01
Donate hardware
Give it one more job: teaching.Bring us the details of usable technology leaving your organisation. We assess equipment for educational reuse, refurbishment, local computing and experimentation.
Discuss a hardware donationHardware for Education · Open Leer Foundation
Before you
recycle it,
let it teach.
Yesterday’s enterprise hardware. Tomorrow’s classroom. Help us put usable technology to work for learners, teachers and communities through Pebble.
Pilot enquiries open · Learning Node architecture in development
EducationLocal AIUseful hardwareAfrican languagesCommunity learning
01 — The realisation
Great questions.
Modest hardware.
We ran modern generative AI on a Windows machine with an RTX 4050, 6GB of VRAM and 64GB of system memory.
Our local LTX 2.3 and LTX 2.5 video-generation experiments performed far better than expected. That experience sharpened our focus: match useful AI workloads to accessible hardware, and test what that makes possible for education.
A first-hand experiment reported by the founder. These specifications describe that setup, not a benchmark, a minimum requirement or a guarantee for other workloads.
The setup that started a bigger questionRTX 4050
6GBGPU memory
64GBSystem memory
How much technology sitting in corporate storage still has something to teach?
Windows · local generative AI · LTX 2.3 / 2.502 — Three ways to take part
Different contributions.
One public purpose.
For organisations refreshing device fleets, sponsors supporting education and technology teams ready to contribute.
02
Sponsor a Learning Node
Support a whole learning environment.Help shape a self-contained local education deployment: compute, storage, connectivity, learning resources and support designed around a school or community.
Sponsor a Learning Node03
Become a technology partner
Put your expertise to public use.Contribute hardware, engineering, model access, connectivity, cloud credits, research, funding, refurbishment or logistics to the education mission.
Become a technology partner03 — A different hardware lifecycle
A refresh cycle.
A new learning cycle.
Purchased. Used. Refreshed. The next step deserves a deliberate choice. Suitable equipment can take a route through assessment and preparation toward educational use.
One more job: teaching
01 / 06
Identify
From a retired asset to a useful learning resource.
Proposed pilot workflow. Responsibilities, data requirements, logistics and reporting are agreed with each participating organisation.
04 — Pebble Learning Node · Concept
Put learning where
the internet isn’t.
Our vision is frontier-level education in the learner’s language—even where connectivity is expensive, intermittent or unavailable. The Learning Node brings that mission into an infrastructure design.
Internet · optional synchronisation
Pebble Learning NodeConcept architectureTeachersLearnersShared devices
Explore the architecture
Local AI
Compute matched to the learning workload. We assess memory, power, model size and performance rather than assume every retired device can run every model.
Select a layer to explore it. The diagram describes the infrastructure we are working toward; it is not a live deployment.
Test appropriate models against the capacity and power demands of the available hardware.
Keep useful educational and language resources close to teachers and learners.
Design for shared devices and local networks in schools, libraries and community spaces.
Use connectivity for updates when it is available, with offline access as an engineering goal.
05 — Suitable technology
Bring the hardware.
Let’s find its purpose.
A machine does not need to run a large AI model to play a useful role in education.
Learner access, teacher preparation, content creation, local storage and networking all matter. We assess the whole learning environment, including reliability, support and running costs.
Discuss your available assetsComputers & workstations
Laptops, desktops, developer workstations, MacBooks, Mac minis, Mac Studios and other Apple Silicon devices.
Compute & storage
NVIDIA and AMD GPUs, servers, memory and usable storage equipment for assessment and experimentation.
Networks & power
Wi-Fi equipment, switches, networking infrastructure and serviceable UPS systems.
Learning peripherals
Monitors, keyboards, mice and webcams that support practical teaching and shared learning.
06 — Responsible handover
Your data needs
a clear boundary.
Agree the data requirements before equipment changes hands. Complete the required process before it teaches.
What about our data?
Each participating organisation agrees its data handling, sanitisation responsibilities and verification requirements with us. Equipment must complete that process before redeployment.
Use the enquiry to describe your requirements. Do not send confidential files, credentials or personal records with your initial message.
We do not claim sanitisation certification, destruction certificates or compliance accreditation. Those requirements must be addressed explicitly in the agreed handover.
07 — Account for the journey
See the purpose
beyond the handover.
We want partners to understand what happens to their technology. Asset outcomes, deployment records and agreed educational measures belong in that conversation.
Pebble Impact
Illustrative data · Not actual resultsExample partner impact report
48Devices redeployed
186Learners reached
1,420Learning sessions
312hAI-assisted learning
3Communities supported
Example languages
English · Afrikaans · Setswana
Reporting design
Asset journey · agreed measures · documented outcomes
Every number and language entry in this preview is demonstration data. This is a proposed reporting interface, not a live portal or a statement of deployment, language support or impact.
08 — Circular technology
More useful life.
More useful learning.
Educational reuse gives suitable technology another job before disposal.
Our assessment considers repairability, energy demands and long-term support. We focus on useful service life and documented outcomes. Carbon or waste savings require a stated methodology; we publish no invented environmental totals.
09 — Practical questions
Start with the details.
What can we donate?
Usable computers, compute hardware, storage, networking equipment and learning peripherals. Suitability depends on condition, compatibility, power needs and educational use. This initiative is for reuse and experimentation, not arbitrary electronic waste.
Can you collect equipment?
Start with the location, quantity and condition of your assets. Transfer, collection and logistics are agreed individually for each pilot; there is no automatic collection booking.
What does a Learning Node cost?
There is no fixed package or published price. We scope the learning setting, equipment, support and connectivity requirements with prospective sponsors.
Is the Learning Node available as a finished product?
The Learning Node is a concept and engineering direction. The enquiry pathway is open for pilot discussions; the diagram does not represent a production-ready deployment.
Does every donated device run AI?
No. We match equipment to suitable roles: learner access, teacher tools, networking, storage, content creation or local inference experiments. Workload testing determines its role.
What about our data?
Data handling and sanitisation requirements are agreed with the donating organisation before redeployment. Equipment must complete the agreed process. We make no claim of certified destruction, certification or accreditation.
10 — Let’s put it to work
Bring your technology.
Bring your expertise.
Tell us what you can contribute and where you want to make a difference. We begin with a practical pilot conversation.
Donate hardware
Send an enquiry directly to the Foundation. Fields marked * are required.