AIMLVFXInfra
Cloud GPU intelligence
GPU cloud, AI compute, and VFX rendering in one control plane.
AIMLVFXInfra combines cloud-native orchestration, training dashboards, cluster health, and billing governance into a premium enterprise platform inspired by modern GPU infrastructure leaders.
Enterprise cloud primitives designed for AI-first infrastructure teams.
Every surface is tuned for compute planners, platform engineers, production ML teams, and VFX operators who need a single source of truth.
GPU Cloud Infrastructure
Burst elastic NVIDIA-class capacity with policy-driven scheduling and regional failover.
AI Compute Platform
Train, serve, and evaluate models on a unified platform with cost, latency, and reliability controls.
Kubernetes Orchestration
Spin up managed clusters, deploy workloads, and observe the fleet from a single control plane.
VFX Rendering Systems
Accelerate rendering queues, preview jobs, and delivery pipelines for studios and production teams.
GPU, ML, Kubernetes, and VFX workflows built to operate as one system.
Reusable platform capabilities are mapped to real-world infrastructure flows instead of generic SaaS abstractions.
Kubernetes-native GPU compute with autoscaling and job-aware placement.
High-throughput object and block storage tuned for AI training and asset pipelines.
Low-latency networking and traffic shaping for distributed training and render farms.
Platform health, upgrades, compliance, and operational support with SRE-grade visibility.
Metrics, traces, audits, and alerts for every cluster, job, and deployment.
An automation surface for provisioning, billing, quotas, keys, and orchestration workflows.
Monitor every GPU, queue, and deployment with enterprise-grade visibility.
Cluster utilization, cost burn, and reliability signals are surfaced in one place for operators and finance teams.
Compute visibility
GPU utilization, CPU load, memory pressure, and queue latency with alerting support.
Role-based governance
Admin and user experiences are segmented with route protection, JWT sessions, and audit logs.
Transparent plans for teams scaling AI infrastructure.
Stripe-ready subscription billing with upgrade paths, billing portal support, and invoice history.
Starter
Basic GPU compute for early AI and rendering workloads.
- 1 GPU instance
- Basic monitoring
- Email support
- Team seats: 1
Professional
Most popularAdvanced AI infrastructure for growing teams and production deployments.
- 5 GPU instances
- Kubernetes support
- Team collaboration
- API access
Enterprise
Unlimited scaling with dedicated GPU clusters and custom integrations.
- Dedicated clusters
- Priority infrastructure
- VFX rendering support
- Custom integrations
Built for infrastructure teams that need clarity, control, and scale.
The platform is designed to read like an executive dashboard and operate like an engineering console.
Practical answers for teams evaluating AI infrastructure.
Common questions about auth, billing, deployment, and platform control.
Does the platform support both AI training and rendering?
Yes. The control plane covers AI training, inference, Kubernetes workloads, and VFX render orchestration from the same dashboard.
Is Stripe billing included?
Yes. The platform includes checkout sessions, subscription management, billing portal access, webhook handling, and invoice tracking.
Can I restrict access by role?
Yes. Users, admins, audit logs, and protected middleware are built in, with session-based JWT auth and RBAC.
Can I deploy this on Vercel or Docker?
Yes. The project includes Vercel-ready Next.js app router code, a Dockerfile, docker-compose, nginx, and PM2 assets.