OpenIO deploys GPU‑accelerated nodes at the city edge to serve real‑time vision, voice and LLM workloads with sub‑50ms latency, 60–80% bandwidth savings, and strict data residency.
Edge‑first inference · Smart routing · Compliant backhaul
From elastic GPU edge clusters to unified inference APIs and observability, built for low latency and high efficiency.
Lightweight K8s, multi‑PoP mesh, latency‑aware scheduling.
Vision · Speech · LLM APIs with SDKs and templates.
P95/P99 latency, GPU utilization, energy and bandwidth savings.
Partner with carriers and data centers to place GPU nodes close to users.
Anycast + GeoDNS + health checks pick the nearest healthy node.
Policies keep data within region; cloud spillover for burst workloads.
Dashboards track latency, GPU utilization, energy and savings.
Pre‑packaged blueprints to move from pilot to production faster.
Multi‑stream ReID, detection and tracking with in‑store inference; large backhaul savings.
Live transcription/translation with end‑to‑end latency under 100 ms.
On‑prem inference loops for inspection and predictive maintenance.
Edge personalization and pre‑render to cut cloud costs.
| Workload | Edge latency (P95) | Cloud latency (P95) | Backhaul saved |
|---|---|---|---|
| Retail multi‑cam detection | < 45 ms | 120–180 ms | ~70% |
| Realtime speech translate | < 80 ms | 160–250 ms | ~60% |
| LLM response (short) | < 120 ms | 250–400 ms | ~40% |
Numbers are indicative; actuals depend on region, model and network.
Elastic usage with volume discounts. Private deployments available.
Base edge GPU nodes · standard API quotas · community support
$0.09 / inference‑minutePriority scheduling · multi‑PoP · enterprise observability
$0.15 / inference‑minuteDedicated edge cluster · private links · 24×7 SLA
CustomBandwidth and storage billed separately. Annual prepaid and reserved capacity discounts available.
POST https://api.openio.cloud/v1/inference/vision
Authorization: Bearer <token>
Content-Type: application/json
{"model":"yolo-v8","source":"rtsp://...","fps":15}grpc_health_v1.Health/Check
metadata: region=sgp-east, tenant=acmeWithin a metro region we target sub‑50 ms RTT from edge to client. Cross‑region traffic is routed away from the critical path.
We start with Singapore and key Southeast Asia metros, expanding based on demand and partner sites.
Yes. Enforce residency per tenant/region and restrict data egress with policy‑as‑code.
Any model packaged for ONNX/TensorRT; LLM serving via vLLM. We also provide industry templates.
Tell us about your use case and city. We will match the nearest edge PoP and schedule a PoC.
Business: [email protected]
Support: [email protected]