Transform Your Business with Intequus Cloud Edge Solutions
Harness Lower Latency and Superior Storage With Cloud Edge Computing
Applications that are transforming industries depend on edge computing. By bringing processing capabilities closer to end-users, devices, and data sources, edge computing reduces latency and enables applications like artificial intelligence (AI), virtual reality (VR), and machine learning (ML). According to Gartner Research, by 2025, approximately 75% of enterprise data will be processed at the edge.
Cloud edge solutions are crucial to managing organizational costs while increasing the computing power available to your applications. They help businesses adapt to the needs of SaaS, PaaS, and IaaS use cases by providing unparalleled flexibility. Improve user experiences and team capabilities by harnessing cloud edge computing.
Intequus can position your organization for success. With 30 years of custom engineering experience, we design cloud edge solution platforms optimized for AI edge, cloud compute and storage, and edge HPC.
Hardware Engineered for Edge Cloud Deployment Models
Intequus designs IT infrastructure for three cloud edge solutions.
AI edge allows companies to provide extremely low latencies to their customers and improve neural networks. Intequus provides the hardware you need to power AI at the edge, including portable options like NVIDIA’s Jetson technology and HPC systems capable of delivering thousands of tera operations per second.
Organizations are increasingly concerned about networking, security, and data transport. Additionally, balancing power and storage costs with data retrieval can be a challenge. Intequus provides organizations with cloud infrastructure at the edge to support their scalability, elasticity, and transport needs.
High-performance computing empowers businesses, scientists, and educators with needed tools to innovate across their fields. Intequus helps organizations accurately calculate the TCO of their hardware and design edge HPC solutions that optimize compute power for organizational budgets.
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