Research Compute Community · Kuala Lumpur
Shared Compute,
Fair Access, Real Research
Corvex brings researchers, students, and small labs together around a common table — where scheduled accelerator compute, peer documentation, and community support are available to everyone on equal terms.
What We Offer
Community Membership Options
Three ways to participate in the Corvex compute community — from individual membership through to group advisory for organisations building their own shared infrastructure.
Community Access Membership
Structured, fairly scheduled access to shared accelerator compute, along with peer support and shared documentation. Suited to students, independent researchers, and small labs.
- Quarterly membership with scheduled time blocks
- Onboarding and shared resource board
- Peer support network access
- Community documentation library
Guided Onboarding Programme
Hands-on guidance for newcomers covering environments, good practices, and respectful resource use within the community. Delivered across three sessions with a starter kit.
- Three structured sessions
- Starter kit included
- Onboarding notes and practices guide
- Supportive, hands-on format
Lab Partnership Advisory
An advisory arrangement helping groups plan scheduling, documentation, and community norms for their own shared infrastructure. Three-month engagement with review sessions.
- Three-month engagement
- Setup playbook and review notes
- Independent community design advisory
- Scheduling and documentation planning
Why Corvex
A Community Built Around Fairness
Transparent Scheduling
All compute time is allocated through an open schedule visible to every member. No hidden priority queues or opaque billing.
Shared Documentation
Members contribute to and draw from a growing knowledge base covering environments, practices, and lessons learned from real research workflows.
Peer Support Network
Researchers at different stages share knowledge freely. Whether you are new to shared compute or experienced, there is someone to ask.
Accelerator Access
Members get structured time on GPU accelerators suited to model training, data processing, and simulation workloads — without needing a large institutional budget.
Built for Early-Stage Work
Designed with students and independent researchers in mind — the pricing, onboarding, and support structure reflect the reality of early-stage research budgets.
Locally Grounded
Based in Kuala Lumpur, Corvex serves the Malaysian research community with an understanding of local academic and institutional contexts.
Infrastructure & AI
NVIDIA-powered compute for real AI research
Corvex runs NVIDIA GPU accelerators as the backbone of its shared compute infrastructure. Members get scheduled access to the same class of hardware used in professional AI research — without the cloud bill that typically comes with it. Whether you are training transformer models, running inference experiments, or processing large datasets, the hardware is matched to the workload.
AI research in Malaysia has grown considerably in scope over the past few years, but access to the compute it requires has not kept pace — particularly for independent researchers, postgraduates, and small teams. Corvex exists to close that gap: fair, scheduled time on NVIDIA hardware, supported by community documentation that reflects how real AI workflows actually run in this environment.
GPU Accelerators for AI Workloads
NVIDIA hardware suited to model training, fine-tuning, inference testing, and data processing — allocated in confirmed time blocks.
Documented AI Environment Setup
Community guides cover CUDA configuration, popular ML frameworks, and environment reproducibility — written from real member experience on this infrastructure.
Peer Network of AI Researchers
Members working on NLP, computer vision, tabular data, and simulation share knowledge across disciplines — a practical advantage when your specific problem has already been encountered by someone else.
HARDWARE
NVIDIA GPU Accelerators
Shared access to GPU compute suited to deep learning, LLM work, and data processing tasks at research scale.
FRAMEWORKS
PyTorch, TensorFlow & More
Community documentation covers setup for common AI and ML frameworks on the shared environment.
SCHEDULING
Confirmed Compute Windows
Time blocks are allocated weeks in advance — plan long training runs without uncertainty about availability.
COST
RM 520 per Quarter
A fixed quarterly fee — not per-hour cloud rates. Predictable cost for AI research on a real budget.
Ready to join?
A seat at the table is open for you
Whether you are a student running your first training run, an independent researcher managing a side project, or an organisation exploring shared infrastructure — Corvex has a membership that fits where you are.
Common Questions
Frequently Asked Questions
What kind of compute does Corvex provide access to?
Members get scheduled time on GPU accelerator hardware suited to research workloads including model training, inference experiments, and data processing. The specific hardware and availability are shared transparently with all members through the resource board.
How does the scheduling work — will I get the time I need?
Scheduling is handled through a transparent queue visible to all members. Time blocks are allocated on a fair-rotation basis, and the schedule is communicated well in advance so you can plan your work accordingly. No member receives priority treatment over others.
Is the Community Access Membership suitable for a complete beginner?
The membership includes onboarding, but for those entirely new to shared infrastructure we recommend the Guided Onboarding Programme, which walks you through environments and good practices across three sessions. Many new members combine both to start on solid footing.
What is included in the Guided Onboarding Programme?
The programme consists of three sessions covering environment setup, workflow best practices, and respectful resource usage within the community. You will receive a starter kit and written notes covering each session, plus a practices guide you can reference independently.
What does the Lab Partnership Advisory involve for our organisation?
Over three months, we work alongside your team to help plan scheduling systems, documentation structures, and the community norms that make shared infrastructure run well. We act as an independent advisor — we help you think things through, not make decisions for you. The engagement concludes with a setup playbook and review notes.
How is billing handled — is it monthly or quarterly?
The Community Access Membership is offered as a quarterly arrangement at RM 520 per quarter. The Guided Onboarding Programme and Lab Partnership Advisory are one-time and fixed-term arrangements respectively. Pricing is stated clearly and there are no hidden fees. Payment is made in Malaysian Ringgit.
How do you handle member data and privacy?
Member information is handled in accordance with Malaysian data protection norms. We collect only what is needed for membership administration and communication. Member research data on shared infrastructure is not accessed or shared with other members. Full details are in our Privacy Policy.
Find Us
Our Location in Kuala Lumpur
Level 5, Bangunan KWSP, Jalan Raja Laut, 50350 Kuala Lumpur
Reach Out
Get in Touch
We are happy to answer questions about membership, onboarding, or the advisory programme. Use the form or reach us directly.
Contact Details
PHONE
+60 3-2693 7140ADDRESS
Level 5, Bangunan KWSP
Jalan Raja Laut, 50350
Kuala Lumpur, Malaysia
WORKING HOURS
Monday – Friday: 9:00 AM – 6:00 PM
Saturday: 10:00 AM – 2:00 PM
Sunday & Public Holidays: Closed