Search results for InFrame

Cloud-based contact center software

SHI is a provider of end-to-end IT solutions built on technologies from AWS, Cisco, Dell, Microsoft, and more. With 35 years of experience and nearly 6,000 global professionals, SHI helps over 17,000 organizations select, deploy, and manage IT solutions that drive growth and innovation. Combining the scale of a global integrator with the personalized service of a local partner, SHI empowers smart technology decisions to support your strategic goals.

FriendliAI is a GPU-inference platform that enables organizations to deploy, scale, and monitor large language and multimodal models in production without the need to own or manage GPU infrastructure. It offers unmatched speed, cost efficiency, and operational simplicity, allowing businesses to focus on innovation rather than infrastructure management. Key Features and Functionality: - Dedicated Endpoints: Provides autopilot LLM inference endpoints that are performant, scalable, and cost-effective, enabling easy creation and management of generative AI models. - Custom Model Support: Supports both open-source and custom LLMs, allowing organizations to deploy models tailored to their unique requirements and domain-specific challenges. - Dedicated GPU Resource Management: Offers dedicated GPU instances to ensure consistent access to computing resources without contention or performance fluctuations. - Multi-LoRA Serving on a Single GPU: Enables serving multiple LoRA models on a single endpoint using just one GPU, streamlining operations and maximizing resource efficiency. - Auto-Scaling: Employs intelligent auto-scaling mechanisms that dynamically adjust computing resources based on real-time demand and workload patterns. Primary Value and Problem Solved: FriendliAI addresses the challenges of deploying and managing large-scale AI models by providing a platform that simplifies the process, reduces operational costs, and enhances performance. By offering dedicated GPU resources, custom model support, and efficient scaling, it allows businesses to focus on developing and deploying AI solutions without the complexities of infrastructure management. This results in improved reliability, cost savings, and the ability to handle heavy traffic efficiently.

Hyperview DCIM hybrid IT management software enables the CIO to proactively reduce their total cost of ownership of infrastructure, wherever application workloads reside. From on-premises to the cloud, now manage it all through one platform. The

Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

Icinga is a monitoring software project that began as a fork of Nagios.

CoreSite Realty Corporation (NYSE:COR) delivers DataCenter and #Interconnection solutions.

NSX enables the creation of entire networks in software and embeds them in the hypervisor layer, abstracted from the underlying physical hardware.

With Faddom, you gain granular visibility of your entire IT environment, mapping your applications, networks and dependencies in real-time. Uniquely, Faddom works without credentials, firewalls or agents. Faddom is completely platform-agnostic and has limitless use-cases from cloud migration to cost optimization.

Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use.

Ultimo is a leading AI-augmented Enterprise Asset Management solution, designed to help organizations in manufacturing, utilities, healthcare and logistics maximize the performance, reliability, and safety of their physical assets. By bringing together maintenance, safety, and operations in one integrated, data-driven platform, Ultimo enables organizations to work smarter, safer, and more efficiently.

Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.

Contabo Object Storage is a cost-effective, scalable cloud storage solution designed to meet diverse data management needs. With an S3-compatible API, it ensures seamless integration with existing applications, facilitating effortless data migration. The service offers robust security features, including triple-replication data protection and always-on DDoS mitigation, guaranteeing high availability and data integrity. Its user-friendly web interface simplifies storage management, while flexible access controls and link-sharing capabilities enhance collaboration. With competitive pricing and no hidden fees, Contabo Object Storage provides a transparent and reliable platform for storing and managing data in the cloud. Key Features and Functionality: - S3-Compatible API: Facilitates easy integration and data migration by adhering to the well-established S3 standard. - Triple-Replication Data Protection: Ensures data redundancy and high availability, allowing continuous access even if a server fails. - Always-On DDoS Protection: Provides continuous defense against DDoS attacks, maintaining the security and accessibility of your files. - User-Friendly Web Interface: Offers an intuitive platform for managing storage with simple clicks and drag-and-drop functionality. - Flexible Access Control Lists (ACLs: Allows precise permission management, enabling secure and efficient data control. - Link Sharing Capabilities: Enables smooth sharing of files and management of public access with just a few clicks. - Auto-Scaling Limits: Allows setting data growth caps to prevent unexpected costs, providing control over expenses. - Support for Large Objects: Handles files up to 5TB, accommodating large multimedia files, system images, and database dumps. Primary Value and User Solutions: Contabo Object Storage addresses the need for affordable, secure, and scalable cloud storage. It eliminates the complexity and unpredictability often associated with cloud storage pricing by offering a transparent, all-inclusive rate. The service's robust security measures and high availability ensure data integrity and accessibility, making it suitable for businesses and individuals seeking reliable data storage solutions. Its compatibility with various tools and applications, along with a user-friendly interface, simplifies data management and integration, catering to both technical and non-technical users.

Contact Center Software available both for cloud (CCaaS), Hybrid and On-Premise.

Baseten is a comprehensive AI infrastructure platform designed to streamline the deployment, scaling, and management of machine learning models in production environments. By offering a suite of tools and services, Baseten enables engineering and machine learning teams to integrate AI capabilities into their applications efficiently, without the need for extensive backend or MLOps expertise. The platform supports a wide range of models, including open-source, custom, and fine-tuned variants, ensuring flexibility and adaptability to various use cases. Key Features and Functionality: - Dedicated Deployments: Serve AI models on infrastructure specifically optimized for production, ensuring high performance and reliability. - Model APIs: Quickly test and prototype new workloads with production-grade performance, facilitating rapid development cycles. - Training Infrastructure: Utilize inference-optimized infrastructure to train models without restrictions, enhancing performance in production settings. - Cloud-Native Infrastructure: Scale workloads across any region and cloud provider, benefiting from fast cold starts and 99.99% uptime. - Developer Experience: Deploy, optimize, and manage models with a user-friendly interface designed for production environments. - Forward Deployed Engineering: Collaborate with dedicated engineers to build, optimize, and scale models with hands-on support from prototype to production. Primary Value and Problem Solved: Baseten addresses the complexities associated with deploying and managing machine learning models in production. By providing a robust infrastructure and developer-friendly tools, it eliminates the need for specialized backend or MLOps knowledge, allowing teams to focus on building and refining their models. This accelerates the integration of AI into business operations, enhances scalability, and ensures cost-effective, high-performance model serving. Ultimately, Baseten empowers organizations to harness the full potential of machine learning without the traditional operational burdens.

Get workload-level visibility into AWS, Azure, and GCP without the operational costs of agents. You could buy three tools instead… but why? Orca replaces legacy vulnerability assessment tools, CSPM, and CWPP. Deploys in minutes, not months.

Middleware is an eBPF-based real-time cloud observability platform to bring all metrics, logs, and traces in one unified timeline to debug issues faster.

By the time you receive a request for tech support, that employee or customer has already begun watching the clock. Solve their issue and return their sanity quickly with the most innovative remote support solution in the industry.

Xima CCaaS is a cloud-based contact center management software that provides real-time insights into all the interactions that occur within a contact center. Xima CCaaS offers an intuitive interface that enables managers to easily track and monitor call volume, wait times, and agent performance. It also provides actionable data that can help managers make informed decisions to improve the efficiency and effectiveness of your contact center, all at a fraction the cost of the larger competitors.