Know What Your AI Compute
Actually Costs in Energy
Vantsuro works with platform and facilities teams to present AI cluster energy figures plainly — and to explore steady, documented approaches to managing them.
Three Focused Engagements
Each service is built around a specific stage of an organisation's relationship with AI compute energy — from first look to long-term stewardship.
Energy Use Review
A structured review that helps your team understand the energy profile of its AI compute — figures presented plainly, with clear notes on how they were estimated. Suited to facilities and platform leads.
- One delivery session with written summary
- Energy snapshot of your current footprint
- List of factors to track going forward
Efficiency Practices Workshop
A two-session workshop exploring scheduling, consolidation, and sensible utilisation for AI workloads — grounded in your team's own data. Vendor-neutral guidance for platform engineers.
- Two workshop sessions with worksheets
- Practices checklist tailored to your setup
- Follow-up note summarising agreed actions
Energy Stewardship Advisory
A three-month advisory engagement helping your organisation build a steady, documented approach to monitoring and discussing compute energy across teams. Designed for growing clusters.
- Three-month engagement with regular reviews
- Stewardship handbook for your organisation
- Independent advisory — no vendor ties
Modern AI Clusters Are Dense, and the Energy Numbers Reflect That
The shift to GPU-dense infrastructure — anchored by NVIDIA platforms such as the H100, A100, and the newer H200 — has fundamentally changed what energy stewardship means for platform teams. A single NVIDIA H100 SXM5 has a rated TDP of 700W. A four-node DGX H100 system draws up to 10.2 kW under full load. Scale that across a production cluster and the facility figures become significant quickly.
NVIDIA's own documentation on NVLink fabrics, NVSwitch topologies, and high-bandwidth memory means the hardware is well-specified — but translate those specs into facility load, cooling demand, and monthly energy cost and you are working with a different kind of number. That translation is exactly where most platform teams need support.
Vantsuro works directly with the hardware realities of NVIDIA-based compute environments. We read the specs your team already has, cross-reference them against utilisation patterns, and present the output in terms your facilities and finance colleagues can act on.
GPU TDP Is the Starting Point, Not the End
Rated TDP figures from NVIDIA are a useful baseline, but actual facility load depends on workload mix, memory bandwidth saturation, cooling overhead, and power supply efficiency. We build estimates from what your cluster actually runs.
NVLink and NVSwitch Topologies Have Their Own Overhead
High-bandwidth interconnects in multi-GPU systems add meaningful power draw of their own. NVSwitch-based topologies in DGX SuperPOD configurations are well-documented — but the contribution to total facility load is often underestimated in early planning.
Cooling Demands Scale Non-Linearly
Dense GPU nodes push data centres toward liquid cooling solutions — rear-door heat exchangers, direct liquid cooling, and immersion options are increasingly common in Malaysia's newer facilities. Understanding which cooling regime applies directly affects your energy efficiency ratio.
Utilisation Patterns Matter More Than Nameplate Specs
A cluster running mixed inference and training jobs behaves very differently from one running sustained large-scale training. Scheduler configuration, job queuing, and idle state management all leave measurable traces in power consumption — and are addressable without hardware changes.
What Makes Our Approach Different
We share information, not conclusions. Our work is designed around clarity and respect for the team's own judgment.
Vendor-Neutral Advice
We have no commercial relationship with hardware or cloud vendors. Our guidance reflects what fits your workloads, not a sales agenda.
Documented Deliverables
Every engagement produces a written output — a summary, a checklist, or a handbook — so your team has something concrete to act on or refer back to.
Plain Figures, No Spin
Energy use numbers are presented with an explanation of how they were estimated. We distinguish clearly between measured data and reasonable approximations.
Built for Platform Teams
Content and delivery formats are shaped for the people who manage infrastructure day-to-day — not for executive audiences or generic stakeholder briefings.
Structured Timelines
Sessions and milestones are agreed up front. You know what to expect and when, so the engagement fits around your team's existing workload.
No Certification Work
We stay outside regulated environmental certification processes. Our scope is information, tooling, and operational guidance — within clear boundaries.
Ready to See Your Cluster's Energy Profile?
A short conversation is usually enough to determine which engagement makes sense for your team. There's no commitment involved in getting in touch.
Frequently Asked
Practical questions about working with Vantsuro.
What does an Energy Use Review actually produce?
The review produces a written summary document covering your cluster's energy snapshot — total estimated consumption, key contributing factors, and a list of metrics your team could track over time. The session itself is a working conversation, and the written output is delivered within a few days of the session.
How are energy figures estimated if we don't have full metering?
We work with whatever data your team has available — hardware specs, utilisation logs, PUE figures from your data centre, and published TDP values. Where direct measurement isn't available, we use documented estimation methods and note clearly which figures are measured and which are approximations.
Is the Efficiency Practices Workshop delivered in person or remotely?
Both options are available. We can run sessions at your office in the Klang Valley or via video call. The two sessions are typically scheduled a week apart so your team has time to prepare data between them. Working materials are shared digitally before each session.
What is covered in the Energy Stewardship Advisory?
Over three months, we help you build a documented process for tracking and discussing compute energy across teams — including a stewardship handbook, periodic review notes, and guidance on how to present figures internally. We act as an independent advisor and do not engage in regulated environmental certification work.
What size of cluster do these services suit?
The Energy Use Review and Workshop are well-suited to teams managing anywhere from a small on-premise GPU cluster to a mid-scale cloud deployment. The Stewardship Advisory is designed for organisations with growing infrastructure where energy use is becoming a more significant operational consideration.
How is my organisation's data handled?
We handle all shared data with care and confidentiality. Infrastructure details, utilisation figures, and any commercially sensitive information you share are used solely for the purpose of the engagement. We do not share your data with third parties, and we follow applicable data protection requirements under Malaysian law.
What are the payment terms?
Payment is in Malaysian Ringgit (RM). The Energy Use Review and Workshop are invoiced in full upon engagement confirmation. The Stewardship Advisory is invoiced in monthly instalments of RM 1,000. We accept bank transfer and provide a formal invoice for each payment.
Find Our Office
Lot 4G, Persiaran Multimedia, Technology Park Malaysia, 57000 Kuala Lumpur
Get in Touch
Describe your cluster and what you're trying to understand. We'll respond within one working day to suggest a path forward.
Contact Details
Technology Park Malaysia,
57000 Kuala Lumpur, Malaysia
Sat: 9:00 AM – 1:00 PM
Sun & Public Holidays: Closed