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Machine Learning Software
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation.
Machine Learning as a Service Software
Machine Learning as a Service (MLaaS) platforms provide users with cloud-based access to pre-trained models and algorithms for predictive analytics and data analysis. MLaaS makes machine learning accessible by eliminating the need to develop and maintain complex infrastructure, instead allowing users to leverage remote computing resources in order to generate insights quickly and easily. These platforms vary in terms of features, services and pricing, offering different combinations designed to cater to a range of user needs.
Workload Automation Software
Workload automation software helps organizations streamline and manage repetitive tasks, scheduling and automating workflows across various applications and systems. It enables businesses to automate data processing, batch jobs, and other time-sensitive tasks, reducing the need for manual intervention. By centralizing and orchestrating these tasks, workload automation software improves operational efficiency, reduces errors, and ensures timely completion of critical processes. The software often includes monitoring and alerting capabilities, allowing IT teams to identify and resolve issues proactively. Ultimately, workload automation enhances productivity, optimizes resource utilization, and supports compliance with operational standards.
Deep Learning Software
Deep learning software provides tools and frameworks for developing, training, and deploying artificial neural networks, particularly for complex tasks such as image and speech recognition, natural language processing (NLP), and autonomous systems. These platforms leverage large datasets and powerful computational resources to enable machines to learn patterns and make predictions. Popular deep learning software includes frameworks like TensorFlow, PyTorch, Keras, and Caffe, which offer pre-built models, libraries, and tools for designing custom models. Deep learning software is essential for industries that require advanced AI solutions, including healthcare, finance, automotive, and entertainment.
Cloud Workload Protection Platforms
Cloud workload protection platforms help organizations secure applications, workloads, and data running across public, private, and hybrid cloud environments. They continuously monitor workloads for vulnerabilities, misconfigurations, and malicious activities to prevent breaches and data loss. These platforms provide visibility across virtual machines, containers, and serverless functions, offering automated threat detection and compliance enforcement. By integrating with cloud infrastructure and DevOps pipelines, they enable consistent security policies throughout the application lifecycle. Ultimately, cloud workload protection platforms ensure scalable, real-time protection for modern cloud-native environments.
Machine Translation Software
Machine translation software is an artificial intelligence (AI) technology that enables computers to automatically translate text from one language to another. It utilizes AI techniques such as natural language processing and statistical algorithms to determine the most accurate translations possible. Machine translation software can provide quick translations of large blocks of text and has become increasingly sophisticated over time. It is used in a variety of contexts, from facilitating international business communications to helping people access information in languages they don't know.
Virtual Machine Software
Virtual machine software allows users to run multiple operating systems on a single physical computer by creating isolated, virtualized environments. Each virtual machine (VM) operates as a fully functional computer with its own CPU, memory, storage, and network resources, independent of the host system. This technology is widely used for software testing, development, running legacy applications, and server consolidation. Many VM solutions support snapshots, cloning, and resource management to optimize performance and recovery. By enabling flexibility, scalability, and cost savings, virtual machine software is a cornerstone of modern IT infrastructure and cloud computing.
Language Learning Software
Language learning software offers structured programs designed to teach users new languages through interactive lessons and exercises. These platforms typically include modules for grammar, vocabulary, pronunciation, and listening comprehension, helping learners build foundational language skills. Many language learning software options utilize multimedia tools, such as audio, video, and quizzes, to reinforce lessons and keep users engaged. Some software also offers tracking features to monitor progress and set personalized learning goals. With the flexibility to learn at one's own pace, these tools make it possible to study languages from beginner to advanced levels, often providing support for multiple languages.
Online Learning Platforms
Online learning platforms enable users to learn about a wide variety of topics. Online learning platforms, sometimes known as MOOCs (Massive Open Online Courses) or EdTech platforms, allow anyone to learn new topics and skills. Online learning platforms can be used by individuals, or by companies and organizations that want to educate and upskill their employees.
Learning Management Systems (LMS)
A Learning Management System, or LMS, is a software platform used to create, deliver and manage online training programs. They provide instructors with the ability to design course content, track learner progress, assess performance and generate reports. Learners also benefit from self-paced learning options that are available through most systems. Additionally, an LMS can be tailored to meet specific organizational needs such as providing specialized learning paths for different job roles.
Mobile Learning Software
Mobile learning software enables learners to access educational content and training materials on mobile devices, such as smartphones and tablets, enhancing flexibility and accessibility. These platforms typically offer features like interactive lessons, quizzes, progress tracking, and multimedia content that can be accessed anytime, anywhere. Mobile learning software is widely used for both formal education and corporate training, providing users with a more engaging, personalized learning experience. By using this software, businesses and educational institutions can deliver content to learners on-the-go, increase engagement, and improve knowledge retention.
Learning Experience Platforms
Learning Experience Platforms (LXPs) are advanced digital platforms designed to deliver personalized, engaging, and learner-centric education and training experiences. They aggregate content from various sources—such as courses, videos, articles, and social learning—and use AI to recommend relevant learning paths based on individual needs and preferences. LXPs support interactive features like social collaboration, gamification, and assessments to boost learner motivation and retention. By integrating with Learning Management Systems (LMS) and other HR tools, they provide seamless tracking and analytics of learning progress. Ultimately, LXPs empower organizations to foster continuous skill development and adapt learning to the evolving needs of employees and learners.
Machine Monitoring Software
Machine monitoring software tracks the real-time performance, efficiency, and health of industrial equipment across the production floor. It collects data such as uptime, downtime, cycle times, and error codes to help manufacturers understand how their machines are operating. With automated alerts and dashboards, it enables teams to quickly spot issues and prevent costly unplanned downtime. Many platforms also integrate with PLCs, sensors, and ERP systems to create a unified view of production. Overall, machine monitoring software helps improve productivity, optimize maintenance, and support data-driven manufacturing decisions.
Vending Machine Management Systems
Vending machine management systems, also known as vending management systems, are software platforms to help vending machine operators run their vending machine business. Vending management systems provide features such as inventory control, inventory management, order management, route optimization, performance analytics, and more.
Learning Analytics Software
Learning analytics software helps educational institutions and organizations collect, analyze, and interpret data related to learner behavior, engagement, and performance. It tracks activity across learning platforms to identify patterns that impact outcomes, retention, and skill development. The software provides dashboards and reports that enable educators and administrators to make data-driven decisions and personalize learning experiences. Many solutions integrate with learning management systems to deliver real-time insights and predictive analytics. By turning learning data into actionable insights, learning analytics software improves instructional effectiveness and learner success.
Social Learning Platforms
Social learning platforms are online tools that facilitate the exchange of knowledge and information between individuals. These platforms enable users to connect with others who share similar interests or goals, allowing them to engage in meaningful discussions and collaborative learning activities. They often offer a variety of features such as discussion forums, virtual classrooms, and interactive content to enhance the learning experience. Users can also track their progress and receive feedback from peers and instructors on these platforms. Overall, social learning platforms provide a convenient and accessible way for individuals to learn new skills and expand their knowledge through interaction with others.
Active Learning Software
Active learning tools in artificial intelligence are systems designed to enhance the efficiency of machine learning by strategically selecting the most valuable data points for training.
Virtual Machine (VM) Backup Software
Virtual machine (VM) backup software provides users with a way to securely and reliably protect their virtual environment.
AI Language Learning Software
AI language learning apps use artificial intelligence to help users learn new languages more efficiently by personalizing the learning experience. These apps often offer interactive lessons, voice recognition, and real-time feedback to improve pronunciation, grammar, and vocabulary. The AI algorithms adapt to the user's learning pace, strengths, and weaknesses, providing tailored exercises and challenges.
eLearning Content Providers
eLearning content providers create and deliver educational materials and courses in digital formats, making learning accessible online. They offer a wide range of content, from professional training and certifications to academic subjects and personal development. These providers often use multimedia elements—such as videos, quizzes, and interactive exercises—to enhance engagement and understanding. With scalable platforms, eLearning content providers cater to diverse audiences, including corporations, educational institutions, and individual learners. Their goal is to make quality education flexible and accessible, supporting learning anywhere, anytime.
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1697 Products for "machine learning workloads" with 1 filter applied:

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  • 1
    Google Cloud Platform
    Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. ...
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    60,449 Ratings
    Starting Price: Free ($300 in free credits)
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  • 2
    Ray

    Ray

    Anyscale

    ...Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. ...
    Starting Price: Free
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  • 3
    Trellix Cloud Workload Security
    ...Gain awareness and protect your virtualized environment and network from external malicious sources. Comprehensive countermeasures, including machine learning, application containment, virtual machine-optimized anti-malware, whitelisting, file integrity monitoring, and micro-segmentation, to protect your workloads. Helps assign and manage all workloads automatically with the ability to import AWS and Microsoft Azure tag information into Trellix ePO.
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  • 4
    AWS EC2 Trn3 Instances
    Amazon EC2 Trn3 UltraServers are AWS’s newest accelerated computing instances, powered by the in-house Trainium3 AI chips and engineered specifically for high-performance deep-learning training and inference workloads. These UltraServers are offered in two configurations, a “Gen1” with 64 Trainium3 chips and a “Gen2” with up to 144 Trainium3 chips per UltraServer. The Gen2 configuration delivers up to 362 petaFLOPS of dense MXFP8 compute, 20 TB of HBM memory, and a staggering 706 TB/s of aggregate memory bandwidth, making it one of the highest-throughput AI compute platforms available. ...
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  • 5
    Google Cloud Speech-to-Text
    Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need...
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    373 Ratings
    Starting Price: Free ($300 in free credits)
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  • 6
    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deployment platform also enables GPU-based LLM deployment along with agent deployment with best practices for scalability and efficiency. It supports on-premise and VPC installations while maintaining full compliance with SOC 2, HIPAA, and ITAR standards.
    Starting Price: $5 per month
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  • 7
    AI Squared

    AI Squared

    AI Squared

    Empower data scientists and application developers to collaborate on ML projects. Build, load, optimize and test models and integrations before publishing to end-users for integration into live applications. Reduce data science workload and improve decision-making by storing and sharing ML models across the organization. Publish updates to automatically push changes to models in production. Drive efficiency by instantly providing ML-powered insights within any web-based business application....
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  • 8
    Azure Spot Virtual Machines
    Use Spot Virtual Machines to buy unused compute capacity at significant cost savings. Deploy workloads that can handle interruptions and don't need to be completed within a specific period. Run workloads for development, testing, quality assurance, advanced analytics, big data, machine learning and AI, batch jobs, rendering and transcoding of videos, graphics, and images at a very low cost.
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  • 9
    Amazon EC2 G4 Instances
    Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. ...
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  • 10
    Opsani

    Opsani

    Opsani

    We are the only solution on the market that autonomously tunes applications at scale, either for a single application or across the entire service delivery platform. Opsani rightsizes your application autonomously so your cloud application works harder and leaner so you don’t have to. Opsani COaaS maximizes cloud workload performance and efficiency using the latest in AI and Machine Learning to continuously reconfigure and tune with every code release, load profile change, and infrastructure upgrade. We accomplish this while integrating easily with either a single app or across your service delivery platform while also scaling autonomously across 1000’s of services. ...
    Starting Price: $500 per month
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  • 11
    Teradata VantageCloud
    ...It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
    992 Ratings
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  • 12
    Oracle Machine Learning
    Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. ...
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  • 13
    Skyportal

    Skyportal

    Skyportal

    Skyportal is a GPU cloud platform built for AI engineers, offering 50% less cloud costs and 100% GPU performance. It provides a cost-effective GPU infrastructure for machine learning workloads, eliminating unpredictable cloud bills and hidden fees. Skyportal has seamlessly integrated Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, fully optimized for Ubuntu 22.04 LTS and 24.04 LTS, allowing users to focus on innovating and scaling with ease. It offers high-performance NVIDIA H100 and H200 GPUs optimized specifically for ML/AI workloads, with instant scalability and 24/7 expert support from a team that understands ML workflows and optimization. ...
    Starting Price: $2.40 per hour
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  • 14
    Zeus Cloud

    Zeus Cloud

    Zeus Cloud

    ...Zeus Cloud ZC2 offers the broadest and deepest compute platform with a choice of processor, storage, networking, operating system, and purchase model. We offer the fastest processors in the cloud and we are the only cloud with 400 Gbps ethernet networking. We have the most powerful GPU instances for machine learning training and graphics workloads, as well as the lowest cost-per-inference instances in the cloud. More SAP, HPC, Machine Learning, and Windows workloads running on ZC2 than any other cloud. Click here to learn What's New with Zeus Cloud ZC2.
    1 Rating
    Starting Price: $0
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  • 15
    Azure Confidential Computing
    ...This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.
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  • 16
    Google Cloud Confidential VMs
    ...It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
    Starting Price: $0.005479 per hour
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  • 17
    MLReef

    MLReef

    MLReef

    MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can...
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  • 18
    StormForge

    StormForge

    StormForge

    StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. ...
    Starting Price: Free
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  • 19
    IBM Operations Analytics
    IBM® Z® Operations Analytics is a tool that enables you to search, visualize and analyze large amounts of structured and unstructured operational data across IBM Z environments, including log, event and service request data and performance metrics. Leverage your analytics platform and machine learning to gain enterprise visibility, identify issues in your workloads, locate hidden problems and perform root cause analysis faster. Use machine learning to baseline normal system behavior and detect operational anomalies. Detect emerging issues across services, so you can proactively alert and cognitively adjust to changes. ...
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  • 20
    SysAid

    SysAid

    SysAid Technologies

    SysAid is an AI-first Help Desk & ITSM platform powered by Agentic AI. It makes your IT team 100x more impactful, resolves issues faster, eliminates repetitive tasks, and shifts from firefighting to delivering strategic impact. With no-code workflows, AI-powered ticket handling, and an intuitive self-service portal, SysAid empowers IT to focus on what really matters: business value. At its core is Agentic AI: a powerful operational layer where AI Agents take the first action, accelerating...
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    106 Ratings
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  • 21
    Symantec Storage Protection
    ...Over time, storage can become contaminated with malware, ransomware, and other threats - either from attackers, unwitting users, or other resources. From S3 buckets, threats can propagate to additional apps, users, or databases. Cloud Workload Protection for Storage automatically scan S3 buckets using Symantec’s suite of anti-malware technologies to keep your cloud storage and services clean. Enables secure adoption of containers and serverless technologies such as AWS Lambda. Discovers and blocks the latest threats using Symantec's suite of anti-malware technologies including reputation analysis and advanced machine learning. ...
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  • 22
    Massed Compute

    Massed Compute

    Massed Compute

    Massed Compute offers high-performance GPU computing solutions tailored for AI, machine learning, scientific simulations, and data analytics. As an NVIDIA Preferred Partner, it provides access to a comprehensive catalog of enterprise-grade NVIDIA GPUs, including A100, H100, L40, and A6000, ensuring optimal performance for various workloads. Users can choose between bare metal servers for maximum control and performance or on-demand compute instances for flexibility and scalability. ...
    Starting Price: $21.60 per hour
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  • 23
    AllSecureX

    AllSecureX

    AllSecureX

    ...The platform leverages AllSecureXGPT for real-time answers to complex security questions and uses predictive modeling through its Pentagon Framework to aid strategic decision-making. Automated protection features reduce manual workload while strengthening defenses using AI, machine learning, and robotic process automation. AllSecureX covers a comprehensive range of security domains, including quantum-safe security, cloud, network, email, and third-party risk monitoring. It helps organizations transform cyber threats into business intelligence and bottom-line protection.
    Starting Price: $30/month per digital asset
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  • 24
    UbiOps

    UbiOps

    UbiOps

    UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a...
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  • 25
    Amazon Elastic File System (EFS)
    ...Persist and share data from your AWS containers and serverless applications with zero management required. Easier to use and scale, Amazon EFS offers the performance and consistency needed for machine learning and big data analytics workloads. Simplify persistent storage for modern content management system workloads. Get your products and services to market faster, more reliably, and securely at a lower cost. Create and configure shared file systems simply and quickly for AWS compute services, with no provisioning, deploying, patching, or maintenance required. ...
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  • 26
    NVIDIA Base Command Manager
    ...High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
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  • 27
    Core Scientific

    Core Scientific

    Core Scientific

    Core Scientific delivers purpose-built high-density colocation infrastructure and intelligent software solutions designed for demanding compute workloads such as AI, machine learning, high-performance computing, and digital asset mining. It features ready-to-scale high-density compute environments with contracted power capacity of over 1.3 GW, faster deployment timelines, and optimized cooling and power systems tailored for intensive workloads. Core Scientific’s digital mining offering incorporates proprietary software for fleet management capable of handling up to one million miners, real-time thermal monitoring, and hash-price economics analysis to optimize profitability. ...
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  • 28
    Azure Stream Analytics
    Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.
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  • 29
    Synap

    Synap

    Synap

    ...Easily identify the strengths and weaknesses of each candidate, along with determining which questions need improvement over time. Synap helps you assess, analyse, and improve learning outcomes effectively, all from one easy-to-use platform. Get started with your 14-day free trial today, with the ability to cancel any time without any long-term commitments.
    32 Ratings
    Starting Price: £40/month
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  • 30
    Machine Labs

    Machine Labs

    Machine Labs Email Marketing

    Easy database marketing built to boost your sales. Contact the right customers, at the right time, with the right offer, at the right price. We’re here to make marketing easy and affordable by offering big machine learning at a small company price. With our powerful features and multi-channel monitoring, you can understand your customers and create meaningful relationships, find out what makes them tick and get them buying again, all under one roof. A 1-click integration with Shopify imports all your historic data: customer, order and product information, so you’ll be up and running in minutes. ...
    Starting Price: $35 per month
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