The platform addresses the growing fragmentation of AI compute resources, where connectivity is often treated as an afterthought. By utilizing a neutral Network-as-a-Service model, insidepacket allows operators and GPU providers to offer dedicated on-ramps under their own brands. This architecture enables enterprises to bypass lengthy manual integration projects, securing private, segmentable connections to data centers and cloud resources with elastic bandwidth.
insidepacket Debuts AI Access Platform to Bridge GPU Cloud Connectivity
Public clouds dominated the enterprise market by mastering reach, not just processing power. Now, Palo Alto-based insidepacket is applying that same logic to artificial intelligence, launching an AI Access Platform designed to connect enterprises to GPU providers through private, on-demand network paths that activate in minutes rather than months.
Zayo Europe serves as the platform's initial partner, integrating the solution into its infrastructure to support data sovereignty requirements within the region. By keeping AI traffic within national borders on trusted operator networks, the system meets strict compliance needs while maintaining agility. According to insidepacket CEO Eli Karpilovski, the goal is to shift the power dynamic in the AI value chain, ensuring that network operators and service providers maintain the customer relationship and margins rather than acting solely as conduits for data.
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