Elastic Compute
Cloud instances, bare metal, GPU and edge — bringing heterogeneous compute, network and storage into one control plane for production workloads, AI training and inference, and globally distributed services.
Talk to usOne control plane over heterogeneous compute
Cloud instances, GPU, bare metal and edge nodes share one API, console and access governance, cutting the complexity of running multiple products in parallel — use all your compute like one platform.
- Unified API and console
- Unified access & network governance
- Multi-tenant isolation & project quotas
Built for production, not a VPS
Private networking, security groups, snapshots/backups, monitoring and automated delivery — built to production standards, integrating compute into your real pipeline.
- VPC / private network / security groups
- Snapshots, backups and recovery
- Monitoring, alerts and audit
Heterogeneous scheduling, from VM to GPU and bare metal
Bring CPU, GPU, containers, Kubernetes and physical resources into one scheduling model, fitting everything from traditional workloads to AI training and inference.
- CPU / GPU pooling
- VM / K8s / Bare Metal
- For AI workloads
Minute-level delivery and predictable performance
Image templates, batch deployment and API-driven delivery cut launch time to minutes; dedicated performance with no noisy neighbours and low-latency NVMe storage keep experience stable.
- Minute-level, batch deployment
- Dedicated, no noisy neighbours
- Low-latency NVMe storage
One platform, many kinds of compute
Pick the compute form by workload, then choose a size inside the product page.
Deliver your compute in minutes
From cloud instances to GPU and bare metal, WLStack Compute carries workloads from production to AI with one platform, predictable performance and minute-level delivery.
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