GPU4Good
Powering Africa’s AI research for social good
EqualyzAI’s GPU4Good is our commitment to equalising access to advanced compute power for researchers working to solve Africa’s grand challenges.
We believe Africa’s languages, cultures, and data deserve world-class infrastructure—and we’re providing access to GPUs to make that possible.
Why GPU4Good?
GPU4Good provides on-demand access to high-performance compute for projects that advance inclusive, ethical, and socially beneficial AI. From building models in low-resourced languages to developing fairer, culturally aware evaluation systems, we’re enabling the next generation of African AI breakthroughs.
Research Domains We Support
Our priorities align with EqualyzAI’s 7 Strategic Research Focus Areas, each advancing Africa-first AI innovation
Culturally-Grounded Evaluation Metrics
Building tools that understand African social context, tone, and meaning, beyond standard NLP benchmarks.
Automatic Data Quality Assessment for African Languages
Automating dataset validation and error detection to reduce manual annotation costs while improving reliability.
Pan-African Language Models
Designing multilingual, cross-lingual architectures that support 100+ African languages with efficient transfer learning.
Archiving African Language Data
Digitising and preserving historical texts, oral records, and broadcasts to protect our linguistic heritage.
Sustainable GPU Infrastructure for Africa
Pioneering energy-efficient AI training methods that reduce carbon footprint while expanding access.
Low-Cost GPU Edge Deployment
Delivering offline-first AI systems that run reliably in schools, clinics, and community hubs.
Cost–Energy Trade-offs for African AI Deployment
Developing Africa-specific benchmarks to guide low-cost, low-carbon compute strategies.
Our GPU Provisioning Principles
Prioritise Early Request
Access is allocated on a first-come, first-served basis within defined application windows and subject to available capacity.
Time-boxed Allocation
Allocations are time-boxed to maximise reach, with lightweight progress check-ins and a short outcomes report required upon completion
Social Impact Focus
We prioritise projects with clear social impact and ethical alignment.
How to Access GPU4Good
To request GPU access, kindly fill this form.
Would You Like to Access our APIs?
Integrate our language models into your own applications with ease. Whether you’re building chatbots, translation tools, or research applications, our APIs give you direct access to the intelligence behind EqualyzAI — designed for African languages, cultures, and contexts.
Ethical Pan-African Dataset Collection
View Our Datasets
Community-Led & Consent-Driven
Partner with local everyday speakers and cultural custodians, ensuring informed consent every step of the way.
Fair Benefit
Sharing
Privacy & Anonymization
Authentic & Inclusive Representation
Nuanced Small Language Models, Tailored for Peak Precision
View Our Models
Compact and Efficient
Affordable and Scalable
Adaptable for Specific Domains
Agentic AI solutions that solve everyday problems for Africa’s indigenous language speakers
View Our Products
Equalyzcrowd
Text. Audio. Image. Video. Whatever type of data you need, our Crowd platform allows for the collection and enrichment of your datasets for AI training. Engage a diverse range of contributors across any location and seamlessly manage your data needs.
uLearn
Our LLM-powered interactive learning platform allows users to generate personalized lesson notes, create flashcards, and watch learning videos in local dialects.
Nanoplanner
Finchat
LLM-enabled financial advisory and decision-making chatbot to provide financial information in local languages and ensure small business owners and low-income earners are in control of their financial wellbeing.
Recognitions
Global Grand Challenge in 2023 funded by the Gates Foundation
for our work in AI for education delivery, leveraging video diffusion and LLMs to generate curriculum-based and nuanced STEM learning videos for rural students, which are personalized based on learners’ context, spoken language, and learning progress.
