AR, VR, AI & Digital Solutions|IAvarse

Increase your business ROI by Upgrading to the Cloud

Cloud brings to businesses unlimited scalability at affordable costs. Compared to traditional IT, cloud computing offers organisations a host of benefits like cost-effectiveness of paying for only the resources you use,faster time to market for mission-critical applications and services, the ability to scale easily with the right cloud provider globally and much more and organisations are seeing additional benefits from combining public cloud services purchased from a cloud services provider with private cloud infrastructure they operate themselves to deliver sensitive applications or data to customers, partners and employees. As a Cloud Solutions Provider, our goal is to be a trusted partner for our clients, helping them to achieve their business goals and succeed in today and tomorrow’s digital landscape. We strive to deliver exceptional customer service and support, as well as provide valuable insights and expertise to help our clients make informed decisions about their technology needs.

Key Features

Infrastructure management

Cloud computing providers maintain large data centers with computing resources optimized for high-capacity and secure services, including servers, storage, and network infrastructure.

Multiple Infrastructure Service Models

Implement and scale your product by different levels of controls and services using multi-service management such as IaaS, PaaS, SaaS.

Virtualization

Enables efficient and maximum utilisation of physical resources by creating virtual machines (VMs) or containers while providing isolation between different users and applications.

High Performance Computing for Metaverse

Our integration of Nvidia CloudXR solutions enables AR/VR experiences on thin headsets with good battery life and user comfort through cloud-based rendering over Wi-Fi and 5G networks.

DevSecOps

DevOps is the key to our digital business transformations, emphasizing automation, collaboration, and rapid iteration via CI/CD methodologies that ignite accelerated software delivery pipelines.

End to End Cloud Migration

Our DevOps practice, driven by proven DevOps and CI/CD methodologies, plays a vital role in igniting comprehensive digital business transformations. It emphasizes collaboration, automation, rapid iteration, and accelerated software delivery pipelines.

Use Cases

3D Application Streaming

Enterprises are integrating augmented reality (AR) and virtual reality (VR) into their workflows to drive design reviews, virtual production, location-based entertainment and Many more.

Big Data Analytics

Cloud computing provides the computational power and storage capacity required for processing and analysing large volumes of data. Organisations can leverage cloud-based analytics platforms to perform complex data analysis, gain insights, and make data-driven decisions without the need for significant on-premises infrastructure.

Disaster Recovery and Business Continuity

Cloud-based disaster recovery solutions help organisations prepare for and recover from unexpected events. By replicating data and infrastructure to the cloud, businesses can ensure business continuity, minimise downtime, and restore operations more efficiently in the event of a disaster.

Internet of Things (IoT) Applications

Cloud computing is integral to IoT implementations. Cloud platforms can securely collect, store, and analyze data from connected devices, enabling real-time monitoring, data processing, and control. The cloud's scalability and flexibility accommodate the large-scale data processing demands of IoT deployments.

Content Delivery and Streaming

Cloud-based content delivery networks (CDNs) enable the efficient distribution of content, such as websites, videos, and media files, to users across different geographic locations. CDNs enhance performance, reduce latency, and improve user experiences by delivering content from edge servers closest to the end users.

Machine Learning and Artificial Intelligence

Cloud computing provides the computational resources and scalable infrastructure needed for training and deploying machine learning and AI models. By leveraging cloud-based machine learning platforms and services, organizations can develop and deploy intelligent applications without heavy upfront investment in hardware and infrastructure.

Cloud Computing