Results for: parallel computing

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Parallel Dialers
Parallel dialers are AI-powered tools designed to enhance outbound calling efficiency by dialing multiple numbers simultaneously and connecting live calls to available agents. Leveraging artificial intelligence, they analyze call patterns and optimize dialing speeds to maximize productivity while minimizing call drops or agent idle time. These systems integrate seamlessly with CRMs, using AI to prioritize high-value leads and provide real-time insights for better decision-making. Advanced features like voice recognition, automated workflows, and compliance monitoring ensure smoother operations and adherence to regulations. With AI at their core, parallel dialers empower businesses to improve customer outreach and drive results more effectively.
Computer Security Software
Computer security software helps protect devices, networks, and sensitive data from unauthorized access, cyberattacks, and other security threats. These tools provide a range of protective features such as antivirus, firewall, encryption, malware detection, and intrusion prevention systems. Computer security software is essential for safeguarding against viruses, ransomware, spyware, and phishing attacks, ensuring the integrity, confidentiality, and availability of data. Many security solutions also offer real-time monitoring, automated updates, and threat intelligence to detect and mitigate new vulnerabilities as they emerge. Businesses and individuals rely on computer security software to reduce risks, comply with regulations, and maintain a secure computing environment.
Cloud Computing Software
Cloud computing platforms provide businesses with on-demand access to computing resources, including storage, processing power, databases, networking, and software, over the internet. These platforms eliminate the need for organizations to maintain physical infrastructure, offering scalability, flexibility, and cost-efficiency. Cloud computing platforms are typically available in three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
Edge Computing Software
Edge computing platforms, also known as distributed edge platforms. are software platforms that enable organizations to use distributed computing technology to process data at the "edge" of a network.
Computer Assisted Translation Software
Computer-Assisted Translation (CAT) software is designed to help translators improve their efficiency and accuracy by leveraging technology to assist with the translation process. CAT tools include features such as translation memory (TM), terminology management, and machine translation (MT) integration, which help translators by reusing previously translated content and ensuring consistent terminology across projects. CAT software also provides a collaborative environment where multiple translators can work on the same project simultaneously. These tools are commonly used in localization, legal, technical, and marketing translations to improve workflow and reduce the time required to complete translation projects.
Computer Aided Dispatch Software
Computer-aided dispatch (CAD) software helps emergency response teams manage and coordinate the dispatch of resources, such as police, fire, and medical services, during incidents. It provides a centralized platform for call-taking, tracking units in real time, and assigning the closest and most appropriate responders to emergencies. The software often includes features like automated mapping, communication tools, and status updates to ensure efficient coordination and rapid response. By streamlining communication and resource allocation, CAD software helps reduce response times, improve situational awareness, and enhance overall emergency management. Ultimately, it ensures that emergency services can respond quickly and effectively, improving safety and outcomes for communities.
Quantum Computing Software
Quantum computing software is designed to simulate quantum systems. It enables developers to explore the potential of quantum computing and can be used for a variety of applications such as cryptography, search optimization, materials simulation, machine learning and artificial intelligence. Quantum computers are powered by algorithms that use qubits instead of classical bits which allow them to calculate with a much higher speed than regular computers. The open-source nature of many quantum computing software packages allows anyone who has an interest in this technology to create projects and new algorithms.
Confidential Computing Software
Confidential computing solutions protect data while it is being processed by isolating workloads inside secure, hardware-based environments called Trusted Execution Environments (TEEs). This ensures that sensitive information remains protected even from cloud providers, system administrators, and potential attackers with elevated access. These solutions help organizations run encrypted data analytics, AI models, and multi-party computations without exposing underlying data. Many platforms support secure enclaves, attestation services, and cryptographic protections to verify integrity and prevent tampering. Overall, confidential computing solutions enable stronger privacy, regulatory compliance, and secure collaboration across untrusted or distributed environments.
Computer-Aided Engineering (CAE) Software
Computer-Aided Engineering (CAE) software is used by engineers to analyze and simulate the performance, behavior, and characteristics of designs in a virtual environment. CAE software enables engineers to perform various types of analysis, including structural, thermal, fluid dynamics, and electromagnetics, helping to ensure that products are optimized for functionality, safety, and cost-effectiveness before physical prototypes are created. It includes tools for finite element analysis (FEA), computational fluid dynamics (CFD), multibody dynamics (MBD), and optimization studies. CAE software is widely used in industries such as automotive, aerospace, energy, and manufacturing to improve product designs, reduce material usage, and shorten development cycles.
Computer-Aided Manufacturing (CAM) Software
Computer-aided manufacturing (CAM) software enables engineers and manufacturers to manufacture products based on CAD models. Computer-aided manufacturing software streamlines the process of machining and manufacturing products and directs equipment to the proper milling, cutting, and roughing procedures.
Computer Telephony Integration (CTI) Software
Computer Telephony Integration (CTI) software enables the interaction between telephone systems and computers, allowing businesses to manage phone calls through computer applications. CTI software integrates voice communication with customer relationship management (CRM) systems, allowing for features such as call routing, automatic call distribution (ACD), screen popping (displaying customer information when a call is received), and call logging. It also supports voice mail, call recording, and real-time monitoring, improving customer service and operational efficiency.
End-User Computing (EUC) Software
End-user computing (EUC) software is designed to help organizations manage, secure, and optimize the use of technology by employees. EUC solutions provide a range of tools and capabilities, including virtualization, desktop and application management, and device management. By enabling employees to access the applications and data they need from any device, EUC software helps organizations improve productivity and collaboration.
AI Computer Use Agents (CUA)
AI Computer Use Agents (CUAs) are advanced AI systems that enable machines to interact with computer environments in a human-like manner. Unlike traditional AI models that rely on APIs, CUAs can navigate graphical user interfaces (GUIs), perform tasks such as clicking buttons, typing text, and scrolling, effectively operating software applications as a human would. This capability allows CUAs to automate complex workflows across various platforms without the need for specialized integrations. AI can utilize CUAs to handle tasks like web browsing, form filling, and data entry. These agents are particularly valuable in scenarios where automation of repetitive tasks can lead to significant efficiency gains. While still in development, CUAs represent a significant advancement in AI's ability to assist with everyday computer tasks.
Mechanical Computer-Aided Design (MCAD) Software
Mechanical computer-aided design (MCAD) software is specialized software used by engineers and designers to create, modify, and analyze mechanical systems and components. It enables the creation of precise 2D and 3D models, which can be used to simulate real-world conditions and test the performance of designs. MCAD software often includes features for drafting, documentation, and collaboration, facilitating the sharing of design data among team members. It supports the design process from concept to manufacturing, helping to streamline workflows and reduce errors.
Digital Forensics Software
Digital forensics software is a type of tool used by cybersecurity professionals and law enforcement to investigate and analyze digital devices, networks, and data following a security breach or criminal activity. These tools help recover, preserve, and examine evidence from electronic devices such as computers, smartphones, servers, and storage devices. Digital forensics software typically includes features like data recovery, file carving, network traffic analysis, timeline creation, and forensic image creation to ensure that evidence remains unaltered. It also helps in tracking digital footprints, identifying malicious activity, and gathering critical information for legal purposes. By providing detailed insights into digital activities, these tools are essential for investigating cybercrimes, data breaches, and compliance violations.
Header Bidding Software
Header bidding solutions are software platforms built for programmatic advertising that allows publishers to let multiple advertising exchanges bid on their display inventory.
Operating Systems
Operating systems are foundational software that manage computer hardware, software resources, and provide services for applications and users. They handle critical functions such as process scheduling, memory management, device control, file systems, and security. Operating systems provide a user interface—either graphical (GUI) or command-line—that allows individuals to interact with the machine. They also offer APIs and system calls that enable developers to build and run applications consistently across devices. From personal computers to servers, mobile devices, and embedded systems, operating systems are essential for ensuring stability, efficiency, and usability in modern computing environments.
CAD Software
Computer-Aided Design (CAD) software is software used by engineers, architects, and designers to create precise 2D and 3D models. It enables users to design, visualize, and simulate their projects with high accuracy, facilitating efficient prototyping and problem-solving. CAD software supports a variety of industries, including manufacturing, construction, and product design, by offering features like parametric modeling, rendering, and automated drafting. Its intuitive interfaces and integration with other engineering tools make it a cornerstone of modern design workflows. By streamlining the design process, CAD software helps reduce development time, improve collaboration, and bring innovative ideas to life.
Programming Languages
Programming languages are a set of rules that form a language that programmers and developers can use to write software, applications, web apps, mobile apps, scripts, and more.
View more categories (20) for "parallel computing"

86 Products for "parallel computing" with 1 filter applied:

  • 1
    AWS Parallel Computing Service
    AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies running and scaling high-performance computing workloads and building scientific and engineering models on AWS using Slurm. It enables the creation of complete, elastic environments that integrate computing, storage, networking, and visualization tools, allowing users to focus on research and innovation without the burden of infrastructure management.
    Starting Price: $0.5977 per hour
  • 2
    IONOS Cloud GPU Servers
    IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications.
    Starting Price: $3,990 per month
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  • 3
    Ansys HPC
    With the Ansys HPC software suite, you can use today’s multicore computers to perform more simulations in less time. These simulations can be bigger, more complex and more accurate than ever using high-performance computing (HPC). The various Ansys HPC licensing options let you scale to whatever computational level of simulation you require, from single-user or small user group options for entry-level parallel processing up to virtually unlimited parallel capacity. ...
  • 4
    Tencent Cloud GPU Service
    Cloud GPU Service is an elastic computing service that provides GPU computing power with high-performance parallel computing capabilities. As a powerful tool at the IaaS layer, it delivers high computing power for deep learning training, scientific computing, graphics and image processing, video encoding and decoding, and other highly intensive workloads. Improve your business efficiency and competitiveness with high-performance parallel computing capabilities. ...
    Starting Price: $0.204/hour
  • 5
    OpenCL

    OpenCL

    The Khronos Group

    OpenCL (Open Computing Language) is an open, royalty-free standard for cross-platform parallel programming of heterogeneous computing systems that lets developers accelerate computing tasks by leveraging diverse processors such as CPUs, GPUs, DSPs, and FPGAs across supercomputers, cloud servers, personal computers, mobile devices, and embedded platforms.
  • 6
    QA Wolf

    QA Wolf

    QA Wolf

    ...In one platform, teams can manage the entire testing lifecycle: Map out your workflows and coverage gaps, automate your tests in Playwright or Appium, and run your suite fully in parallel. - Build and maintain E2E tests 10x faster than agentic CLIs. - Run tests 12x faster than non-deterministic computer-use agents. - Release 5x more often with faster testing. Want all your testing done for you? QA Wolf’s Coverage as a Service delivers 80%+ test coverage in 4 months with 24-hour failure investigation, test maintenance, and guaranteed zero flakes.
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  • 7
    AWS ParallelCluster
    AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. ...
  • 8
    Construct Computer

    Construct Computer

    Construct Computer

    ...Users can inspect or correct memory and review or interrupt agent work. Construct Computer connects with Slack, Telegram, Discord, and services in its Composio integration catalog; workspaces can also use custom MCP servers and private apps. Agents can delegate bounded subtasks and run scheduled jobs in the cloud. Plans set limits for agents, task steps, scheduled work, parallel jobs, command runtime, and storage. A mobile web interface is available in a phone browser; the vendor says it is not an App Store app.
    Starting Price: $9/month
  • 9
    XRCLOUD

    XRCLOUD

    XRCLOUD

    GPU cloud computing is a GPU-based computing service with real-time, high-speed parallel computing and floating-point computing capacity. It is ideal for various scenarios such as 3D graphics applications, video decoding, deep learning, and scientific computing. GPU instances can be managed just like a standard ECS with speed and ease, which effectively relieves computing pressures.
    Starting Price: $4.13 per month
  • 10
    Bodo.ai

    Bodo.ai

    Bodo.ai

    Bodo’s powerful compute engine and parallel computing approach provides efficient execution and effective scalability even for 10,000+ cores and PBs of data. Bodo enables faster development and easier maintenance for data science, data engineering and ML workloads with standard Python APIs like Pandas. Avoid frequent failures with bare-metal native code execution and catch errors before they appear in production with end-to-end compilation.
  • 11
    Torch

    Torch

    Torch

    ...Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner.
  • 12
    Dask

    Dask

    Dask

    ...Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.
  • 13
    ByteNite

    ByteNite

    ByteNite

    A SaaS platform for high-throughput computing, supporting fast and cost-effective video encoding. ByteNite implements a distributed computing system based on mobile and desktop devices as worker nodes, keeping the parallelization of video computing workflows and realizing a high-throughput computing environment. ByteNite's philosophy is captured in availability, agility, speed, security, and sustainability values.
  • 14
    Lustre

    Lustre

    OpenSFS and EOFS

    The Lustre file system is an open-source, parallel file system that supports many requirements of leadership class HPC simulation environments. Whether you’re a member of our diverse development community or considering the Lustre file system as a parallel file system solution, these pages offer a wealth of resources and support to meet your needs. The Lustre file system provides a POSIX-compliant file system interface, which can scale to thousands of clients, petabytes of storage, and hundreds of gigabytes per second of I/O bandwidth. ...
    Starting Price: Free
  • 15
    TigerGraph

    TigerGraph

    TigerGraph

    Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.
  • 16
    TotalView

    TotalView

    Perforce

    ...Simultaneously debug thousands of threads and processes. Purpose-built for multicore and parallel computing, TotalView delivers a set of tools providing unprecedented control over processes and thread execution, along with deep visibility into program states and data.
  • 17
    DeepSpeed

    DeepSpeed

    Microsoft

    DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU. ...
    Starting Price: Free
  • 18
    HPE Pointnext

    HPE Pointnext

    Hewlett Packard

    ...Hyperion Research forecasts that, at current course and speed, HPC storage spending in public sector organizations and enterprises will grow 57% faster than spending for HPC compute for the next three years. Seymour Cray once said, "Anyone can build a fast CPU. The trick is to build a fast system.” When it comes to HPC and AI, anyone can build fast file storage. The trick is to build a fast, but also cost-effective and scalable file storage system. We achieve this by embedding the leading parallel file systems into parallel storage products from HPE with cost effectiveness built in.
  • 19
    Elastic GPU Service
    ...It applies to scenarios (such as deep learning, video encoding and decoding, video processing, scientific computing, graphical visualization, and cloud gaming). Elastic GPU Service provides GPU-accelerated computing capabilities and ready-to-use, scalable GPU computing resources. GPUs have unique advantages in performing mathematical and geometric computing, especially floating-point and parallel computing. GPUs provide 100 times the computing power of their CPU counterparts.
    Starting Price: $69.51 per month
  • 20
    IBM Spectrum Symphony
    Deliver enterprise-class management for running compute and data-intensive distributed applications on a scalable, shared grid. IBM Spectrum Symphony® software delivers powerful enterprise-class management for running compute-intensive and data-intensive distributed applications on a scalable, shared grid. It accelerates dozens of parallel applications for faster results and better utilization of all available resources.
  • 21
    Coreshub

    Coreshub

    Coreshub

    Coreshub provides GPU cloud services, AI training clusters, parallel file storage, and image repositories, delivering secure, reliable, and high-performance cloud-based AI training and inference environments. The platform offers a range of solutions, including computing power market, model inference, and various industry-specific applications. Coreshub's core team comprises experts from Tsinghua University, leading AI companies, IBM, renowned venture capital firms, and major internet corporations, bringing extensive AI technical expertise and ecosystem resources. ...
    Starting Price: $0.24 per hour
  • 22
    Fortran

    Fortran

    Fortran

    Fortran has been designed from the ground up for computationally intensive applications in science and engineering. Mature and battle-tested compilers and libraries allow you to write code that runs close to the metal, fast. Fortran is statically and strongly typed, which allows the compiler to catch many programming errors early on for you. This also allows the compiler to generate efficient binary code. Fortran is a relatively small language that is surprisingly easy to learn and use....
    Starting Price: Free
  • 23
    AWS HPC

    AWS HPC

    Amazon

    ...Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems.
  • 24
    Dive

    Dive

    Dive

    ...The mesh-free approach allows for modeling of complex geometry, surface tension, non-Newtonian fluids, and transient flows without the time-consuming meshing and tuning required by conventional CFD. Onboarding is fast (typically under one day), and the software supports parallel design-of-experiment workflows that deliver multiple iterations in hours rather than days. Dive CAE emphasizes collaboration, license simplicity (one licence for all users), transparent cost control, data usage governance, and scalability via cloud infrastructure.
  • 25
    Huawei Elastic Cloud Server (ECS)
    ...Use disk-intensive ECSs, which are designed for applications requiring sequential read/write on ultra-large datasets in local storage (such as distributed Hadoop computing) as well as large-scale parallel data processing and log processing. Disk-intensive ECSs are HDD-compatible, feature a default network bandwidth of 10GE, and deliver high PPS and low network latency.
    Starting Price: $6.13 per month
  • 26
    Node AI

    Node AI

    Node AI

    ...Get more value from your GPU investment. Our platform is where complexity meets simplicity, providing a seamless interface for clients to tap into a global network of AI nodes. Clients submit their computational tasks to Node AI, where they are instantly distributed across our secure network of high-performance AI nodes. The tasks are processed in parallel, harnessing the power of the L1 Blockchain for secure, efficient, and verifiable computation. Verified results are encrypted and returned to the clients promptly, ensuring confidentiality and integrity.
  • 27
    Apache Giraph

    Apache Giraph

    Apache Software Foundation

    ...Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. ...
  • 28
    Nyriad

    Nyriad

    Nyriad

    ...Combining the power of GPUs and CPUs to achieve unprecedented capacity, reliability and security, Nyriad is disrupting conventional thinking of current storage architectures. Developer of a compression technology platform designed to provide advanced data storage services for big data and high-performance computing. The company's platform is a GPU-accelerated block storage device that utilizes massively parallel processing to provide extremely resilient data storage, enabling clients to meet the scale, security, efficiency and performance needs of any type of computing project. Nyriad's concept of 'liquid data', which flows through storage, networking and processing bottlenecks to achieve speed, efficiency and performance, needed cloud support. ...
  • 29
    Muse Spark 1.1
    Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. ...
    Starting Price: $1.25 per 1M tokens (input)
  • 30
    MegaETH

    MegaETH

    MegaETH

    ...It implements a write-optimized storage backend to replace traditional high-amplification databases, ensuring fast, predictable read and write latencies. It uses just-in-time bytecode compilation to eliminate interpretation overhead and bring near native code speed to compute-intensive smart contracts. MegaETH also supports a two-pronged parallel execution model; block producers use a flexible concurrency protocol, while full nodes employ stateless validation to maximize parallel speedups. For network synchronization, MegaETH features a custom peer-to-peer protocol with compression techniques that allow even nodes with limited bandwidth to stay in sync at high throughput.
    Starting Price: Free
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