AI innovation doesn’t slow down in production but infrastructure often does.
As agents move from demos to real users, the challenges shift from building intelligence to running it reliably at scale. Concurrency spikes, cold starts, regional latency, uptime guarantees , these aren’t model problems. They’re infrastructure problems.

At VideoSDK, we believe AI teams shouldn’t have to become infrastructure teams to ship production systems.

Today, we’re introducing Cloud Deployments - a purpose-built infrastructure layer for running AI Voice agents in the real world. Designed for scale, reliability, and operational visibility, Deployments handle the complexity of provisioning, scaling, and maintaining runtime environments so your agents can perform consistently under real traffic through agent runtime dashboard and CLI.

From startup MVPs to enterprise-grade workloads, this is the foundation that lets AI products move to production - without operational overhead.

Who This Is For

Deployments are built for teams shipping real AI products:

  • Voice AI builders running real-time conversations
  • AI startups moving from demo → production
  • Infra & platform teams managing scale and reliability
  • Enterprises deploying mission-critical automation

From Local Agent to Production Endpoint

With Deployments, you can:

  • Launch agents in dedicated compute environments
  • Scale automatically based on active sessions
  • Choose performance tiers based on workload
  • Run globally with regional isolation
  • Maintain predictable performance under load
Video SDK Image

Deploy in Minutes - Dashboard or CLI

Deployments support both visual and developer-first workflows.

1) Deploy from the Dashboard (Fastest Path)

The dashboard provides a guided experience where configuration, provisioning, and launch are handled automatically if building agents from runtime dashboard.

Video SDK Image

After selecting CPU Profile options and region, your agent is deployed to a managed environment no manual setup required.

Compute Plans Made Simple

We designed compute options to be intuitive not cloud-jargon heavy.

  • Agent Session CPU-Small (0.5 Cores, 1 GB)
  • Agent Session CPU-Medium (1 Core, 2 GB)
  • Agent Session CPU-Large (2 Cores, 3 GB)
  • Agent Reserved CPU-Small (0.5 Cores, 1 GB)
  • Agent Reserved CPU-Medium (1 Core, 2 GB)
  • Agent Reserved CPU-Large (2 Cores, 3 GB)
  • Agent Observability - Currently free

2) Deploy via CLI (Automation-Friendly)

For teams integrating deployments into CI/CD pipelines or developer workflows, the CLI offers full control. Deployments can be launched with a few commands to configure and start the runtime environment.

Video SDK Image

Deployment Observability & Control

Monitor and manage your Agent Deployment end-to-end from the dashboard ,view active and historical sessions, track deployed versions, securely configure environment secrets, and inspect real-time logs and errors to debug issues, audit behavior, and ensure reliable production performance.

Video SDK Image

Enterprise Onboarding at Scale

Financial institutions and large enterprises often handle hundreds of customer onboarding interactions every day many of them time-sensitive and compliance-critical.

Imagine an organization like ICICI Prudential running 100+ AI-powered onboarding calls daily . Traffic fluctuates throughout the day. Peak hours demand higher concurrency. Latency must stay low. Uptime is non-negotiable.

Instead of managing servers, autoscaling groups, and regional failovers, teams focus on improving the onboarding experience.

Deployments ensure enterprise-grade reliability while keeping operations simple.

Build Smarter. Deploy Faster. Scale Without Limits.

Deployments remove the hardest part of shipping AI systems: running them reliably in the real world. What once required complex infrastructure, scaling strategies, and constant operational oversight can now be done in minutes with performance and reliability built in.

Whether you're launching your first production agent, handling thousands of conversations, or powering mission-critical workflows, Deployments give you the confidence to scale without re-architecting or managing servers.

Start small with on-demand sessions. Move to always-on capacity as you grow. Expand across regions as your users scale. The platform evolves with you from MVP to enterprise.

Your team focuses on intelligence and experience. We handle the infrastructure.

Deploy your agent, reach real users, and build the future of AI Voice without operational friction.

Resources