Press release
Five Production Applications Now Route Their AI Traffic to Self-Hosted GPUs Through Wide Area Intelligence
Wide Area Intelligence routes each AI request through an edge cache, then the operator's own GPU nodes, then commercial cloud failover. Applications point an OpenAI-compatible SDK at a single endpoint.
SAN DIEGO, CA - August 6, 2026 - Wide Area Intelligence, an edge-first AI gateway, is now carrying production traffic for five live applications, routing their AI requests to self-hosted GPU hardware instead of to commercial AI providers.
Wide Area Intelligence gives an application one OpenAI-compatible endpoint and routes each request through three tiers in order: an edge cache, the operator's own hardware, and finally a commercial cloud provider if the operator's hardware cannot serve the request.
The applications now running on it are OmniCanvas, which uses it for audio transcription; ContactCenterHQ, which uses it for real-time voice conversation; SuperpowerResume, which uses it for company research; PlanetRoadmap; and Calburndown.
KEY FACTS
Product: Wide Area Intelligence (WAI), an edge-first AI gateway at https://wideareaai.com
Interface: A single OpenAI-compatible endpoint. Applications point an OpenAI SDK at the gateway.
Routing order: Edge cache, then the operator's own GPU nodes, then commercial cloud failover.
Edge cache: Identical requests are served from Cloudflare KV. A cache hit returns in roughly 300 milliseconds.
Operator hardware: GPU nodes in an office, garage, or homelab, reached over Cloudflare Tunnel. No inbound ports are opened.
Cloud failover: Commercial providers are used only when an operator node cannot serve a request, and are billed by credit.
Gateway location: The routing layer runs on Cloudflare's edge network. Inference runs on the operator's hardware.
Measured transcription throughput: A 300-second audio recording completed in 10.1 seconds on an NVIDIA GTX 1080 Ti, approximately 30x realtime. The same recording on the same machine's CPU took 324.4 seconds, approximately 0.92x realtime.
Measured streaming latency: Approximately 3.4 seconds to first content token from a local node running Qwen3VL-30B-A3B-Instruct, streaming OpenAI-format server-sent events.
Applications in production: OmniCanvas (transcription), ContactCenterHQ (voice), SuperpowerResume (company research), PlanetRoadmap, Calburndown.
WHY THE HARDWARE NUMBER IS THE ARGUMENT
The case for routing AI work to hardware you already own is usually made on privacy or on price. The harder question is whether the hardware is fast enough to be worth using.
The measurement above is the answer for one workload. An NVIDIA GTX 1080 Ti - a consumer graphics card released in 2017 - transcribed five minutes of audio in ten seconds. The marginal cost of that transcription was electricity.
The contrast within the same machine is the more useful number. On its CPU, the same five-minute recording took five and a half minutes: slower than realtime, and unusable for any workflow where someone is waiting. The gap between 30x realtime and 0.92x realtime is the difference between a feature and a progress bar, and it is entirely a question of whether a GPU is present.
WHAT ROUTING TO YOUR OWN HARDWARE DOES NOT SOLVE
A gateway in front of self-hosted hardware inherits the reliability of that hardware. A node can be busy, offline, or still loading a model into memory.
Wide Area Intelligence handles that with cloud failover, but the applications built on it do not treat failover as sufficient on its own. OmniCanvas keeps an independent path to Cloudflare Workers AI specifically so that an outage at wideareaai.com cannot take its transcription feature down. ContactCenterHQ starts a parallel request to Workers AI if the gateway has not produced a first token within four seconds, and uses whichever answers first.
That is the intended pattern rather than a workaround. An application that must always answer should keep a route it controls. A gateway that claims otherwise is overselling.
"Everybody's AI bill is a rental agreement on hardware somebody else owns," said Sean Conroy, founder of Wide Area Intelligence. "There is a nine-year-old graphics card doing five minutes of transcription in ten seconds, and the marginal cost is the electricity. The interesting part is not that self-hosting is cheaper - everyone assumes that. It is that on the workloads most apps actually run, it is not slower."
AVAILABILITY
Wide Area Intelligence is available at https://wideareaai.com. Applications integrate by pointing an OpenAI-compatible SDK at the gateway endpoint.
ABOUT WIDE AREA INTELLIGENCE
Wide Area Intelligence is an edge-first AI gateway that routes AI requests to hardware the operator owns, with commercial cloud providers used as failover. The routing layer runs on Cloudflare's edge network; inference runs on the operator's own GPU nodes, reached over Cloudflare Tunnel. Wide Area Intelligence is a product of InventiveHQ LLC. More information is available at https://wideareaai.com.
Media Contact
Company Name: InventiveHQ LLC
Contact Person: Sean Conroy
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=five-production-applications-now-route-their-ai-traffic-to-selfhosted-gpus-through-wide-area-intelligence]
Phone: (866) 903-2097
City: San Diego
State: CA
Country: United States
Website: https://wideareaai.com
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