Push compute and service capabilities closer to users
WLStack Edge addresses low-latency, distributed and regional workloads by moving compute, cache and access capabilities closer to users and devices. It offers edge containers, edge bare metal and K8s@Edge, suited to media distribution, real-time interaction, edge inference, IoT access and regional processing — coordinated with the central cloud for unified management, tiered processing and data collaboration.
Key advantages
Smart scheduling, lower cost
A self-developed scheduling platform plus nearby resource reuse fuses backbone, aggregation and edge scheduling to cut service, content-delivery and central compute cost while preserving experience.
- Nearby resource reuse
- Lower origin bandwidth
- Intelligent scheduling
- Predictable cost
Nearby access, lower latency
Widely distributed edge nodes cover multiple regions and major carriers; data is collected and processed locally to shorten transmission distance and reduce jitter.
- Near-user deployment
- Local collection & processing
- Faster first response
- Less access jitter
Heterogeneous, peak performance
Edge nodes use X86, ARM and NV/AMD GPU heterogeneous resources and can provide bare metal directly, meeting high-IO and compute-heavy performance demands.
- X86 / ARM / GPU mix
- Direct bare metal
- High-IO, compute-heavy
- Peak device performance
Reliable, edge-cloud coordinated
Node-level monitoring, alerts and system-level support, with edge nodes and the central cloud working as one to keep edge workloads continuous and available.
- Node monitoring & alerts
- >99.9% availability
- Unified control plane
- Fast fault handling
Platform capabilities & product forms
Lightweight HCI, standardized edge nodes
A software-defined lightweight hyper-converged platform consolidates compute, storage and network into standardized edge nodes, pooling hardware via virtualization to run distributed services on low-power devices.
- Dynamic allocation of CPU/memory/storage
- Unified CPU/GPU/ARM heterogeneous management
- Edge persistence: power-loss protection & local cache
- Container-native: K8s and Docker
Layer 4–7 global smart scheduling engine
A global scheduling engine using federated and reinforcement learning analyzes network topology, node load and QoS metrics in real time for intelligent task orchestration across edge clusters.
- Multi-dim sensing: latency probe (≤10ms), health scoring
- Elastic scaling on traffic peaks
- Self-healing: fast service migration
- Path planning: BGP L4 routing + L7 scheduling
Connecting core, aggregation and edge access
Backbone transport connects the BGP Anycast core, IDC aggregation and edge access networks via a programmable data plane, able to integrate 5G smart networks and cover campus and metro networks.
- Efficient transport: QUIC/HTTP3 and TCP acceleration
- Protocol decoupling: IP/Non-IP passthrough (MQTT, CoAP)
- Zero-config mesh with zero-trust auth
- Slice isolation: hard-pipe bandwidth (min 1Mbps)
Edge container, edge bare metal and edge-cloud
K8s@Edge edge containers, dedicated-resource edge bare metal, and edge-cloud coordination with central-cloud governance — combined to fit your needs for performance, isolation and elasticity.
- K8s@Edge edge containers
- High-performance edge bare metal
- Edge-cloud coordination & backhaul
- Second-level deploy & elastic scaling
Edge-oriented monitoring, alerts and support
Full observability of node state, traffic and jobs, backed by 24/7 technical support and a visual alerting platform for stable operation.
- Node monitoring
- Real-time alerts
- 24/7 support
- Fault handling
Edge scenarios that fit your business
VOD and download distribution
For video-on-demand, game downloads and updates, phone OTA and app downloads, large-capacity caches on widely distributed aggregation edge nodes raise hit rate and throughput while cutting cost.
- Large edge caches
- Higher download hit rate
- High-throughput delivery
- Lower origin cost
Audio & video processing
Deploying transcoding, distribution and processing at edge nodes lowers latency and saves central bandwidth via nearby transcoding, with capabilities like beautification, filters and content moderation.
- Nearby transcoding
- Lower network latency
- Save central bandwidth
- Moderation / enhancement
E-commerce & interactive media
Software-defined real-time transport builds a high-quality, cross-carrier, fully covered network for video conferencing, online education and interactive live streaming — smooth low-latency interaction and viewing.
- Real-time transport
- Cross-carrier coverage
- Low-latency interaction
- Smooth HD experience
Digital-intelligence apps & AI
Near data and application sources, edge nodes provide traditional compute and large-model appliances plus speech, text and image algorithm APIs — cutting transfer cost, improving responsiveness and keeping data within-city and within-domain.
- Compute near data source
- Large-model appliances
- Algorithm APIs
- Local data compliance
Images & pre-installed apps
A range of OS images and one-click pre-installed applications, ready on boot.
