AI-NATIVE STARTUPS

Cloud for models, APIs, data, and inference.

Racko Cloud helps AI startups move from prototype to production without losing control of cost, compute, or reliability.

THE CHALLENGE

AI teams hit cloud friction before they hit scale.

>Hyperscaler GPU costs spike without warning

>Idle dev and demo environments leak cloud spend silently

>No cost visibility per model, API, or experiment

>Production environments lack governance and backup

RACKO CLOUD SOLUTION

NVIDIA GPU environments for model training, fine-tuning, inference APIs, and RAG workloads.

Isolated environments for model testing, prompt workflows, POCs, and customer demos.

S3-compatible storage for datasets, embeddings, model artifacts, and application logs.

Provisioning, monitoring, backup, and lifecycle management - so AI teams focus on building.

RECOMMENDED STACK

GPU Cloud - Model training, inference, RAG workloads

Dedicated Cloud - Production APIs and data pipelines

Cloud VPS - App servers, backends, dev/test environments

Private Cloud - Enterprise pilots and sensitive AI workloads

S3 Storage - Datasets, model artifacts, embeddings

Backup Storage - Model outputs and production environments

Managed Ops - Monitoring, cost governance, lifecycle

Prototype / experiment

GPU sandbox provisioned

Model trained / tested

Inference API deployed

Cost dashboard active

Production operations

OUTCOMES

Predictable dedicated GPU environments versus variable hyperscaler on-demand billing.

Pre-configured AI workspaces reduce environment setup time from hours to minutes.

Backup, governance, and managed ops built in - not added after incident.

SPECIFIC USE CASES