Charting a Practical Path to
AI Compute Adoption
Tensaro works with mid-sized organisations in Malaysia to map their readiness, plan their workloads, and build a coherent approach to accelerator infrastructure — without jargon or pressure.
Our Advisory Services
Three structured engagements, each scoped to a distinct stage of an organisation's AI compute journey.
AI Readiness Assessment
A guided review of where an organisation stands before adopting accelerator-based AI workloads. We map current data practices, compute usage, and team skills, then return a plain-language report with practical next steps.
- Readiness scorecard included
- Two workshops + written summary
- Three-week scope
GPU Workload Planning Workshop
A hands-on planning session for teams sizing their first accelerator deployment. We walk through memory needs, batch sizing, and throughput expectations across hardware options — including Nvidia H100 and A100 GPUs, AMD Instinct accelerators, and on-premise alternatives — so the team can make well-informed choices without relying on vendor sales material.
- Full-day facilitated workshop
- Capacity templates provided
- Evaluation checklist included
Compute Infrastructure Retainer
An ongoing advisory arrangement for organisations scaling AI compute across quarters. We meet regularly to review utilisation, discuss procurement timing, and document architecture decisions as a sounding board for your in-house team.
- Three-month engagement
- Shared decision log + roadmap
- Scheduled review calls
Why Organisations Work With Tensaro
We keep things straightforward — clear scope, honest assessments, and practical outputs your team can act on.
Vendor-Neutral Perspective
We have no hardware sales relationship with Nvidia, AMD, Intel, or any other accelerator manufacturer. Our recommendations follow your workload profile and budget — not a product catalogue or margin incentive.
Plain-Language Deliverables
Every engagement ends with a written output your team can share with non-technical stakeholders without translation.
Scoped, Not Open-Ended
Each engagement has defined inputs, a clear timeline, and bounded outputs so scope drift doesn't become a cost issue.
Built for Mid-Sized Teams
We pitch our work at operations and engineering leads who need substance, not advisory theatre suited to enterprise budgets.
Practical Next Steps
We do not close engagements with a list of aspirations. Outputs include ranked recommendations your team can act on within a quarter.
Confidential Engagements
Client data, architecture discussions, and procurement plans remain internal. We do not reference engagements without written permission.
Not Sure Which Service Fits Your Situation?
Send us a brief note about your organisation and where you are in the AI compute planning process. We will suggest a starting point that makes sense for your stage.
Frequently Asked Questions
Answers to questions we hear often during initial conversations.
Who is Tensaro's advisory work suited to?
Do we need existing AI or GPU experience before engaging?
How long does each engagement take?
Do you recommend specific hardware vendors?
Are the prices fixed or can they be adjusted for scope?
How is engagement information kept confidential?
Our Location
Level 28, Menara Binjai, 2 Jalan Binjai, 50450 Kuala Lumpur, Malaysia
Get in Touch
Tell us briefly about your organisation and what you are trying to work through. We will respond within two business days.
Contact Details
Level 28, Menara Binjai
2 Jalan Binjai
50450 Kuala Lumpur, Malaysia
Monday – Friday: 9:00 AM – 6:00 PM
Saturday: 9:00 AM – 1:00 PM
Sunday & Public Holidays: Closed