Qwilt, a leading edge cloud provider, has successfully deployed over 2,000 edge nodes in 38 countries across six continents. This achievement solidifies their position as the largest true edge cloud embedded within service provider networks.
With a capacity of over 150 Tbps, Qwilt’s platform offers ultra-low latency (sub-5ms) and high-performance delivery for real-time applications. This infrastructure enables seamless access to the last mile of the network, fostering a global edge ecosystem capable of ultra-low latency compute and application delivery.
Partnering with nearly 200 major service, content, and application providers such as Airtel, BT, Comcast, Telefonica, Verizon, and Vodafone, Qwilt’s Open Edge framework has revolutionized edge computing. Alon Maor, CEO of Qwilt, emphasizes the significance of exceeding the 2,000 edge node milestone, highlighting the growing demand for hyper-local edge compute and the platform’s scalability on a global level.
Qwilt’s edge nodes, strategically embedded within last-mile networks, offer a more efficient and scalable alternative to traditional centralized cloud models. The Open Edge framework’s scale and reach position Qwilt as a foundational enabler of distributed content and compute delivery, catering to the rising demand for real-time applications like streaming, gaming, and AI-driven services.
In a recent development, Qwilt announced a strategic partnership with Corix to enhance content delivery across North America and Europe using Qwilt’s Open Edge technology. This collaboration underscores the continuous evolution of edge cloud infrastructure and the importance of seamless content delivery in the digital landscape.
In conclusion, Qwilt’s innovative approach to edge cloud technology is reshaping the global edge infrastructure landscape, paving the way for a more dynamic, programmable edge cloud ecosystem. This transformative shift towards distributed content and compute delivery underscores the company’s commitment to meeting the evolving demands of the digital age.