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E42 gets Hyperscaler-Grade Kubernetes Performance at a Fraction of the Cost

From a stalled Kubernetes rollout to a stable, scalable AI infrastructure with AceCloud.

INDUSTRY
AI Startup
LOCATION
Pune, Maharashtra, India
OVERVIEW
vCPUs with Managed Kubernetes & Block Storage for AI Compute
Key Outcomes
95%/80%

Dev and UAT migrated

Matched Hyperscalers

Better on throughput & RAM

3rd-Gen

Hardware available on-demand

Overview

E42 needed a Kubernetes-native, high-performance storage environment capable of supporting its growing multi-cloud AI infrastructure. Following a failed deployment with another provider that impacted performance and reliability, the company turned to AceCloud for a solution. AceCloud successfully designed and deployed a scalable, resilient storage architecture that optimized performance, simplified Kubernetes operations, and ensured the reliability needed to power E42’s AI-driven workloads across multiple cloud environments.

Quote Icon

Cost, Kubernetes performance, and a support team that actually shows up. This combination made us move our infrastructure to AceCloud.

-Kishor Garud, Infra Head, E42.ai

Use Case

Storage-bound AI Compute

Is heavily dependent on block storage and Kubernetes resources to support high performance compute for AI workloads

Kubernetes-native by Design

Runs every workload on managed Kubernetes, with its entire architecture built around K8s

3 Clouds, 1 Strategy

Operates multi-cloud across AWS, GCP, and now AceCloud

Challenges

Kubernetes Deployment that Didn’t Deliver

An earlier attempt to run Kubernetes workloads on a different provider surfaced persistent block storage instability and performance issues, stalling their rollout before it could scale.

Balancing Cost Efficiency with Enterprise Grade Reliability

As an AI-native, multi-cloud organization, E42 needed a provider that could match hyperscaler performance without the cost premium attached to it.

Solutions

AceCloud delivered managed Kubernetes infrastructure built for cost efficiency, performance, and reliability at AI scale.

Managed Kubernetes-as-a-Service

Performative, production-ready K8s that cleared E42’s bar after POC evaluation.

Third-Generation Hardware, On-Demand

Newer-generation hardware delivers better RAM/CPU performance without the separate enterprise agreements required on GCP.

High-Performance Block Storage

Stable, high-throughput block storage that resolved the exact reliability gaps that blocked their earlier migration attempt.

Dedicated Human Support

Hands-on support that resolved early deployment issues quickly.

Impact Highlights
E42 gained hyperscaler-grade Kubernetes performance at a fraction of the price, backed by 21 Kubernetes nodes and active backup and disaster recovery from day one.