We deploy AI inference servers directly at Internet Exchanges across the United States — eliminating the latency tax of centralized cloud for Starlink, satellite, and rural broadband users.
Over 10 million Starlink subscribers and tens of millions on rural broadband route every AI request through distant data centers — adding hundreds of milliseconds to every interaction.
Starlink traffic crosses a ground station, traverses the internet to a hyperscale data center, processes, then returns the same path. Every hop adds latency that real-time AI cannot tolerate.
Fixed wireless, WISP, and tribal broadband networks traverse multiple transit hops before reaching cloud GPU clusters — often crossing the entire country to reach Virginia or Oregon.
AWS, Azure, and GCP concentrate GPU resources in a handful of metro regions. If you are not in Ashburn or Portland, you pay the latency tax on every API call.
Cloud GPU pricing carries 70–80% gross margins. Customers pay premium rates for shared infrastructure that does not prioritize their network path or latency profile.
Internet Exchanges are where networks physically interconnect. By placing GPU servers directly at these peering points, we intercept traffic before it ever reaches the cloud.
Edge AI infrastructure is not speculative. These trends are measurable, accelerating, and creating a market that did not exist three years ago.
Starlink has surpassed 5 million users worldwide and grows exponentially. Amazon Kuiper, OneWeb, and Telesat are launching thousands more satellites. Within five years, tens of millions of people will access the internet primarily through low-earth-orbit satellite constellations — and every one of them needs edge compute that eliminates the 200ms cloud round-trip.
Voice agents that replace IVR phone trees. Customer service that responds in real time. Medical intake, legal document review, agricultural monitoring, equipment diagnostics — all powered by large language models that must respond faster than human perception allows.
Llama, Mistral, DeepSeek, and dozens of other open-source models now match or exceed proprietary cloud AI for most production workloads. You no longer need to pay per-token cloud markup or rent GPU instances at 80% margins. Production-grade inference runs on your own hardware, your own network, with your own data.
Whether you are a satellite user, a service provider, or a business deploying AI agents — moving inference to the edge changes what is achievable.
Voice AI agents that respond like a human conversation. Sub-5ms processing means natural flow with no awkward pauses. Callers cannot distinguish AI from a live agent.
Processing happens on dedicated hardware at the IX — not in a shared cloud tenant. Customer conversations, medical records, and proprietary data never leave the network edge.
Dedicated edge hardware costs a fraction of cloud API pricing, and the cost decreases as models become more efficient. Buy infrastructure instead of renting at hyperscaler margins.
A rancher in Montana on Starlink gets the same AI performance as a developer in San Francisco on gigabit fiber. A fishing vessel in the Pacific matches an office in downtown Seattle.
Each POP operates independently. Add a GPU, add capacity. Add a POP, add coverage. No single point of failure, no region-wide outages, no cloud availability zone dependency.
Government, military, tribal, and healthcare customers require known data residency. Edge processing on domestic hardware with deterministic network paths satisfies sovereignty requirements.
Each POP features a Juniper MX204 BGP router, NVIDIA GPU inference servers, and direct peering on the IX fabric — running 100% open-source AI models.
Every service runs on our own hardware, our own ARIN-allocated IP space, with BGP peering at every IX. No cloud middlemen. No reselling.
OpenAI-compatible REST API running open-source LLMs on dedicated NVIDIA GPU hardware. Llama, Mistral, DeepSeek — quantized for production throughput. Sub-5ms at the IX.
Bond multiple Starlink terminals into a single high-throughput connection with automatic failover. MPTCP aggregation terminated directly at the Internet Exchange.
AI-powered phone agents for customer service, scheduling, and intake. Forward your calls — works with any existing phone system. No PBX migration required. Available 24/7.
Virtual private servers on enterprise hardware with IX-connected networking. Native IPv4 from our own ARIN-allocated address space. Direct peering access.
Static content caching at seven IX locations with GPU-powered dynamic content generation. The first CDN where your edge node can think, not just cache.
BGP transit with direct IX peering at every location. Full routing table, RPKI-signed route origin, optimized for satellite and rural last-mile networks.
Peering Edge Networks is built on the infrastructure expertise of Richesin Engineering LLC — a telecommunications and managed services company with over 25 years of experience building networks across Oregon, Hawaii, and Alaska.
We have climbed the towers, spliced the fiber, and deployed the networks that connect underserved communities from remote tribal villages to Pacific island communities. We know what reliable infrastructure demands in challenging environments.
Now we are applying that same operational discipline to the next frontier: bringing GPU compute and AI inference to the peering points where network traffic naturally flows — so that every user, regardless of location, receives the same low-latency AI experience.
Whether you need Starlink bonding, low-latency AI inference, Voice AI agents, or want to explore investment and partnership opportunities — we want to hear from you.
Richesin Engineering LLC
Central Oregon
Own ASN + IPv4 from ARIN
PeeringDB: Coming soon
SIX — Seattle
DRFxchange — Honolulu
Equinix IX — Ashburn
Any2West — Los Angeles
Any2Chicago — Chicago
DE-CIX — Dallas
FL-IX — Miami