Product Listings
Amazon EC2 P3 Instances is a software designed to provide high-performance computing capabilities through GPU-based virtual servers. This software enables users to run complex machine learning, artificial intelligence, and high-performance computing workloads by offering access to NVIDIA Tesla V100 GPUs. Features include scalable compute resources, support for deep learning frameworks, and enhanced storage and networking options. The software addresses business challenges related to training and inference for machine learning models, accelerating simulations, and processing large-scale data analytics by offering efficient infrastructure for demanding workloads.
Cloud GPU is a software provided by Google that offers access to high-performance graphical processing units through a cloud-based infrastructure. The software enables users to leverage GPU acceleration for tasks such as machine learning model training and inference, scientific computing, rendering, and data processing. It supports a range of GPU types to accommodate different computational needs and integrates with other Google Cloud services for scalability and management. Cloud GPU addresses business challenges associated with acquiring and maintaining expensive GPU hardware by providing on-demand resources, flexible usage options, and secure access for handling intensive workloads in the cloud environment.
IBM Bare-metal GPU is a software that enables users to deploy and manage x86-based servers equipped with dedicated graphics processing units. The software provides direct access to physical GPU resources, supporting intensive computational workloads such as machine learning, artificial intelligence, and high-performance computing. It facilitates flexible allocation and configuration of servers according to application requirements, optimizing performance for data-intensive tasks. The software helps organizations address complex business challenges that require substantial graphical and parallel processing power by enabling scalable and customizable infrastructure solutions within local or cloud environments.
Azure NC is a cloud-based software designed for high-performance computing and artificial intelligence workloads. It provides GPU-enabled virtual machines that support parallel processing for intensive computational tasks, such as deep learning model training, scientific simulations, and complex data analysis. The software offers scalable resources with optimized hardware configurations to facilitate development and deployment of applications that require accelerated graphics and machine learning capabilities. By integrating with existing workflows, it addresses business needs for fast processing and efficient handling of large datasets in research, analytics, and development environments.
Cloud TPU (Beta) is a software designed to facilitate the acceleration of machine learning workloads using Tensor Processing Units (TPUs) in cloud environments. The software provides access to specialized hardware optimized for training and deploying deep learning models. It enables users to scale experiments and execute computationally intensive applications, such as neural network training and inference, without managing physical infrastructure. Cloud TPU (Beta) supports integration with popular machine learning frameworks, allowing for streamlined model development and deployment. The software addresses business needs related to high-performance computing and scalability in artificial intelligence and data processing projects.
E2E Networks Cloud GPU software provides access to cloud-based GPU computing resources, enabling users to run high-performance workloads such as artificial intelligence, machine learning, deep learning, and data analytics in a scalable environment. The software offers virtualized GPU instances, allowing users to deploy and manage computing resources on demand. It facilitates efficient processing of large-scale datasets and supports major frameworks and libraries required for training and inference tasks. By leveraging cloud infrastructure, businesses can optimize computational capacity for research, development, and production requirements without the need for on-premise hardware investment.
Mirantis k0rdent AI enables Enterprises to provision multi-tenanted AI-ready infrastructure and core services - all within a single integrated offering that reduces time-to-market for new AI-powered products.
Trusted, Composable, Sovereign AI Infrastructure: Complete control over data residency, security, and regulatory compliance in on-prem, hybrid, or edge deployments.
Accelerated Time-to-Value: Operationalize GPUs the same day hardware arrives with rapid provisioning using declarative templates.
Multi-Tenancy and Isolation at Scale: Hard multi-tenancy with isolation at GPU, VM, and Kubernetes layers for efficient resource sharing.
Seamless Lifecycle Management: Unified control plane for managing bare metal, virtualization, Kubernetes clusters, and AI services.
Broad Ecosystem: Supports NVIDIA, AMD, Intel GPU technologies, and a curated catalog of AI/ML tools and observability services.
Flexible Deployment: From dedicated bare metal to virtualized on-premises to public clouds
Valohai is a software designed for machine learning operations that focuses on managing the lifecycle of machine learning models. It provides automation for running, tracking, and monitoring machine learning experiments, enabling users to reproduce results and manage data pipelines efficiently. The software supports collaboration across teams by facilitating version control for code, data, and models, and integrates with various cloud platforms and container orchestration tools. Valohai assists organizations in scaling machine learning workflows, maintaining audit trails, and optimizing resource utilization, addressing challenges related to reproducibility, scalability, and operationalization of machine learning projects.