AEL Cloud Management Platform – Chanakya AI
The AEL Cloud Management Platform (CMP) gives every team on-demand access to compute, storage, and networking through a single, easy-to-use portal. Users launch the machines they need, connect them to private networks, attach storage, and make them reachable — all without raising a request.
Built entirely on AEL's own infrastructure, the platform keeps data in-house while delivering the speed and flexibility of a public cloud. A highly available control layer, GPU-class compute, and integrated MLOps tooling make it a single foundation for business applications, analytics, and AI.
Core Value Drivers
Why AEL CMP
Delivering public cloud agility with on-premises sovereignty and specialized enterprise tooling.
Faster
Infrastructure in minutes, not days. Eliminate ticket delays, multi-level approvals, and hand-offs. Teams provision, scale, and manage environments autonomously.
In-house
Data stays on AEL's own infrastructure. Keep sensitive corporate intellectual property, operational data, and regulated workloads strictly in-house while enjoying cloud flexibility.
One platform
Business apps, analytics, and AI together. From everyday application servers to large-scale model training, AEL CMP scales with your workload on a single unified foundation.
Do your teams wait days for infrastructure that should take minutes?
Do projects stall on tickets, approvals, and hand-offs before a single line of work begins? Traditional enterprise IT workflows create bottlenecks that delay innovation and frustrate technical teams.
Putting Infrastructure into the Hands of the People Who Use It
The AEL Cloud Management Platform gives every team on-demand access to compute, storage, and networking through a single, easy-to-use portal. Users launch the machines they need, connect them to private networks, attach storage, and make them reachable — all without raising a request.
Built entirely on AEL's own infrastructure, the platform keeps data in-house while delivering the speed and flexibility of a public cloud. A highly available control layer, GPU-class compute, and integrated MLOps tooling make it a single foundation for business applications, analytics, and AI.
Executive Summary
At a Glance
Key technical capabilities of the AEL Cloud Management Platform.
Self-Service Portal
Create and manage virtual machines in minutes through a clean, intuitive web interface.
Linux & Windows Workloads
Run heterogeneous Linux and Windows operating systems side by side on unified hypervisors.
Private Isolated Networks
Dedicated software-defined networks with virtual routers isolated for every organizational team.
Public IPs on Demand
Instant public-facing IP allocation attached to any machine in seconds when external reachability is required.
Persistent Storage
Reliable block storage volumes that survive restarts, rebuilds, and host re-provisioning without data loss.
Highly Available Design
Resilient control plane running across 3 independent physical servers with no single point of failure.
GPU-Class Compute
High-throughput GPU hardware acceleration tailored for data analytics and compute-heavy AI workloads.
Built-in MLOps
Integrated Kubeflow platform supporting the complete machine learning model development and serving lifecycle.
Full Datasheet Specifications
Platform Features
Comprehensive architectural capabilities designed for enterprise scale and mission-critical reliability.
Self-Service at the Core
A clean web portal puts the full platform in users' hands. Launch, stop, resize, and delete machines, view live console output, and connect directly from the browser — no client software required.
Flexible Compute for Every Workload
Run Linux and Windows machines on the same platform. A range of ready-made sizes — from small development machines to very large 64-core, 128 GB instances — covers everything from test servers to heavy analytics.
Secure, Isolated Networking
Every team gets private networks isolated from everyone else's. Virtual routers provide outbound access, and public IP addresses can be attached to any machine in seconds when it needs to be reachable.
Persistent, Flexible Storage
Create storage volumes on demand and attach them to running machines without downtime. Thin provisioning makes efficient use of capacity, and volumes can be backed up to central storage for protection.
Images and Automation
A central image catalogue provides ready-to-use operating systems. Capture any running machine as a snapshot and reuse it as a template for new deployments.
Built for Resilience
The control layer runs across three independent servers behind a single address, with clustered database and messaging services. If one server fails, the platform carries on.
MLOps with Kubeflow
An integrated machine learning environment covering the full model lifecycle, backed by GPU-class compute so teams move smoothly from experiment to production on one platform.
Easy Migration & Operations
Existing virtual machines can be moved onto the platform with a proven migration path, already used for production business applications.
Architectural Reference
Platform Specifications Matrix
Key technical specifications extracted directly from the official AEL CMP datasheet.
| Architecture Domain | Datasheet Specification | Operational Benefit |
|---|---|---|
| dns Control Layer HA | 3 independent physical servers behind a single virtual address; clustered database & messaging. | Zero single point of failure; seamless failover. |
| memory Compute Sizing | Ready-made instance sizes from small development instances up to 64-core, 128 GB RAM analytics instances. | From micro dev servers to heavy enterprise compute. |
| desktop_windows Operating Systems | Linux and Windows side by side; catalogue images or persistent disks; Legacy BIOS and modern UEFI support. | Full backwards & modern compatibility. |
| lan Networking & Security | Private isolated networks per team, software virtual routers, on-demand floating public IPs, and per-machine firewall rules. | Complete multi-tenant traffic isolation. |
| hard_drive Storage Architecture | On-demand storage volumes with zero-downtime hotplug; dynamic thin provisioning; automated central backups. | High capacity efficiency & disaster recovery. |
| psychology MLOps Stack | Integrated Kubeflow ecosystem: Jupyter notebooks, repeatable pipelines, hyperparameter tuning, autoscaling model serving, and GPU compute. | End-to-end model development to production. |
| code Management Interfaces | Browser web portal with live interactive console; Role-Based Access Control (RBAC); Command-Line Interface (CLI); REST API. | Zero client software required; fully scriptable. |
| shield Data Sovereignty | Built entirely on AEL's own infrastructure; data stays strictly in-house. | 100% compliance, zero third-party exposure. |
Abha AI Suite: Multimodal Intelligence Powered by AEL CMP
Harness specialized multimodal intelligence engines deployed directly on AEL CMP's GPU-class compute and Kubeflow MLOps pipelines.
Text Intelligence
Document understanding, summarization, search, classification, and knowledge retrieval for vast enterprise corpora and hybrid data silos.
- check Automated document extraction
- check Enterprise semantic search
Audio Intelligence
High-accuracy transcription, speech analytics, acoustic pattern recognition, and conversational workflows designed for enterprise operations.
- check Real-time speech transcription
- check Multilingual speech analytics
Video Intelligence
Visual monitoring, automated event detection, operational review, and mission-critical situational awareness powered by advanced computer vision models.
- check Automated event detection
- check Real-time video stream review
AEL-CMP-Datasheet_BEL.pdf
Download the comprehensive technical datasheet covering the AEL Cloud Management Platform's hardware specifications, control layer architecture, Kubeflow MLOps integration, and operational guidelines.
Ready to scale your enterprise cloud and AI infrastructure?
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