E2E Networks Alternative
The E2E Networks alternative
built on a proprietary stack - not OpenStack.
Purpose-built for GPU. True fractional GPU from 12.5%. Per-minute billing. Developer SDK, CLI and REST API. Zero egress. And uniquely - you can license the whole platform.
Why ML teams pick PodStack over E2E
E2E runs OpenStack - general-purpose VMs with GPU bolted on. PodStack is purpose-built for GPU sharing and scheduling.
Allocate 12.5%-100% of an A100 or H100. Stop paying for capacity you do not use.
SDK, CLI, REST API, and podstack.yaml. Push to git, deploy a Pod. No Horizon dashboard required.
License the same stack that powers PodStack and run it in your own DC. Enterprises and government only.
PodStack vs E2E Networks - feature by feature
| Feature | PodStack | E2E Networks |
|---|---|---|
| Platform stack | Proprietary, purpose-built for GPU | OpenStack-based |
| Platform license | Available - license + run in your own DC | No - managed only |
| Fractional GPU | 12.5% - 100% via PodVirt | Full GPU only |
| Developer tooling | SDK, CLI, REST API, podstack.yaml | Portal + Horizon dashboard |
| Per-minute billing | Yes | Per-hour on most plans |
| Egress fees | Zero | Plan-dependent |
| ML templates | vLLM, Unsloth, ComfyUI, PyTorch one-click | BYO image |
| Pricing | Custom - talk to sales | Public rate cards |
Pricing built around your workload
PodStack pricing is customised to your GPU mix, fraction sizes, and committed usage - with per-minute billing and zero egress fees, you only pay for what you actually use. Tell us your workload and get a quote the same day.
Migrating from E2E in under an hour
- Step 1Push your Docker image
docker tag my-llm:latest registry.podstack.ai/<org>/my-llm:latest docker push registry.podstack.ai/<org>/my-llm:latest - Step 2Sync model weights and datasets
aws s3 sync ./weights/ s3://my-bucket/weights/ \ --endpoint-url https://s3.podstack.ai - Step 3Launch a Pod
# podstack.yaml gpu: a100-80gb gpuFraction: 0.5 image: registry.podstack.ai/<org>/my-llm:latest volume: bucket: my-bucket mountPath: /workspacepodstack pod create -f podstack.yaml
Frequently asked questions
Why look for an E2E Networks alternative?+
E2E Networks is a credible cloud provider, but its GPU offering runs on an OpenStack-based stack designed for general-purpose VMs, not GPU-first workloads. Teams running serious ML want true fractional GPU (pay for 12.5% of a card), per-minute billing, a real developer SDK/CLI, and the option to license the platform itself for in-house deployment. PodStack is built ground-up around those needs.
Is PodStack built on open-source like OpenStack or Kubernetes?+
No. PodStack is a proprietary, purpose-built platform - our own control plane, scheduler, and virtualisation layer (PodVirt) designed specifically for fractional GPU sharing. We do not stitch together OpenStack, Slurm, or vanilla Kubernetes. This is why we can offer 12.5% fractional GPU allocation and sub-second scaling that OpenStack-based stacks struggle to deliver.
Can we license the PodStack platform to run our own GPU cloud?+
Yes. PodStack is sold both as a managed cloud and as a licensable platform. Enterprises and operators can license the full PodStack stack and deploy it in their own data centres. Contact sales@podstack.ai for licensing terms.
Does PodStack support fractional GPU like E2E?+
E2E offers full-GPU instances. PodStack supports true fractional GPU from 12.5% to 100% of a card via PodVirt, which means your inference workload that uses 15% of an A100 only pays for 15%. This typically cuts effective cost per hour by 3-5× for sub-utilised workloads.
How do I migrate from E2E Networks to PodStack?+
Three steps: (1) push your Docker image to PodStack's registry, (2) sync model weights and datasets to a PodStack S3-compatible bucket, (3) launch a Pod via the portal or with `podstack pod create -f podstack.yaml`. Most teams migrate in under an hour.
Does PodStack have an SLA?+
Yes. PodStack offers enterprise SLAs on Pods, VMs, and Baremetal GPU. Every PodStack GPU runs on operator-owned hardware.
What security certifications does PodStack have?+
PodStack runs on operator-owned hardware in ISO 27001 certified data centres, with DPDP compliance covered for teams that need it.
Built for GPU. Licensable for scale.
Launch your first Pod in under 60 seconds - or talk to us about licensing.
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