Racko
PLATFORM

One operating model.
Every environment.

Private infrastructure. Hybrid cloud. AI-ready compute. All governed and operated as a single plane — so your team focuses on outcomes, not infrastructure.

PRIVATE / LOCAL

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Bare Metal & Dedicated Compute

For latency-sensitive, data-sovereign, or compliance-heavy workloads demanding physical control and predictable performance.

>Dedicated bare metal compute

>Physical network isolation

>On-site and co-location options

>No noisy-neighbour risk

>Full data placement control

HYBRID / MULTI-CLOUD

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Cloud-Smart Workload Placement

Elasticity, managed services, and portability across AWS, Azure, GCP, and Oracle — unified under one governance and operations layer.

>AWS, Azure, GCP, Oracle authorized

>Workload portability across providers

>Unified cost attribution

>Single control plane for all environments

>Cloud-to-private workload migration

AI INFRASTRUCTURE

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GPU Clusters & Inference Environments

From model training to inference pipelines — purpose-built AI compute with the economics and governance to move from pilot to production.

>H100 / A100 GPU cluster access

>Inference environment management

>MLOps pipeline integration

>Cost-per-token economics tracking

>Model serving and scaling

MANAGED OPS

The operational layer your team shouldn't have to own.

Every environment Racko manages comes with a full operational layer underneath it. Provisioning, monitoring, patching, incident response, and lifecycle management — handled.

PROVISIONING

Automated environment setup, configuration, and validation. New workloads deploy in hours, not months.

MONITORING

24/7 cross-environment observability. Metrics, logs, traces, and anomaly detection in one operational view.

LIFECYCLE

Patch management, capacity planning, hardware refresh cycles, and end-of-life coordination — managed continuously.

INCIDENT RESPONSE

Defined SLAs, runbooks, and expert escalation paths. Your team gets notified, not paged.

Methodology

From assessment to operational scale

01

Assess

Map workload requirements, constraints, governance needs, and current-state gaps.

02

Architect

Design the right infrastructure model - private, hybrid, or AI-ready - for each workload.

03

Deploy

Migrate and provision environments with minimal disruption and maximum control.

04

Operate

Run with full visibility, governance guardrails, and managed expert support.

05

Optimize

Continuously improve cost-performance, scale confidently, and evolve your AI readiness.

ARCHITECTURE

One governed plane. Every workload.

Racko's unified operations layer gives consistent visibility, policy enforcement, and cost attribution - whether the workload runs on private hardware, cloud, or AI compute.

View full architecture docs ->

racko - unified ops plane

ENVIRONMENTS

12

WORKLOADS

94

GOVERNANCE

98/100

NameTypeRegionStatusCost/Mo
prod-db-primaryBare Metalap-south-1Running$4,200
prod-db-replicaBare Metalap-south-1Running$4,200
inference-clusterGPU / AIus-east-1Running$8,100
staging-hybridHybrideu-west-1Scaling$1,340
dev-sandboxCloudus-east-1Stopped$0

AUTHORIZED CLOUD PARTNERS

AWSAzureGCPOracle Cloud

GET STARTED

Benchmark the cloud SKU.Design the environment. Then check Racko.

Before you finalize your next VPS, Dedicated Cloud, GPU, CloudLabs, storage, backup, or workload cloud decision, compare the market — then ask Racko for the final quote and deployment model.

No commitment. No sales deck. Just cloud.