Search results for Supercomplete

NetThunder's platform allows you to set up on premise IT or computing infrastructure as easily as installing apps on a smartphone. Our platform works for systems of all sizes, whether it's for small business IT or a research-grade supercomputer suitable for data science

Rocky Linux is a free, open-source enterprise operating system designed to be fully compatible with Red Hat Enterprise Linux (RHEL). Developed by the Rocky Enterprise Software Foundation, it aims to provide a stable, production-ready platform for various computing environments, including desktops, servers, and supercomputers. The project was initiated in response to the discontinuation of CentOS, with the goal of continuing its mission to offer a community-supported, enterprise-grade operating system. Key Features and Functionality: - Binary Compatibility: Rocky Linux is engineered to be 100% bug-for-bug compatible with RHEL, ensuring seamless integration and operation for applications and services designed for RHEL environments. - Long-Term Support: The distribution offers a 10-year support lifecycle, providing users with regular updates and security patches to maintain system integrity and performance over time. - Community-Driven Development: As a community-supported project, Rocky Linux benefits from the collective input and collaboration of developers and users worldwide, fostering continuous improvement and innovation. - Easy Migration: Rocky Linux provides tools and scripts to facilitate smooth migration from other enterprise Linux distributions, minimizing downtime and simplifying the transition process. - Versatile Deployment Options: The operating system supports a wide range of architectures, including x86-64, ARM64, and others, making it suitable for diverse hardware environments. Primary Value and User Solutions: Rocky Linux addresses the need for a reliable, enterprise-grade operating system that is freely available and community-supported. By offering full compatibility with RHEL, it enables organizations to deploy and manage their workloads without the costs associated with proprietary solutions. The long-term support and regular updates ensure system stability and security, making it an ideal choice for businesses and institutions seeking a dependable platform for their critical operations. Additionally, the community-driven nature of Rocky Linux fosters a collaborative environment where users can contribute to and benefit from ongoing enhancements and support.

Automated High-Fidelity Flow Simulations for anyone. Improve your fluid dynamics with the power of supercomputers

Apache Airavata is a software framework designed to enable users to compose, manage, execute, and monitor large scale applications and workflows on distributed computing resources such as local clusters, supercomputers,computational grids, and computing clouds.

HPE Cray Supercomputers are advanced, high-performance computing systems designed to tackle the most demanding workloads in modeling, simulation, analytics, and artificial intelligence . Leveraging exascale-class technologies, these supercomputers deliver exceptional performance and scalability, enabling organizations to accelerate innovation and achieve faster time-to-insight. Key Features and Functionality: - Exascale Performance: HPE Cray Supercomputers are built to handle massive and converged workloads, providing the computational power necessary for complex simulations and data-intensive tasks. - Flexible Architecture: The systems offer a range of configurations, including options like the HPE Cray XD675, which features eight AMD Instinct™ MI300X accelerators and AMD EPYC™ 9004 Series processors, delivering impressive performance for AI model training and inference. - Advanced Cooling Solutions: Incorporating direct liquid cooling capabilities, these supercomputers efficiently manage heat from high-power components, enhancing energy efficiency and supporting sustainability goals. - Integrated Software Suite: The HPE Cray Programming Environment provides a comprehensive set of tools, including compilers and developer utilities, to optimize applications across modeling, simulation, analytics, and AI workloads. Primary Value and User Solutions: HPE Cray Supercomputers empower organizations to address complex computational challenges by providing unparalleled performance and scalability. They enable faster development cycles, improved decision-making, and the ability to process vast amounts of data efficiently. By integrating advanced technologies and flexible configurations, these supercomputers support a wide range of industries, including energy, financial services, health and life sciences, and manufacturing, in accelerating their innovation and maintaining a competitive edge.

Partium is a visual search company that has spent years crafting image recognition technology that solves real-world problems for the some of the world’s largest retail businesses. Today’s consumers hold a supercomputer with the power of a DSLR in the palm of their hands. This hardware combined with state-of-the-art image recognition makes it possible to efficiently and accurately find nearly any object with a smartphone snap. We believe strongly in the power of visual search as a mobile discovery experience and that visual search has the power to effect change in the way people discover, interact and shop for the products all around us.

Trampo uses an unlimited commercial license STAR-CCM+ and has unlimited direct access to a 200,000 cores supercomputer. We're equipped to take on the most complex industrial CFD challenges .

The HPE SGI 8600 System offers petaflop speed and scalability to thousands of nodes in an efficient, dense, and easy to manage proven architecture which currently powers some of the most powerful supercomputers in the TOP500.

Ratio1 is an innovative AI operating system that leverages blockchain technology to facilitate the rapid development and deployment of AI applications. By integrating decentralized infrastructure, Ratio1 transforms everyday devices into powerful AI supercomputers, enabling users to build, deploy, and maintain advanced AI solutions with minimal technical expertise. Key Features and Functionality: - Decentralized Infrastructure: Utilizes blockchain to create a trustless global supercomputer by harnessing idle computing resources from various devices. - Low-Code Development: Offers a user-friendly platform that simplifies AI application creation, reducing the need for extensive data science or DevOps teams. - Scalability and Privacy: Ensures secure, scalable, and private execution of AI pipelines through components like decentralized authentication, in-memory state databases, and homomorphic encrypted federated learning. - Tokenized Economy: Employs the R1 utility token to facilitate transactions within the ecosystem, such as processing jobs and provisioning GPU resources, while anti-inflationary Node Deeds align ownership with genuine network commitment. Primary Value and User Solutions: Ratio1 democratizes AI by lowering the entry barrier for innovators, teams, and enterprises, delivering speed, privacy, and sovereignty. Its decentralized framework reduces costs, enhances scalability, and accelerates deployment, making AI accessible, affordable, and adaptable for anyone seeking to harness its power.

RAGi is an enterprise retrieval-augmented generation (RAG) engine that turns internal documents into a governed, searchable knowledge base with cited answers. It supports hybrid search, multimodal input, and role-based access control. RAGi deploys in the cloud or fully on-premise on NVIDIA DGX Spark or Apple Mac Studio hardware — meeting the strict data-sovereignty and air-gap requirements of defense, national-security, government, and critical-infrastructure organizations that cannot send data to external APIs. Built by LargitData, an NVIDIA Taipei-1 supercomputer ecosystem partner.

Think Diffusion is like having your own personal AI art lab. We’re bringing pro-level AI art tools to everyone by providing the latest Stable Diffusion UIs to any device with a browser in just a few clicks (or taps). Bleeding-edge open source AI Art tools are much more powerful than general market products like Midjourney & Dall-E. But pro-level tools need technical skills to install components like Python, CUDA drivers and xFormers, not to mention expensive computer hardware to run well on. We encourage our creatives to spend their time creating, not troubleshooting errors and maintaining software/hardware. With Think Diffusion, having your own personal supercomputer configured and ready to go is as simple as clicking launch, with top-tier models, ControlNet and the most popular extensions already preloaded. Additional virtual machines can easily be launched in separate browser tabs, and can all be used simultaneously, even from your phone. Now anyone can be a mad AI art scientist without needing a lab or equipment, and have creative freedom and mastery over their work.

Deep Stream Micro is a graphics chip manufacturer specializing in the design and development of high-performance GPU solutions. Founded in May 2021 and headquartered in Shenzhen, China, the company focuses on creating GPUs with supercomputing capabilities tailored for applications such as graphics rendering, image processing, virtual reality, artificial intelligence, and high-performance computing. Key Features and Functionality: - General-purpose Graphics Processing Unit : Designed for both graphics rendering and parallel computing tasks, suitable for personal computers. - Edge Computing System-level Chip: Tailored for edge computing applications, including security systems, drones, robotics, and autonomous driving. - High-performance Computing Processor: Intended for use in artificial intelligence clouds and supercomputers, offering robust processing power for complex computations. Primary Value and User Solutions: Deep Stream Micro addresses the growing demand for domestically developed, high-performance GPU solutions in China. By providing GPUs with supercomputing features, the company enables industries to achieve advanced graphics rendering, efficient image processing, immersive virtual reality experiences, and powerful artificial intelligence computations. Their products cater to sectors requiring robust and efficient processing capabilities, thereby reducing reliance on foreign GPU technologies and fostering innovation within the domestic semiconductor industry.

Project December is an innovative platform that leverages advanced artificial intelligence to simulate text-based conversations with any individual, including those who have passed away. By utilizing patent-pending technology and operating on one of the world's most sophisticated supercomputers, it offers users a unique opportunity to engage in meaningful dialogues with AI-generated personalities. Key Features and Functionality: - Custom Personality Simulation: Users can create personalized AI simulations by providing detailed information about the individual they wish to emulate, including personal traits, speech patterns, and life history. - Advanced AI Integration: The platform employs deep AI algorithms to generate realistic and coherent conversations, enhancing the authenticity of interactions. - User-Friendly Interface: Project December offers an intuitive interface for both creating and engaging with AI personalities, making the experience accessible to a broad audience. - API Access: For developers, an API is available to programmatically interact with specific personality matrices, allowing for integration into various applications. Primary Value and User Solutions: Project December addresses the human desire for connection and closure by enabling conversations with AI representations of loved ones who are no longer alive. This can provide comfort, aid in the grieving process, and offer a sense of continued presence. Additionally, it serves as a tool for exploring human-AI interactions, advancing research in artificial intelligence, and offering developers a platform to integrate sophisticated conversational agents into their applications.

The GigaIO SuperNODE™ is a groundbreaking single-node supercomputer designed to meet the demands of next-generation AI and accelerated computing workloads. By integrating up to 32 AMD or NVIDIA GPUs into a single server, SuperNODE eliminates the complexities associated with multi-server configurations, offering a streamlined and efficient solution for intensive computational tasks. Key Features and Functionality: - High-Density GPU Integration: Supports up to 32 AMD Instinct™ MI210 GPUs or 24 NVIDIA A100 GPUs within a single node, providing exceptional computational power. - FabreX™ Memory Fabric: Utilizes GigaIO’s FabreX, a high-performance PCIe memory fabric, to seamlessly connect all accelerators, ensuring low-latency and high-bandwidth communication. - Energy Efficiency: Operates at approximately 7 kilowatts per 32-GPU deployment, reducing power consumption compared to traditional multi-server setups. - Space Optimization: Achieves a 30% reduction in rack space requirements, allowing for higher computational density within existing data center infrastructures. - Software Compatibility: Compatible with popular AI frameworks like PyTorch and TensorFlow, enabling users to run existing applications without modification. Primary Value and Problem Solved: SuperNODE addresses the challenges of deploying and managing large-scale AI and high-performance computing infrastructures by consolidating extensive GPU resources into a single, efficient node. This consolidation reduces network overhead, minimizes latency, and simplifies system administration. By eliminating the need for complex multi-server configurations and associated networking equipment, SuperNODE offers a cost-effective, energy-efficient, and high-performance solution for organizations aiming to accelerate their AI and computational workloads.

BaGuaLu is an advanced large-scale model training acceleration system designed to optimize the pre-training of AI models on GPU clusters. By implementing comprehensive system optimizations, BaGuaLu enhances the performance of training tasks on domestic A512 GPU clusters by an average of 30%. It also introduces a novel parallel scheme that delivers an additional 10% performance boost and improves distributed communication efficiency by 50%. Furthermore, BaGuaLu extends its capabilities to domestic supercomputers, scaling up to 100,000 servers to facilitate the accelerated pre-training of models with trillions of parameters. Key Features and Functionality: - Comprehensive System Optimization: Achieves a 30% average performance improvement in training tasks on domestic A512 GPU clusters. - Enhanced Parallel Processing: Introduces a new parallel scheme that provides an additional 10% performance enhancement. - Improved Distributed Communication: Boosts distributed communication efficiency by 50%, facilitating faster data exchange during training. - Scalability: Capable of expanding to 100,000 servers, enabling the accelerated pre-training of models with trillions of parameters. Primary Value and Problem Solved: BaGuaLu addresses the challenges associated with training large-scale AI models, which require substantial computational and memory resources. By optimizing system performance and scalability, BaGuaLu significantly reduces training times and resource consumption, making it feasible to develop and deploy models with trillions of parameters. This advancement empowers researchers and organizations to push the boundaries of AI capabilities, leading to more accurate and efficient models across various applications.

DUG Technology is an ASX-listed company specializing in high-performance computing solutions, geoscience services, and scientific data analysis software. With a strong foundation in applied science, DUG designs, owns, and operates some of the largest and greenest supercomputers globally, offering innovative processing and storage solutions to a diverse range of industries. Key Features and Functionality: - High-Performance Computing as a Service : DUG provides cloud-based HPC solutions, delivering powerful, bare-metal compute and storage resources that scale with ease. - Geoscience Services: Offering comprehensive geoscience solutions, DUG specializes in seismic processing, full waveform inversion, depth imaging, and quantitative interpretation, maximizing the value of seismic data. - Scientific Data Analysis Software: DUG develops proprietary software, including DUG Insight, which supports data analysis, code optimization, and algorithm development for various scientific applications. - Immersion Cooling Technology : DUG's patented immersion cooling solution reduces power consumption by up to 51%, enhancing the efficiency and lifespan of computing hardware. - Edge Computing Solutions : DUG Nomad is a mobile, modular data center solution that brings HPC capabilities to remote locations, engineered for resilience and sustainability. Primary Value and Solutions: DUG Technology empowers organizations to tackle complex data challenges by providing scalable, efficient, and environmentally friendly HPC solutions. Their services enable clients across industries such as energy, radio astronomy, biomedicine, and meteorology to process vast datasets rapidly, leading to accelerated research, improved decision-making, and innovative breakthroughs. By integrating advanced cooling technologies and offering tailored support, DUG ensures optimal performance and sustainability in high-performance computing environments.

Altair® PBS Professional® is a high-performance workload manager and job scheduler designed to enhance productivity, optimize resource utilization, and simplify administration across clusters, clouds, and supercomputers. It efficiently manages workloads ranging from extensive HPC tasks to millions of small, high-throughput jobs. With dynamic policies, AI workload support, a robust customization API, and broad hardware compatibility, PBS Professional securely addresses the most demanding challenges, maintaining efficiency throughout an organization's HPC environment. Key Features and Functionality: - Exascale Computing Support: Capable of orchestrating and optimizing massive compute power, managing up to 50,000 nodes, 10 million jobs, and 1,000 concurrent active users. - Policy-Driven Scheduling: Accelerates job execution and selects optimal job placement across diverse, distributed resources, with topology-aware and GPU scheduling capabilities. - Budget Allocation and Cost Control: Manages enterprise budgets by allocating user credits for workloads, with customizable currencies and comprehensive reporting of credit consumption by groups and individual users. - Unparalleled Security: The only workload manager to achieve EAL3+ certification and integrate with RedHat’s SELinux cross-domain security technology. - Modern Web Interface: Features a powerful GraphQL interface for job and node status operations, including job submission, deletion, alteration commands, and interactive API for crafting queries. Primary Value and User Solutions: PBS Professional delivers a comprehensive solution for managing complex HPC workloads, ensuring optimal resource utilization and efficiency. It simplifies administrative tasks, supports mixed AI and HPC workloads, and offers extensive configurability to meet unique organizational demands. By providing robust security measures and a modern interface, it addresses the critical needs of industries requiring reliable and scalable workload management solutions.

Gryf is a portable AI supercomputer, co-designed by GigaIO and SourceCode, that delivers datacenter-class computing power directly to edge operations. Housed in a TSA-friendly, suitcase-sized form factor, Gryf enables real-time data processing and analytics in field environments, eliminating the need to transfer data to centralized datacenters. This innovation allows organizations to transform vast amounts of sensor data collected at the edge into actionable insights on-site. Key Features and Functionality: - Modular and Composable Design: Gryf offers a fully configurable solution through software or by interchanging compute, accelerator, storage, or network sleds, allowing dynamic reconfiguration to meet diverse mission requirements. - Scalability: Up to five Gryf units can be seamlessly interconnected using GigaIO’s FabreX™ AI memory fabric, enabling processing of petabyte-sized datasets and sharing of resources across connected units. - High Compute Density: Each Gryf chassis can accommodate a mix of six compute, accelerator, storage, or network sleds, supporting high-performance GPUs and substantial storage capacity (up to a petabyte) to execute complex AI tasks directly at the operational site. - Portability: Designed for true mobility, Gryf features a rugged, roll-on TSA-friendly form factor that fits into an overhead bin, facilitating deployment at any location. Primary Value and Problem Solved: Gryf addresses the challenge of processing and analyzing large volumes of data collected in field environments by providing a portable, high-performance computing solution. By enabling real-time analytics at the edge, Gryf eliminates delays associated with data transfer to centralized datacenters, enhances operational responsiveness, and supports critical applications in defense, sports analytics, media production, and energy sectors. Its modular design and scalability ensure adaptability to diverse and evolving mission requirements, offering a cost-effective and efficient solution for on-site data processing needs.

CloudyCluster by Omnibond is a comprehensive solution that enables users to create and manage High Performance Computing and High Throughput Computing environments seamlessly on Google Cloud Platform and Amazon Web Services . It offers a familiar HPC environment while leveraging the scalability and flexibility of cloud resources, allowing users to configure jobs with various instance types, including GPU and preemptible instances, and customize memory and CPU configurations to meet specific computational needs. Key Features and Functionality: - Automated Cluster Deployment: Quickly set up a fully operational and secure computation cluster within minutes, complete with encrypted storage, compute resources, and HPC schedulers like Torque or SLURM integrated with the CCQ Meta-Scheduler. - Interactive Research Computing: Utilize a graphical user interface developed in collaboration with the Ohio Supercomputer Center, providing non-computer scientists access to cloud-based HPC tools without the need for command-line interfaces. Features include file management, job script drafting, and launching computing instances with or without GPU acceleration. - Scalable Storage Solutions: Leverage a variety of storage technologies available through GCP and AWS, configuring data to reside in different storage classes based on age or access frequency, and pulling necessary data to High Performance Parallel Storage for computation. - Elastic Scaling: Dynamically scale computational resources, leveraging millions of virtual CPUs as needed, ensuring cost-effective and efficient processing for large-scale workloads. - Security and Compliance: Deploy clusters within a Virtual Private Cloud , utilizing encrypted storage and following industry best practices for security, including multi-factor authentication and SSL certificates. Primary Value and User Solutions: CloudyCluster democratizes access to HPC resources by simplifying the creation and management of cloud-based computational environments. It addresses the challenges of setting up and maintaining on-premises HPC infrastructure by providing an on-demand, scalable, and cost-effective solution. Researchers and organizations can focus on their computational tasks without the overhead of hardware management, benefiting from the elasticity of the cloud to handle varying workloads efficiently. This leads to reduced time to discovery and innovation, as users can rapidly deploy and scale resources according to their project requirements.