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).
View more categories (20) for "parallel computing"
35 Products for "parallel computing" with 2 filters applied:
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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
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IONOS Cloud GPU Servers
IONOS
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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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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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. -
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Direct3D
Microsoft
Direct3D is a low-level API for drawing primitives with the rendering pipeline, or for performing parallel operations with the compute shader. See the content below for more information. Direct3D 12 provides an API and platform that allows your application to take advantage of the graphics and computing capabilities of PCs equipped with one or more Direct3D 12-compatible GPUs. You can use Microsoft Direct3D 11 graphics to create 3-D graphics for games and scientific and desktop applications. ... -
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JAX
JAX
JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. ... -
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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 -
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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. -
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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. ... -
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Muse Spark 1.1
Meta
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) -
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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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SYCL
The Khronos Group
SYCL is an open, royalty-free, cross-platform programming standard defined by the Khronos Group that enables heterogeneous and offload computing in modern ISO C++ by providing a single-source abstraction layer where host and device code coexist in the same C++ source and can target a wide range of devices such as CPUs, GPUs, FPGAs, and other accelerators. It is a C++ API and abstraction designed to make heterogeneous computing more productive and portable by using standard language features... -
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Nextflow
Seqera Labs
Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science.Starting Price: Free -
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IRIS
Global Market Solutions
IRIS workflow handles the global challenge of active counterparty credit risk management, from trading data acquisition to trade re-booking including curve stripping, consistent pricing, exhaustive aggregation module, hedge requirement computation and What-if scenarios. IRIS is a parallel distributed application permitting efficient utilization of multi-core systems. An HPC solution based on GPU and Multicore processors is also available to accelerate pricing and Greeks computation. The ability to plug IRIS engines into existing complex systems is a major design goal. ... -
15
Nx
Nx
...Next generation build system with first-class mono repo support and powerful integrations. Nx makes scaling easy. Modern techniques such as distributed task execution and computation caching make sure your CI times remain fast, even as you keep adding projects to your workspace. It can figure out whether the same computation has run before and can restore the files and the terminal output from its cache. Smart, automated, dynamic distribution of tasks across multiple machines to get maximum parallelization and CPU-efficient CI runs. ... -
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Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. ...Starting Price: $30 per month -
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Shapelets
Shapelets
Powerful computing at your fingertips. Parallel computing, groundbreaking algorithms, so what are you waiting for? Designed to empower data scientists in business. Get the fastest computing in an all-inclusive time-series platform. Shapelets provides you with analytical features such as causality, discords and motif discovery, forecasting, clustering, etc. -
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HPC-AI
HPC-AI
...At its core, the company’s software focuses on parallel and distributed training, inference, and fine-tuning of large neural networks, helping organizations reduce infrastructure costs while maintaining performance. It is powered in part by technologies such as Colossal-AI, which significantly accelerates model training and improves productivity.Starting Price: $3.05 per hour -
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Graph Engine
Microsoft
Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. ... -
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oneAPI
Intel
Intel oneAPI is an open, unified programming model designed to simplify development across CPUs, GPUs, and other accelerators. It provides developers with a highly productive software stack for AI, HPC, and accelerated computing workloads. oneAPI supports scalable hybrid parallelism, enabling performance portability across different hardware architectures. The platform includes optimized libraries, SYCL-based C++ extensions, and powerful developer tools for profiling, debugging, and optimization. Developers can build, optimize, and deploy applications with confidence across data centers, edge systems, and PCs. oneAPI is built on open standards to avoid vendor lock-in while maximizing performance. ... -
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Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. 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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R2 SQL
Cloudflare
R2 SQL is Cloudflare’s serverless, distributed analytics query engine (currently in open beta) that enables you to run SQL queries over Apache Iceberg tables stored in R2 Data Catalog without needing to manage your own compute clusters. It is built to efficiently query large volumes of data by leveraging metadata pruning, partition-level statistics, file and row-group filtering, and Cloudflare’s globally distributed compute infrastructure to parallelize execution. The system works by integrating with R2 object storage and an Iceberg catalog layer, so you can ingest data via Cloudflare Pipelines into Iceberg tables, and then query that data with minimal overhead. ...Starting Price: Free -
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Meta Model API
Meta
...As a main agent, it can gather context, make a plan, and delegate execution across parallel subagents; as a subagent, it follows its role, understands available tools, and knows when to escalate back. The model can actively manage a 1 million-token context window, remember actions, retrieve information from much earlier work, and compact context.Starting Price: $1.25 per 1M tokens -
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WebODM
WebODM
...Georeferenced, orthorectified maps. Georeferenced, filtered and classified dense point clouds. Make volume and area measurements with ease, track stockpiles. Easily compute NDVI, VARI, GNDVI and many other indexes. Process aerial and ground images, captured nadir or oblique. Choose a logo and color scheme that matches your organization. Run multiple jobs in parallel and single jobs distributed on multiple machines. -
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CallTools
CallTools
Revolutionize your contact center with CallTools—the cutting-edge cloud-based software that integrates your inbound and outbound dialing on a single platform. Boost your agents’ productivity and enhance customer engagement like never before with CallTools’ powerful suite of call center features, including predictive dialing, call recording, and multi-touch campaigns with email and SMS capabilities. Get a complete 360-degree view of your agents’ performance and take advantage of real-time... -
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Argo
Argo
...Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. ... -
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xCAT
xCAT
xCAT (Extreme Cloud Administration Toolkit) is an open source tool designed to automate the deployment, scaling, and management of bare metal servers and virtual machines. It offers comprehensive management capabilities for high-performance computing clusters, render farms, grids, web farms, online gaming infrastructures, clouds, and data centers. xCAT provides an extensible framework based on years of system administration best practices, enabling administrators to discover hardware servers, execute remote system management, provision operating systems on physical or virtual machines in both disk and diskless modes, install and configure user applications, and perform parallel system management. ...Starting Price: Free -
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vLLM
vLLM
...Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more. -
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Nerova
Nerova
...It enables organizations to build fully customized agents by defining roles, protocols, personality, and knowledge access, allowing each agent to operate like a specialized worker tailored to specific business functions. These agents are capable of direct computer use, interacting with browsers, desktops, and software interfaces while performing multi-step reasoning, decision-making, and task execution in sequence. Nerova supports continuous parallel execution, meaning multiple agent instances can run simultaneously to handle large volumes of tasks efficiently, all while operating 24/7. The platform includes cross-app coordination, allowing agents to move between systems, retrieve data, and complete workflows end-to-end without manual handoffs. -
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Microsoft Cognitive Toolkit
Microsoft
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. ...
