The Platform that Makes FPGA Simple
A cloud-native platform that lets you deploy FPGA code like web code.
The Problem
FPGA has always been a promise. Incredibly fast. Incredibly efficient. But to use it?
- You need a specialist who speaks Verilog
- Six months to develop a kernel
- Manual testing, no pipeline, no CI/CD
- Nothing resembling modern development
Our Solution
A Kubernetes cluster with FPGA nodes. And on top — a complete CI/CD pipeline.
When a developer writes an FPGA kernel:
- Commit to Git
- The pipeline compiles and tests on real FPGA hardware
- Automatic deployment
In minutes. Not months. Like a web application.
What it changes
- FPGA becomes just another compute target in the cluster
- Developers don’t need to be hardware experts
- The development cycle goes from 6 months to minutes
- Teams use the same tools as for their microservices
Architecture
| Component | Technology |
|---|---|
| Orchestrator | Kubernetes (AKS) |
| FPGA | AMD Alveo U250 / U280 / V80 |
| Cloud | Microsoft Azure NP10s VMs |
| CI/CD | GitLab CI/CD |
| Storage | MinIO (S3-compatible) |
| LLM Serving | vLLM (OpenAI-compatible API) |
What we’ve proven with it
This platform is what we used to test:
- PostgreSQL — accelerated engine on FPGA. CPU outmatched.
- PostGIS — massive geospatial calculations. CPU outclassed.
- Hashcat — top-tier security performance.
- LLM Inference — faster than GPU. ¼ the energy. ⅓ the cost.
Same platform. Same pipeline. Four different domains. Consistent results.
What we’re looking for
- Partners who want to benchmark their workload on FPGA
- Investors who see the post-GPU future
- Engineers who want to build this platform with us