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Deployment Options

Deploy where it fits your infrastructure — cloud-managed or on-premise. Vionlabs adapts to your security requirements without compromising performance.
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Flexible Deployment Architecture

The Vionlabs platform is built on a modular architecture, designed to support different deployment models depending on customer requirements, infrastructure, and security constraints. The system is divided into two main subsystems:

Core Platform

The Core Platform is typically operated in a centralized cloud environment and includes:

API Layer

Handles content ingestion, processing orchestration, and result retrieval

ML Inference Layer

Executes all machine learning models for content understanding and analysis

Application Layer

Provides user-facing capabilities, workflows, and integrations into customer systems.
The Core is cloud-native and designed for scalability, high availability, and seamless integration into existing ecosystems.

Content Pre-Processing

The Content Pre-Processing subsystem is responsible for extracting features from original video files. These features are then used by downstream machine learning models within the Core.
This layer is where deployment flexibility is most critical, as it directly interacts with high-resolution source content.

On-Prem / Edge Processing

Deployment Model
For customers with strict security, compliance, or data residency requirements, Vionlabs supports on-premise or edge deployments. In this setup:
Original video files never leave 
the customer’s environment
Only derived data (features, embeddings, metadata) is transferred to the Core Platform
Feature extraction 
happens locally

Supported Deployment Types

VM-Based Deployment

Lightweight setup using virtual machines

Kubernetes-Based Deployment

Scalable, containerized deployment for larger environments

Supported Environments

Google Cloud Platform
AWS

Key Capabilities:

GPU Acceleration

Optimized for high-performance video processing

Autoscaling

Dynamically adjusts processing capacity based on workload

Automatic Model Updates

Seamless rollout of new and improved ML models

Infrastructure as Code (Terraform)

Vionlabs provides a comprehensive set of Terraform modules to simplify and standardize deployment in customer environments

Cloud-Based Edge Processing

On Cloud
For customers with strict security, compliance, or data residency requirements, Vionlabs supports on-premise or edge deployments. In this setup:
A logically isolated processing environment is provisioned per customer
Vionlabs manages infrastructure, 
scaling, and updates
Customers benefit from faster onboarding
and reduced operational overhead

Key Characteristics:

Dedicated, isolated processing environments per customer
Fully managed infrastructure
Seamless on demand scaling
Simplified integration with the Core Platform
Explore how Vionlabs transforms media
Book a demo to see Vionlabs’ AI in action - rich metadata, engaging artwork, and automation at scale that increase efficiency - so your team can focus on what matters.
In the 30-minute call, we will:
Understand your current goals and objectives
Discover how Vionlabs can increase engagement and efficiency
See Vionlabs in action
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