--- title: "Sovereign Cloud Platform | Governed AI Infrastructure | E2E Networks" description: "A governed AI platform for inference endpoints, LLM training clusters and GPU fleet operations. Provision bare metal, VMs, containers, Kubernetes and Slurm on hardware you own, with tenant data encrypted in use and every action audited. Runs on-premises, in a sovereign region, or fully air-gapped." url: "https://www.e2enetworks.com/sovereign-cloud-platform" canonical: "https://www.e2enetworks.com/sovereign-cloud-platform" provider: "E2E Networks Limited" type: "Service" keywords: ["sovereign cloud platform", "confidential computing", "gpu fleet operations", "secure multi-tenancy", "air-gapped ai infrastructure", "attestation", "kubernetes gpu cluster", "slurm cluster"] region: "India" generated: "2026-09-11" --- # Sovereign Cloud Platform | Governed AI Infrastructure | E2E Networks > A governed AI platform from E2E Networks for inference endpoints, LLM training clusters and GPU fleet operations. Provisions bare metal, VMs, containers, Kubernetes and Slurm on hardware you own, and runs on-premises, in a sovereign region, or fully air-gapped. Canonical page: https://www.e2enetworks.com/sovereign-cloud-platform Run your AI cloud on your own terms. Your teams get the training clusters and inference endpoints they ask for, running on GPUs you own and operate. Your data and your encryption keys stay with you. ## What you get - **Control your own GPU and AI stack** — Provision bare metal, VMs, containers, Kubernetes or Slurm clusters as your teams need them, all under your own governance. - **Same-day go-live** — Turn racked GPUs into services your teams can call, without a months-long build. - **Multi-tenant by design** — Many teams or customers on one fleet, with storage and network isolated per tenant. - **Encrypted even in use** — Data and model weights stay encrypted while they are being processed, not only at rest. ## At a glance - **3 deployment modes** — Including fully air-gapped - **1 operating model** — Connected or disconnected - **3 certifications** — SOC 2, ISO 27001, PCI DSS ## Data privacy and security - **Confidential Computing** — Confidential computing keeps tenant data and model weights encrypted while they are being processed, not only at rest and in transit. - **Tenant separation** — Compute, storage and network are separated per tenant under policy-governed boundaries. - **Attestation** — Cryptographic attestation is used to verify the platform state before tenant workloads start, with integrity and configuration checks available on an ongoing basis. ## Manage and operate the fleet without the manual work Provisioning, health checks, network configuration, patching and node repair all run as automated workflows rather than tickets somebody has to pick up. Your team sets the policy, the platform does the work, and every action it takes is written down. - **GPU fleet operations** — One operating model across bare metal, VMs and containers. Inventory, health, config drift and evidence reports. - **Secure multi-tenancy** — Tenants share accelerated infrastructure without sharing data, routes or trust boundaries. - **Fabric automation** — Zero-touch switch provisioning, tenant-aware Layer 3 segmentation, DPU offload and fabric telemetry. - **End-to-end observability** — GPU, host, Ethernet, InfiniBand, VM and container signals correlated in one layer. - **Break-fix automation** — Fault signals converted into controlled remediation workflows that keep bad nodes out of placement. - **Audit-ready lifecycle** — Policy-governed patching and verification, with an evidence trail for every action taken. ## Break-fix automation GPU and host fault signals become controlled remediation workflows rather than pages at 3am. Automated runbooks reduce mean time to repair and keep failing nodes out of scheduler placement. 1. **Detect** — XID · thermal · DIMM 2. **Quarantine** — cordon · taint 3. **Drain** — protect workloads 4. **Diagnose** — logs · RCA 5. **Repair** — reset · reboot · ticket ## Deploy it where your obligations require - **Private data centre** — Your owned facilities, your hardware, our operating model. - **Sovereign cloud** — Regional control with data resident in your own region. - **Air-gapped** — Fully disconnected sites. ## Frequently asked questions ### What is the Sovereign Cloud Platform? It is software for running AI workloads on infrastructure you control. Your teams get the things they need day to day: endpoints to call models, clusters to train them, and GPUs that are kept in working order. Your organisation keeps the data, the encryption keys and the record of who did what. It can run in your own data centre, in a cloud region you pick, or on machines with no internet connection at all. ### How is our data protected while it is being processed? Most systems encrypt data while it sits on disk and while it travels across the network, but have to decrypt it in memory to actually work on it. That moment is the gap. Here your data and your model weights stay encrypted in memory too, so someone with access to the physical server still cannot read them while a job is running. ### How do we know our workloads are really separated from anyone else's? Before a workload starts, the machine produces a signed report of exactly what software it is running. If that report does not match what is expected, the workload does not start, and the checking carries on while the system runs. Separately, each customer gets their own compute, storage and network paths, so one customer's traffic and data never cross into another's. ### Can the platform run without an internet connection? Yes, and it works the same way either way. Whether the site is connected or completely cut off, it is the same software and the same day-to-day routine. There is no reduced offline edition to learn separately. ### Where can it be deployed? Three options. In your own building on your own hardware, with us supplying the software and the operating practices. In a cloud region you choose, so the data physically stays in that region. Or on a site with no outside connection at all. Which one fits usually comes down to the rules you have to answer to. ### What does the platform actually manage? The GPU servers and the network joining them together. It can hand your teams whatever shape of cluster they work in, whether that is bare machines, virtual machines, containers, Kubernetes or Slurm, and manages all of them the same way so your operators learn one set of tools instead of five. It also configures the network switches for you, keeps each customer's traffic on its own paths, and collects the readings from the GPUs, the servers and both kinds of cluster networking (Ethernet and InfiniBand) into one view rather than half a dozen dashboards. ### Do we need a large operations team to run it? That is what the automation is for. Bringing nodes into service, watching their health, configuring the network, applying patches and dealing with failed hardware are all handled by the platform rather than by someone working through a runbook. Your team decides the policy and reviews what happened; the repetitive work is not theirs to do. ### What happens when a GPU or a server fails? The platform deals with it instead of waking somebody up. It notices the warning signs a failing GPU gives off, such as driver errors, overheating or faulty memory. It then stops new work being sent to that machine, moves the jobs already running on it somewhere safe, collects the logs needed to establish what went wrong, and attempts the fix: a reset, a reboot, or a ticket if the hardware has to be replaced. The machine stays out of rotation until it is healthy again. ### What will we be able to show an auditor? A written record of what the platform did and when. Each update or change is logged against the machine it touched, along with the check that confirmed it worked. Alongside that you get a current list of the hardware you have, the health of each machine, and anything whose settings have drifted away from what they are supposed to be. When someone asks what happened to a particular server on a particular day, the answer already exists instead of being pieced together afterwards. ### How is it priced, and how do we evaluate it? There is no standard price list, because no two deployments are the same size or shape. The cost depends on where it runs, how many GPUs you have and how much of the running you want us to do. The quickest way to get a number is to tell us what you are working with, and we will size it with you. ## Related pages - [MeitY empanelment and government cloud compliance](https://www.e2enetworks.com/meity) - [Security and compliance certifications](https://www.e2enetworks.com/certifications) - [TIR: build, fine-tune and deploy models](https://www.e2enetworks.com/tir) - [GPU cloud](https://www.e2enetworks.com/gpu-cloud) - [Talk to sales](https://www.e2enetworks.com/contact-sales) --- This Markdown is generated from the same data that renders https://www.e2enetworks.com/sovereign-cloud-platform. Provider: E2E Networks Limited (NSE: E2E), India. Site index for AI agents: https://www.e2enetworks.com/llms.txt