Cloud Servers: Compute in Minutes — Now with Cloud GPU
Sometimes you don't need a whole private cloud or a managed Kubernetes platform — you just need a server, right now. That is exactly what WECORE Cloud Servers deliver: hourly-billed virtual machines on NVMe-backed infrastructure, with full root access, provisioned in under two minutes. Pick a size, choose an image, hit launch, and pay only for what runs.
What is a Cloud Server?
A Cloud Server is a virtual machine running on WECORE's shared, NVMe-backed compute. Every instance comes with dedicated vCPU, RAM, and local NVMe storage, a public IPv4 and IPv6, and full root from first boot. There is no provisioning queue and no ticket to file — you self-serve from the panel or the API and you are running in minutes.
Compute comes in three families, so you size to the shape of the workload rather than overpaying for a one-size-fits-all box:
- General Purpose — a balanced mix of vCPU and RAM for web servers, APIs, small databases, and dev/staging. The default when you're not sure.
- CPU-Optimized — dedicated cores under sustained load for transcoding, batch jobs, CI runners, and high-traffic front ends.
- Memory-Optimized — more RAM per core for in-memory caches, large databases, and real-time analytics.
Need acceleration? Launch a Cloud GPU server.
When a workload needs more than CPU — model inference, training, rendering, or scientific acceleration — you don't have to leave the Cloud Server module. Cloud GPU servers launch the same way you launch any other instance, with enterprise accelerators attached:
- NVIDIA A10 — efficient acceleration for visualization, smaller models, and ML experimentation.
- NVIDIA L40S — a strong middle tier for inference and mixed graphics-plus-compute workloads.
- NVIDIA A100 — high-throughput training and large-model inference, with multi-GPU instances for long-context and batch jobs.
Same hourly billing, same NVMe storage, same root access — just with a GPU behind it. Spin one up for an afternoon of experiments, or reserve dedicated cards for steady production inference.
Why teams choose Cloud Servers
- Pay only for what runs. Billed by the hour and capped to a clean monthly maximum, so a server left running all month never costs more than its monthly price.
- NVMe everywhere. Local NVMe on every flavor — consistent, low-latency disk with no noisy-neighbor IOPS throttling.
- Ready in minutes. Boot a clean distribution, a one-click app, or your own custom image, and receive your IP and root credentials in under two minutes.
- Root access, your stack. Full control from first boot — install, recompile, and tune anything, no approvals.
"You shouldn't have to choose between speed and control. Cloud Servers give you both — a real machine with full root in two minutes, and a GPU when the job calls for one."
Whether you're hosting a web app, running a database, bursting a CI pipeline, or serving an AI model on a GPU, your next server is minutes away. New accounts start with launch credit — pick a family, choose a size, and launch.