Three Paths Into Performance Literacy
Whether you're building fundamentals, practising in a sandbox, or aligning a whole team — each programme is structured to get you from where you are to a clearer understanding of how AI workloads use the GPU.
Back to HomeHow Every Nuvex Programme Is Structured
Observe
Before any explanation, you run the workload and look at what the profiling data shows. This grounds the subsequent concepts in something you've seen.
Reason
With the observation in hand, you work through what might explain it — using structured prompts and the reference material to build an interpretation.
Record
Conclusions go into your programme notes in a structured format — so you can refer back to them when you encounter similar conditions in your own work.
Tuning Concepts Track
A self-paced learning track explaining how performance characteristics of AI workloads are observed and reasoned about, in plain terms. Aimed at developers strengthening their fundamentals. Includes structured chapters, exercises, and reference notes.
What's covered
- How AI workloads are characterised from a hardware perspective
- Reading and interpreting profiling output
- Common performance patterns and what they indicate
- Forming hypotheses about observed behaviour
- Building a personal reference notebook
Programme steps
- 01. Enrol and access chapter materials
- 02. Work through each module at your own pace
- 03. Complete exercises and record observations
- 04. Build your reference notebook as you go
Price
RM 540
Self-paced, multi-module track
Hands-On Lab Series
A practical lab series where learners work through representative tuning exercises in a sandbox, building applied familiarity. Suited to engineers ready for practice. Includes lab guides, sample workloads, and discussion prompts.
What's covered
- Navigating the sandbox environment and its profiling tooling
- Working through guided exercises on sample workloads
- Applying the observe-reason-record methodology in practice
- Discussing observations with structured prompts
- Recognising common patterns across different workload types
Programme steps
- 01. Access sandbox environment and lab guides
- 02. Work through each lab exercise in sequence
- 03. Use discussion prompts to articulate what you observed
- 04. Retain lab guides for future reference
Price
RM 1,700
Multi-session lab series
Team Coaching Programme
A coaching programme for engineering teams who want shared performance-literacy practices, delivered through facilitated sessions tailored to their context. Suited to teams investing in skills together. Includes facilitator-led sessions and a reference handbook.
What's covered
- Shared vocabulary for discussing performance characteristics
- Facilitated exercises drawing on your team's own workload context
- Practices for carrying performance discussions into code reviews
- Tailored reference handbook for your team's context
- Post-engagement check-in option
Engagement steps
- 01. Initial scoping call to understand your team's context
- 02. Written scope agreement before the programme begins
- 03. Multi-week facilitated sessions (in-person or remote)
- 04. Reference handbook handover at programme close
Price
RM 4,600
Per engagement (team pricing, not per seat)
Which Programme Fits You?
Use this comparison to find the programme that matches your current stage and what you want to be able to do afterwards.
| Feature | Concepts Track | Lab Series | Team Coaching |
|---|---|---|---|
| Self-paced delivery | Scheduled sessions | ||
| Sandbox environment | — | ||
| Facilitator-led sessions | — | — | |
| Reference handbook | Notes | Lab guides | |
| Team vocabulary building | — | — | |
| Price (RM) | 540 | 1,700 | 4,600 |
| Best suited for | Individual developers | Practising engineers | Engineering teams |
Best for
Concepts Track
You're new to GPU performance thinking and want a structured foundation.
Best for
Lab Series
You understand the concepts but want to build hands-on familiarity in a controlled environment.
Best for
Team Coaching
Your team needs shared practices and vocabulary for discussing performance together.
Shared Standards Across All Programmes
Data Privacy
Learner information is handled in accordance with PDPA 2010. No data is shared with third parties for commercial purposes.
Defined Scope
Every programme has a written outline shared before enrolment. You know what is and is not covered before you commit.
Content Currency
Materials are reviewed when hardware or tooling shifts significantly affect how the concepts apply in practice.
Exercise Validation
Lab exercises are tested against the sandbox before each cohort. Expected observations are confirmed to still hold.
Feedback Integration
Structured feedback is collected after each programme. Issues flagged by learners are addressed in subsequent versions.
Written Agreements
For team engagements, scope and inclusions are confirmed in writing before the programme begins.
Clear Programme Pricing in RM
Tuning Concepts
RM 540
per learner
- Multi-module self-paced chapters
- Exercises with reference notes
- Keeps notebook materials
Hands-On Labs
RM 1,700
per learner
- Multi-session lab series
- Sandbox + sample workloads
- Lab guides + discussion prompts
Team Coaching
RM 4,600
per engagement (team)
- Multi-week facilitated sessions
- Tailored to team context
- Reference handbook included
Not sure which programme to start with?
Send us a short note about where you are and what you're working on — we'll point you to the right track.
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