GPU COMPUTEFor ETHIOPIA
Access the world's top tier GPUs to run your models, designed around Ethiopian developers and teams.
WORKLOADS / 01-06
GPUs for what you're building.
Our services target the GPU-heavy work Ethiopian developers, researchers and teams struggle with and are blocked from doing.
LLM inference
Serve open-source language models for chat, code assistance and document processing. Memory capacity and batching behaviour decide which models fit and how much traffic one worker can answer.
HOW IT WORKS
From lack of GPUs to running models.
A path from workload you have in mind to a job that actually runs. You will control every level of compute requirements you have.
- 01
Define the workload
WORKLOAD PROFILEName what you are actually running: inference, fine-tuning, training, vision, image or video. The workload sets every requirement that follows.
- 02
Identify the required compute
CAPACITY MATCHMemory capacity, expected runtime and how often you need it decide which class of accelerator fits, instead of buying the largest card you can find.
- 03
Access GPU resources
ACCESS LAYERReach accelerator capacity that is not sitting in the room with you, with access and payment options designed around Ethiopian users and teams.
- 04
Run the workload
EXECUTIONRun the job, iterate on results, and stop when you are done, so occasional heavy work no longer requires permanent hardware.
WHY LOCAL
Powerful GPUs for Local access.
We are exploring simpler GPU access for Ethiopian users, including paying in Ethiopian birr, so that compute stops being the reason a project stalls.
- 01
Access beyond local hardware
Run work that does not fit your laptop, desktop or department workstation, without waiting for a new machine to arrive.
- 02
An alternative to buying hardware
Rent GPUS for the days or weeks you need it instead of buying expensive gpu you use occasionally
- 03
Less struggle reaching infrastructure
Reduced hustle to find GPU access designed for users in Ethiopia from the start
- 04
A shorter path to running it
Fewer steps between an AI project and a job that executes
EARLY ACCESS / WISHLIST
Get on the GPU wishlist.
Tell us what you're building and what compute you need. Your answers help determine which workloads and capabilities the service will give you.
EARLY ACCESS
Your workload is the roadmap.
Every application shapes what we build first. Registration takes about two minutes and tells us which workloads, memory sizes and payment paths matter most.
- NVIDIA RTX 5090
- NVIDIA H100
- NVIDIA A100
- NVIDIA RTX 4090
- NVIDIA L40S
- NVIDIA A6000