N nexurars
AI Infrastructure
resource "nexurars" "ai_platform"

Scalable AI Infrastructure
Built for Malaysian Enterprise

From architecture design to cost-optimized deployments — we help your data science teams ship production ML workloads with confidence.

Request a Quote +60 3-2163 4728 [email protected]

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Our Services

service.ai_infrastructure
AI Infrastructure Architecture

AI Infrastructure Architecture

Design and implementation of scalable infrastructure for AI workloads, encompassing compute orchestration, model training environments, data storage strategy, and deployment pipelines. Covers cloud and hybrid architecture design, GPU/TPU resource planning, container orchestration setup, and cost optimization frameworks. Each architecture is tailored to your current scale and growth trajectory.

RM 8,600 8–14 weeks
Inquire →
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MLOps Pipeline Development

MLOps Pipeline Development

Building end-to-end machine learning operations pipelines that automate the lifecycle from data ingestion through model training, validation, deployment, and monitoring. Covers CI/CD integration for ML, experiment tracking setup, model registry configuration, and deployment automation. Emphasis on reproducibility, versioning, and team collaboration.

RM 7,000 6–10 weeks
Inquire →
service.cost_optimization
Cloud Cost Optimization

Cloud Cost Optimization for AI

A focused engagement to analyze and optimize your cloud spending on AI and ML workloads. Covers compute utilization analysis, spot/preemptible instance strategy, storage tiering, idle resource identification, and right-sizing recommendations. Deliverables include a cost optimization report with projected savings and an implementation roadmap.

RM 2,900 2–4 weeks
Inquire →

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Why Work With Us

Deep Domain Knowledge

Our engineers come from production ML backgrounds, so we understand the nuances of model serving, data drift, and infrastructure scaling that generic cloud consultants often miss.

Cloud-Agnostic Approach

We work across AWS, GCP, and Azure. Our recommendations are based on your actual workload characteristics — not vendor partnerships or reseller incentives.

Local Compliance Awareness

Based in KL, we are well-versed in Malaysian data residency considerations and PDPA requirements that impact how you architect your AI data pipelines.

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Frequently Asked Questions

What kinds of organizations typically engage nexurars?
We work with mid-size and large Malaysian enterprises that have begun investing in AI — from financial institutions running fraud detection models to manufacturing companies deploying predictive maintenance systems. Startups building ML-first products also frequently engage us to set up their initial infrastructure properly.
Do we need an existing data science team before starting?
For infrastructure architecture and MLOps pipeline projects, having at least a small data team or ML engineer on staff is helpful since they will maintain and use the systems we build. For cost optimization, no technical team is required — we handle the analysis independently and present our findings in both technical and executive-friendly formats.
Which cloud platforms do you support?
We work across Amazon Web Services, Google Cloud Platform, and Microsoft Azure. We can also support hybrid or multi-cloud configurations. Our approach is vendor-neutral — we recommend the platform and services that best match your specific workload patterns and budget constraints.
How long does a typical engagement last?
Cloud cost optimization is our shortest engagement at two to four weeks. MLOps pipeline development takes six to ten weeks, and full infrastructure architecture spans eight to fourteen weeks. Timelines vary based on the complexity of your existing setup and the scope of work agreed upon during the initial consultation.
What does the initial consultation look like?
We start with a 60-minute discovery call to understand your current infrastructure, team structure, and goals. Following that, we prepare a scoping document that outlines the recommended engagement, deliverables, timeline, and investment. There is no cost for this initial scoping phase.
How do you handle data privacy and confidentiality?
We sign NDAs before any technical review begins. All access credentials and sensitive data are handled through secure vaults and encrypted channels. We follow Malaysian PDPA guidelines and can accommodate additional compliance requirements specific to your industry.
What deliverables can we expect?
Every engagement concludes with comprehensive documentation: architecture diagrams, runbooks, configuration guides, and a knowledge transfer session with your team. For cost optimization, you receive a detailed report with line-item analysis and prioritized recommendations ranked by impact and effort.

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Ready to Strengthen Your AI Infrastructure?

Share a bit about your current setup and goals. We will get back to you within one business day to schedule a scoping call.

Request a Quote +60 3-2163 4728

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Our Location

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Get in Touch

Contact Details

address

Level 16, Menara Prestige,
No. 1 Jalan Pinang,
50450 Kuala Lumpur, Malaysia

working_hours

Monday – Friday: 9:00 AM – 6:00 PM

Saturday – Sunday: Closed

Send Us a Message

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