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"
37 Products for "parallel computing" with 2 filters applied:
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1
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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Tencent Cloud GPU Service
Tencent
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 -
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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. -
4
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. -
5
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 -
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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 -
7
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. -
8
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 -
9
Elastic GPU Service
Alibaba
...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 -
10
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. ... -
11
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 -
12
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) -
13
Tenstorrent DevCloud
Tenstorrent
...They can also execute other types of parallel computation. Tenstorrent processors comprise a grid of cores known as Tensix cores. -
14
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 -
15
Bytebot
Bytebot
Bytebot is a desktop agent platform that automates real work by using computers the same way a human does. It spins up a fresh, sandboxed desktop in the cloud and completes tasks by clicking, typing, and navigating apps through the user interface. Bytebot works across any software because it interacts directly with the screen, keyboard, and mouse. Users can scale from a single agent to hundreds running in parallel.Starting Price: Free -
16
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 -
17
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. ... -
18
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 -
19
Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. ... -
20
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 -
21
Pachyderm
Pachyderm
...File-based versioning provides a complete audit trail for all data and artifacts across pipeline stages, including intermediate results. Stored as native objects (not metadata pointers) so that versioning is automated and guaranteed. Autoscale with parallel processing of data without writing additional code. Incremental processing saves compute by only processing differences and automatically skipping duplicate data. Pachyderm’s Global IDs make it easy for teams to track any result all the way back to its raw input, including all analysis, parameters, code, and intermediate results. ... -
22
Amazon EC2 Trn2 Instances
Amazon
...They offer up to 50% cost-to-train savings over comparable Amazon EC2 instances. Trn2 instances support up to 16 Trainium2 accelerators, providing up to 3 petaflops of FP16/BF16 compute power and 512 GB of high-bandwidth memory. To facilitate efficient data and model parallelism, Trn2 instances feature NeuronLink, a high-speed, nonblocking interconnect, and support up to 1600 Gbps of second-generation Elastic Fabric Adapter (EFAv2) network bandwidth. They are deployed in EC2 UltraClusters, enabling scaling up to 30,000 Trainium2 chips interconnected with a nonblocking petabit-scale network, delivering 6 exaflops of compute performance. ... -
23
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. -
24
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. -
25
AgentOne
AgentOne
Free alternative to Claude Cowork - AgentOne is an AI agent that helps you get work done, not just talk about it. Give it a goal in plain English, and it can break the task into steps, use the right tools, gather information from connected apps, and work toward a finished result. AgentOne lets non-technical and technical users alike easily automate boring work. With support for over 12,700 apps, services, and websites, AgentOne fits into the tools you already use. It can run multiple...Starting Price: $8.99/month -
26
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. ... -
27
NVIDIA RAPIDS
NVIDIA
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. ... -
28
Black.ai
Black.ai
Respond to events and make better decisions with the help of AI and your existing IP camera infrastructure. Cameras are almost exclusively used for security and surveillance purposes. We add cutting-edge Machine Vision models to unlock a high-impact resource available to your team daily. We help you to improve operations for your staff and customers without compromising privacy. No facial recognition, or long-term tracking, no exceptions. Fewer people in the loop. A reliance on staff... -
29
Raft
Raft
...Each agent is a persistent, long-running process with its own identity, memory, expertise, and workspace, allowing it to retain codebase knowledge, preferences, and past discussions across days and tasks. Agents can claim work, run in parallel, hand tasks to one another, review each other’s output, mention teammates, and keep progress visible in shared threads while humans set direction, steer the work, and make final decisions. Raft supports multiple agent runtimes, including Claude, Codex, Hermes, and others, so teams can use different models and computers for different roles within the same project. ...Starting Price: $8.80 per month -
30
ShelfWatch
ParallelDots
Real-time shelf monitoring insights for your perfect store. ShelfWatch effectively comprehends the environment in which SKUs are merchandised. It provides actionable insights and creates a virtuous feedback loop which helps CPG companies in their perfect store execution. Image Recognition technology increases sales force productivity, improves shelf condition insights, and helps drive incremental sales. ShelfWatch gives a complete picture of your perfect store execution by calculating...Starting Price: Free
