Vapor IO, a leading provider of edge computing infrastructure and services, has announced a partnership with Comcast to expand the availability of its new offering, Zero Gap AI, across the United States. Zero Gap AI is a micro-cloud solution that leverages the Nvidia MGX platform and Supermicro’s AI-optimized servers to deliver private 5G and GPU-based micro-clouds to various locations.
Initially launching as a pilot program in Atlanta and Chicago, Zero Gap AI will be integrated with Comcast’s network infrastructure in these markets. The collaboration between Vapor IO and Comcast began last year, with a focus on testing low-latency edge services and applications. This latest partnership is an extension of that work and aims to leverage Comcast’s network capabilities to unlock new opportunities for businesses, residents, and mobile customers.
Elad Nafshi, Chief Network Officer at Comcast, expressed excitement about the collaboration, stating that the company’s network and connectivity services enable a wide range of applications. He emphasized the continuous innovation and collaboration with partners like Vapor IO to push the boundaries of what edge computing can achieve.
Beyond the initial pilot markets, Zero Gap AI plans to expand into other US markets with access to Vapor IO’s Kinetic Grid infrastructure, including Dallas, Las Vegas, and Seattle. This expansion opens up possibilities for cable operators beyond Comcast, presenting a significant opportunity for the industry.
Vapor IO’s CEO and founder, Cole Crawford, highlighted the benefits of Zero Gap AI, stating that it brings cloud-like capabilities without the complexities of building wireless networks from scratch. By deploying AI inferencing at the edge, companies can support multi-market operations and large-scale smart city deployments effectively.
Zero Gap AI’s potential use cases are diverse. For retailers, it offers AI-assisted automated checkouts, eliminating the need for expensive AI equipment at each store. Cities can utilize the solution for computer vision services, enhancing pedestrian safety systems across multiple intersections. Construction sites can leverage computer vision with AI inferencing to ensure compliance with safety regulations.
As Vapor IO continues to expand its network backbone and presence across US markets, the company aims to drive the industry’s revenue growth through the deployment of large vision models for inferencing. With the partnership with Comcast and the broader availability of Zero Gap AI, these ambitions are steadily becoming a reality.
Frequently Asked Questions (FAQ) about Vapor IO’s Partnership with Comcast for Zero Gap AI:
Q: What is Zero Gap AI?
A: Zero Gap AI is a micro-cloud solution that utilizes Nvidia MGX platform and Supermicro’s AI-optimized servers to provide private 5G and GPU-based micro-clouds to different locations.
Q: What is the purpose of the partnership between Vapor IO and Comcast?
A: The partnership aims to expand the availability of Zero Gap AI across the United States by integrating it with Comcast’s network infrastructure. It builds upon their previous collaboration to test low-latency edge services and applications.
Q: Which cities will initially launch the Zero Gap AI pilot program?
A: The Zero Gap AI pilot program will initially launch in Atlanta and Chicago.
Q: Where will Zero Gap AI expand to beyond the pilot markets?
A: Zero Gap AI plans to expand into other US markets with access to Vapor IO’s Kinetic Grid infrastructure, including Dallas, Las Vegas, and Seattle.
Q: What are the benefits of Zero Gap AI?
A: Zero Gap AI brings cloud-like capabilities without the complexities of building wireless networks from scratch. It allows companies to deploy AI inferencing at the edge, supporting multi-market operations and large-scale smart city deployments effectively.
Q: What are some potential use cases for Zero Gap AI?
A: Zero Gap AI can be utilized for various purposes, such as AI-assisted automated checkouts for retailers, computer vision services for cities to enhance pedestrian safety systems, and construction site compliance with safety regulations through computer vision and AI inferencing.
Q: Who expressed excitement about the collaboration between Vapor IO and Comcast?
A: Elad Nafshi, the Chief Network Officer at Comcast, expressed excitement about the collaboration and emphasized the company’s commitment to continuous innovation and collaboration with partners like Vapor IO to push the boundaries of edge computing.
Q: What is Vapor IO’s goal as it expands its network backbone?
A: Vapor IO aims to drive the industry’s revenue growth by deploying large vision models for inferencing as it expands its network backbone and presence across US markets.
Definitions:
– Edge computing infrastructure: Refers to the deployment of computing resources closer to the source of data, enabling faster processing, reduced latency, and improved efficiency.
– Micro-cloud: A localized cloud computing environment that brings cloud-like capabilities to specific locations or regions.
– Nvidia MGX platform: An AI computing platform developed by Nvidia.
– Supermicro’s AI-optimized servers: Servers specifically designed and optimized for AI workloads and applications.
– Latency: The time delay experienced when data is transmitted between its source and destination.
– AI inferencing: The process of using pre-trained AI models to make predictions or draw conclusions from data inputs.
– Cable operators: Companies that provide cable television, internet, and other telecommunication services.
Related links:
– Vapor IO: Official website of Vapor IO, the leading provider of edge computing infrastructure and services.
– Comcast: Official website of Comcast, a global media and technology company.
– Nvidia: Official website of Nvidia, a leading technology company specializing in GPUs and AI computing platforms.
– Supermicro: Official website of Supermicro, a major server and storage solutions provider.
The source of the article is from the blog rugbynews.at