Parallel programming learning environment

#include <cuda_runtime.h> // Start learning today

GPU Programming Education
for Developers in Malaysia

Vantyr delivers structured learning resources covering CUDA parallel programming — from foundational concepts to applied lab work and organisation-wide enablement programmes.

View Our Programmes Explore Tracks

+60 7-359 6248

[email protected]

Johor Bahru, Malaysia

Learning Tracks & Programmes

Three structured pathways — each designed to fit a different stage of developer readiness and organisational need.

Parallel Basics Track

A self-paced learning track introducing parallel programming concepts for AI workloads in approachable steps. Aimed at developers beginning with GPU programming.

Multi-module learning structure
Code examples and chapter exercises
No prior GPU experience needed
Self-paced, no fixed schedule

RM 470 Enquire Now

Applied Programming Course

A guided multi-week course with hands-on labs that build practical familiarity writing and reasoning about parallel code. Suited to developers ready for applied practice.

Lab guides and sample projects
Discussion prompts for deeper review
Multi-week structured pacing
Practical GPU kernel writing focus

RM 2,250 Enquire Now

Team Enablement Programme

A tailored enablement programme delivered to an organisation's developers, focused on their goals around parallel programming literacy. Suited to engineering teams.

Planning, delivery, and reference handbook
Custom multi-session engagement
Tailored to team's existing stack
On-site or remote delivery available

RM 4,700 Enquire Now

Why Developers Choose Vantyr

Our materials are built for engineers who want a clear, systematic approach to GPU programming — not surface-level overviews.

Textbook-Style Clarity

Each topic is presented with side-by-side code and explanation panels — so you understand not just what the code does, but how it maps to the underlying GPU model.

Real CUDA Code, Not Pseudocode

All examples use working CUDA C++ code with syntax highlighting. You read and write what actually compiles — no hand-wavy approximations.

Structured Chapter Progression

Topics build in a deliberate sequence — memory hierarchy before kernel optimisation, thread models before warp-level reasoning. No prerequisites glossed over.

Lab-Driven Applied Learning

The Applied Course and Team Programme include exercises designed around realistic workloads. You leave with patterns you can carry into your own projects.

Team-Ready Delivery

The enablement programme adapts to your organisation's stack and schedule. Includes a reference handbook your team keeps after the sessions conclude.

Based in Johor Bahru

Vantyr operates locally in southern Malaysia, making in-person sessions and follow-up discussions straightforward for teams in Johor and the broader region.

      // Ready to write your first kernel?

      cudaDeviceProp prop; cudaGetDeviceProperties(&prop, 0);

Ready to Build Parallel Programming Skills?

Whether you're starting from scratch or looking to bring your whole team up to speed, Vantyr has a structured pathway that fits. Reach out and we'll help you find the right fit.

Get Started View All Solutions

+60 7-359 6248 [email protected]

Common Questions

Things developers and teams typically ask before getting started.

Do I need prior GPU programming experience to join the Parallel Basics Track?

No prior GPU or CUDA experience is expected. The Parallel Basics Track is built for developers with a solid grounding in C or C++ who are new to GPU programming. The material starts from the thread and memory model, not from assumed prior knowledge.

How is the Applied Programming Course different from the Basics Track?

The Basics Track is self-paced and introduces core concepts through reading, examples, and exercises. The Applied Course is a structured multi-week engagement with guided labs, sample projects, and discussion. It assumes familiarity with CUDA fundamentals and focuses on building practical coding patterns.

What hardware or software setup is needed?

For the Basics Track, most exercises can be reviewed and understood without local GPU hardware, though having access to an NVIDIA GPU (or a cloud instance) lets you run the code directly. The Applied Course and Team Programme involve hands-on labs, and we'll discuss hardware requirements during the onboarding process.

How long does the Team Enablement Programme typically run?

The scope is customised per organisation. A typical engagement spans multiple sessions across two to four weeks, depending on team size and goals. We start with a planning conversation to understand your team's current familiarity and what outcomes you'd like to reach.

Can the Team Programme be delivered remotely?

Yes. Both in-person (Johor Bahru and nearby areas) and remote delivery are available. For remote sessions, we use shared code environments so participants can follow along and work through labs without needing to be co-located.

What does the pricing include — are there any additional fees?

The listed prices cover all learning materials for the track or course. The Team Programme price covers planning, delivery sessions, and the reference handbook. Any optional add-ons or extended scope would be discussed and agreed separately before engagement begins.

Find Us

Jalan Molek 1/29, 81100 Johor Bahru, Johor

Get in Touch

Tell us about your situation and we'll suggest the most suitable track or programme for your goals.

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