The E2E Networks alternative built for GPU workloads.
This compares Podstack Cloud’s QuickPods with E2E Networks’ GPU instances: a share of a GPU scheduled through PodVirt and billed per minute, instead of a whole GPU on a general-purpose OpenStack-based portal.
Why teams move from E2E Networks
General-purpose stack, not GPU-first
E2E runs an OpenStack-based portal built for general-purpose virtual machines. Podstack OS schedules fractional GPUs through PodVirt, built specifically for GPU sharing.
Whole-GPU billing
E2E GPU instances are billed as a whole card. QuickPods start at 12.5% of a GPU and bill per minute.
Portal-only tooling
E2E is driven through its dashboard. QuickPods add a CLI, a Python SDK and a REST API, so a pod fits into a script or a pipeline.
Egress fees
E2E egress is plan-dependent. Podstack object storage has no ingress, egress or request fees.
Podstack vs E2E Networks, feature by feature
| Feature | Podstack | E2E Networks |
|---|---|---|
| Fractional GPU | 12.5% to 100% via PodVirt | Whole GPU only |
| Provisioning stack | Podstack OS with PodVirt scheduling | OpenStack-based portal |
| Developer tooling | CLI, Python SDK, REST API | Portal and dashboard |
| Billing granularity | Per GPU-minute | Per hour on most plans |
| Egress fees | None | Plan-dependent |
| ML templates | One-click for fine-tuning, vLLM, ComfyUI and Jupyter | Bring your own image |
| Reliability terms | Flow into the operator agreement; more than one operator per region | Plan-dependent terms |
| Pricing | Quoted per team; billed per GPU-minute | Public rate cards |
Moving from E2E Networks
The same three steps work for every Podstack Cloud product.
Bring your image or template
Use Podstack templates for vLLM, Unsloth, ComfyUI and PyTorch, or point a pod at your own container image.
Move data into object storage
Sync weights and datasets into an S3-compatible bucket in the same region as your GPUs. There is no egress fee when a pod or endpoint reads them.
podstack files upload data.jsonlLaunch and pick a share
Choose the GPU family and how much of it you need, from 12.5% to the whole card, and you are billed per minute from there.
podstack gpu launchQuestions, answered.
Why look for an E2E Networks alternative?
E2E Networks runs an OpenStack-based portal built for general-purpose virtual machines. QuickPods are one-click AI stacks on fractional GPUs scheduled by PodVirt, with a CLI, SDK and API alongside the console.
Is Podstack cheaper than E2E Networks?
Podstack pricing is quoted per team, billed per GPU-minute, with no egress fees, rather than compared against a public rate card.
Can I run vLLM and ComfyUI on Podstack?
Yes. QuickPods ship one-click templates for fine-tuning, vLLM serving, ComfyUI and Jupyter, and you can bring your own container image instead.
How do I migrate from E2E Networks to Podstack?
Bring your image or template, move your data into object storage, then launch and pick a share. The same three steps apply across every Podstack Cloud product.
Does Podstack have an SLA?
Uptime and response terms flow into the operator agreement behind them, and every region has more than one operator.
Is my data safe on Podstack?
Podstack is an ISO 27001 certified platform and operations, with per-tenant isolation via PodVirt and region pinning including India.
Built for GPU, not bolted on.
QuickPods launch on a fractional GPU in seconds, scheduled by PodVirt instead of a general-purpose portal.