Alternatives to Quali

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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!

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Brainboard is an innovative AI-powered platform tailored for cloud architects, DevOps professionals, and platform engineers, allowing them to visually design, deploy, and manage multi-cloud infrastructures while effortlessly generating Infrastructure as Code. It provides compatibility with leading cloud providers and features robust integration with Terraform/OpenTofu, permitting users to drag-and-drop architectural diagrams that are immediately converted into functional Terraform code, promoting the approach of "design first, code when necessary." Additionally, the platform encompasses essential features like CI/CD pipelines specifically for infrastructure, drift detection, versioning, and role-based access controls, all aimed at ensuring governance, consistency, and enhanced collaboration among teams. Furthermore, Brainboard facilitates the development of reusable service-catalog templates, empowering internal teams to independently provision validated and compliant infrastructure, thereby reducing their dependency on central DevOps resources. This not only streamlines workflows but also fosters innovation and agility within organizations.

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.

Core Scientific provides specialized, high-density colocation infrastructure along with advanced software solutions tailored for demanding computational tasks like AI, machine learning, high-performance computing, and digital asset mining. The company offers scalable high-density computing environments with a power capacity exceeding 1.3 GW, ensuring quicker deployment times and enhanced cooling and power systems specifically designed for intensive workloads. Its digital mining services include proprietary fleet management software that can oversee up to one million miners, along with features for real-time thermal monitoring and hash-price economic analysis to maximize profitability. Additionally, Core Scientific integrates high-density racks (ranging from 50 to over 200 kW per rack) with robust enterprise-grade infrastructure, supporting a diverse range of applications including AI model training and inference, cloud computing, financial services analytics, critical government systems, and healthcare research initiatives. This comprehensive approach allows Core Scientific to meet the diverse needs of its clients while maintaining a focus on efficiency and performance.

Suga serves as a versatile engineering tool and developer platform that transforms traditional infrastructure into a self-service environment, allowing developers to swiftly launch applications while maintaining governance and control for platform teams. It offers intuitive drag and drop deployment workflows; platform teams can establish reusable components—referred to as “plugins” or “blueprints”—including services, databases, and storage options, which developers can then use freely within predefined parameters to create applications. Additionally, local development is facilitated through “cloud-accurate services and data,” enabling developers to refine their projects without the necessity of complete cloud resources. Suga is equipped with essential features such as secure entry points, service ingress, infrastructure agents, and an AI assistant known as “Suga AI,” which aids in transforming user prompts into architectural configurations. Furthermore, platform engineers have the capability to deploy infrastructure updates that enhance all applications, ensuring that consistency is maintained across the board. This streamlined approach not only accelerates development but also fosters better collaboration between developers and platform teams.

Cloud Shell provides an interactive shell environment designed for Google Cloud, enabling users to explore and experiment with Google Cloud services while managing their projects and resources directly from a web browser. This service comes equipped with the Google Cloud CLI and essential utilities that are pre-installed, authenticated, and consistently updated, ensuring you have access to the tools you need at any time. Additionally, Cloud Shell features an integrated code editor that enhances the Cloud Code experience, allowing developers to create, build, debug, and deploy applications entirely within the cloud. Users can also access interactive tutorials, work with cloned repositories, and preview web applications seamlessly on a virtual machine instance provided by Cloud Shell, making it an invaluable resource for cloud development. These capabilities make it easier for both beginners and experienced developers to effectively utilize Google Cloud's powerful features.

Instill Core serves as a comprehensive AI infrastructure solution that effectively handles data, model, and pipeline orchestration, making the development of AI-centric applications more efficient. Users can easily access it through Instill Cloud or opt for self-hosting via the instill-core repository on GitHub. The features of Instill Core comprise: Instill VDP: A highly adaptable Versatile Data Pipeline (VDP) that addresses the complexities of ETL for unstructured data, enabling effective pipeline orchestration. Instill Model: An MLOps/LLMOps platform that guarantees smooth model serving, fine-tuning, and continuous monitoring to achieve peak performance with unstructured data ETL. Instill Artifact: A tool that streamlines data orchestration for a cohesive representation of unstructured data. With its ability to simplify the construction and oversight of intricate AI workflows, Instill Core proves to be essential for developers and data scientists who are harnessing the power of AI technologies. Consequently, it empowers users to innovate and implement AI solutions more effectively.

Qualys Cloud Security offers a vulnerability analysis plug-in specifically designed for the CI/CD tool Jenkins, with plans to expand to additional platforms such as Bamboo, TeamCity, and CircleCI in the near future. Users can conveniently download these plug-ins straight from the container security module. This integration allows security teams to engage in the DevOps workflow, ensuring that vulnerable images are blocked from entering the system, while developers receive practical insights to address vulnerabilities effectively. It is possible to establish policies aimed at preventing the inclusion of vulnerable images in repositories, with settings adjustable based on factors like vulnerability severity and particular QIDs. The plug-in also provides an overview of the build, detailing vulnerabilities, information on software that can be patched, available fixed versions, and the specific image layers affected. Given that container infrastructure is inherently immutable, it is essential for containers to be consistent with the original images they are created from, thus necessitating rigorous security measures throughout the development lifecycle. By implementing these strategies, organizations can enhance their ability to maintain secure and compliant container environments.

Nutanix Prism serves as a unified control plane and multi-cloud management interface that greatly simplifies the administration of various environments operating on the Nutanix Cloud Platform. It provides a cohesive and user-friendly interface that enables the discovery and management of Nutanix applications across on-premises, edge, and cloud settings. With its extensive insights into compute, storage, and network resources, Prism facilitates effective infrastructure management. Among its features are machine learning-driven alerts, root cause analysis, and intelligent resource scheduling, all designed to enhance performance and swiftly tackle potential problems. Furthermore, the self-service functionalities of Prism empower users to provision resources in a secure and efficient manner, thus promoting scalability while ensuring robust security measures are in place. By incorporating these diverse capabilities, Nutanix Prism not only boosts operational efficiency but also alleviates the challenges often associated with managing hybrid multi-cloud environments. This comprehensive tool ultimately transforms the way organizations handle their cloud operations.

GMI Cloud empowers teams to build advanced AI systems through a high-performance GPU cloud that removes traditional deployment barriers. Its Inference Engine 2.0 enables instant model deployment, automated scaling, and reliable low-latency execution for mission-critical applications. Model experimentation is made easier with a growing library of top open-source models, including DeepSeek R1 and optimized Llama variants. The platform’s containerized ecosystem, powered by the Cluster Engine, simplifies orchestration and ensures consistent performance across large workloads. Users benefit from enterprise-grade GPUs, high-throughput InfiniBand networking, and Tier-4 data centers designed for global reliability. With built-in monitoring and secure access management, collaboration becomes more seamless and controlled. Real-world success stories highlight the platform’s ability to cut costs while increasing throughput dramatically. Overall, GMI Cloud delivers an infrastructure layer that accelerates AI development from prototype to production.