kubernetes management. By connecting and visualizing your Kubernetes clusters and workloads, it ensures that the entire team has access to crucial insights. You can easily pinpoint misconfigurations within your workloads and take corrective measures directly through the mogenius interface. The platform streamlines Kubernetes operations with features like service catalogs, enabling developer self-service, and creating ephemeral environments. This self-service capability simplifies the deployment process for developers, allowing them to work more efficiently. Additionally, mogenius helps optimize resource allocation and prevents configuration drift through the use of standardized, automated workflows. By eliminating redundant tasks and promoting the reuse of resources with service catalogs, your team can enhance productivity. Gain complete visibility into your Kubernetes infrastructure and deploy a cloud-agnostic Kubernetes operator for a holistic view of your clusters and workloads. Furthermore, developers can quickly establish local and ephemeral testing environments that replicate the production setup in just a few clicks, ensuring a seamless development experience. Ultimately, mogenius empowers teams to manage their Kubernetes environments with greater ease and efficiency.

You can now effectively manage your temporary one-day resources within the CloudSandboxes environment, allowing for significant savings of up to 80%. To oversee the resources generated during a demonstration, it's essential to monitor them closely. Set up these one-day resources in a dedicated sandbox environment, where CloudSandboxes will handle the cleanup process at the end of each business day. As the demand for cloud-certified professionals increases, preparation for certification exams can be facilitated in a safe and cost-effective sandbox solution. The resources established for this purpose will be thoroughly cleaned up by CloudSandboxes, ensuring a tidy environment. Additionally, architects can experiment with cloud resources prior to their integration into user stories, utilizing these temporary assets within the sandbox solution to prevent clutter in development and testing environments. CloudSandboxes will securely manage the closure of your one-day resources, and there are no limitations on how you can utilize the platform. With CloudSandboxes, you can efficiently oversee all your temporary resources and rest assured that they will be properly handled when the day comes to a close. This approach not only optimizes resource management but also enhances overall productivity in cloud operations.

NetApp AIPod presents a holistic AI infrastructure solution aimed at simplifying the deployment and oversight of artificial intelligence workloads. By incorporating NVIDIA-validated turnkey solutions like the NVIDIA DGX BasePOD™ alongside NetApp's cloud-integrated all-flash storage, AIPod brings together analytics, training, and inference into one unified and scalable system. This integration allows organizations to efficiently execute AI workflows, encompassing everything from model training to fine-tuning and inference, while also prioritizing data management and security. With a preconfigured infrastructure tailored for AI operations, NetApp AIPod minimizes complexity, speeds up the path to insights, and ensures smooth integration in hybrid cloud settings. Furthermore, its design empowers businesses to leverage AI capabilities more effectively, ultimately enhancing their competitive edge in the market.

CUDO Compute is an enterprise AI infrastructure company delivering large scale GPU capacity on the latest generation hardware for organisations that require predictable, production ready AI environments. Operating at the intersection of Land, Power and Compute, CUDO Compute helps organisations build and scale AI environments with the speed, reliability and engineering expertise required for modern AI workloads. From dedicated GPU clusters and high performance networking to sovereign AI deployments, CUDO enables organisations to move from experimentation to production with confidence.

CloudBolt, the most popular cloud management platform for enterprises, is available. CloudBolt is easy to deploy and allows IT to unify orchestration and automate provisioning their hybrid cloud resources quickly, cost-effectively and securely. It also provides developers with anywhere, any time access to these resources through a self service catalog.

Cake AI serves as a robust infrastructure platform designed for teams to effortlessly create and launch AI applications by utilizing a multitude of pre-integrated open source components, ensuring full transparency and governance. It offers a carefully curated, all-encompassing suite of top-tier commercial and open source AI tools that come with ready-made integrations, facilitating the transition of AI applications into production seamlessly. The platform boasts features such as dynamic autoscaling capabilities, extensive security protocols including role-based access and encryption, as well as advanced monitoring tools and adaptable infrastructure that can operate across various settings, from Kubernetes clusters to cloud platforms like AWS. Additionally, its data layer is equipped with essential tools for data ingestion, transformation, and analytics, incorporating technologies such as Airflow, DBT, Prefect, Metabase, and Superset to enhance data management. For effective AI operations, Cake seamlessly connects with model catalogs like Hugging Face and supports versatile workflows through tools such as LangChain and LlamaIndex, allowing teams to customize their processes efficiently. This comprehensive ecosystem empowers organizations to innovate and deploy AI solutions with greater agility and precision.

Conventional endpoint detection and response (EDR) systems concentrate solely on the activities within endpoints to identify potential threats. This narrow focus results in a lack of comprehensive context, hindering accurate attack analysis and resulting in an incomplete understanding of security incidents, alongside a propensity for numerous false positives and negatives. Consequently, organizations find themselves needing to deploy various point solutions and maintain large teams for incident response. Qualys addresses these limitations by introducing a novel multi-vector approach, leveraging the robust capabilities of its scalable Cloud Platform to enhance EDR with essential context and extensive visibility across the entire attack lifecycle—from prevention through detection to response. The Qualys Multi-Vector EDR integrates various contextual elements such as asset discovery, a detailed software inventory, insights into end-of-life assets, vulnerabilities, exploitable conditions, misconfigurations, comprehensive endpoint telemetry, and network accessibility, all supported by a powerful backend that facilitates accurate correlation for effective assessment, detection, and response—all within a single cloud-based application. This approach not only streamlines the process but also empowers organizations to respond more effectively to threats.

Parasail is a network designed for deploying AI that offers scalable and cost-effective access to high-performance GPUs tailored for various AI tasks. It features three main services: serverless endpoints for real-time inference, dedicated instances for private model deployment, and batch processing for extensive task management. Users can either deploy open-source models like DeepSeek R1, LLaMA, and Qwen, or utilize their own models, with the platform’s permutation engine optimally aligning workloads with hardware, which includes NVIDIA’s H100, H200, A100, and 4090 GPUs. The emphasis on swift deployment allows users to scale from a single GPU to large clusters in just minutes, providing substantial cost savings, with claims of being up to 30 times more affordable than traditional cloud services. Furthermore, Parasail boasts day-zero availability for new models and features a self-service interface that avoids long-term contracts and vendor lock-in, enhancing user flexibility and control. This combination of features makes Parasail an attractive choice for those looking to leverage high-performance AI capabilities without the usual constraints of cloud computing.

Whim is a cloud-based development workspace designed for deploying AI coding agents with remarkable speed and efficiency. It provides developers the ability to operate AI coding agents such as Claude Code and Codex within isolated cloud containers, rather than relying on local machines. Each assignment is allocated a dedicated sandboxed Ubuntu environment, offering complete shell access, isolated git branches, and real-time terminal streaming. This setup facilitates seamless integration of AI coding agents into the daily operations of developers and teams, promoting parallelism, collaboration, and eliminating the need for local configuration. Users can easily link a repository, compose a prompt, and the AI agent begins its tasks within a protected cloud container that is accessible from any device. Additionally, multiple tasks can be executed at once, enabling experimentation with various strategies, focusing on different features, or allowing an orchestrator to manage a team of agents without interference. Whim also supports native CLI runtimes for Claude and GPT models, with plans to incorporate more models via OpenRouter in the future. This versatility positions Whim as a powerful tool for enhancing productivity in software development environments.

QualiBooth helps organizations build and maintain accessible digital experiences through automated testing, continuous monitoring, and developer-focused remediation tools. Real-Time Monitoring and Scheduled Scanning identify accessibility barriers and provide insights to support WCAG, EAA, and ADA compliance. QualiBooth's Agora testing workbench helps developers investigate issues and uses AI to explain their causes and suggest potential fixes. Static Code Analysis and CI/CD integration help teams detect accessibility problems earlier in development. From production monitoring to developer remediation, QualiBooth enables organizations to make accessibility a continuous part of their development process.