OpenFPGA provides a unified, OpenAI-compatible API endpoint that lets developers swap GPU inference for cloud FPGA inference with a single line of code. The platform abstracts hardware routing, bitstream loading, and scaling, delivering deterministic low-latency inference with significantly lower power consumption than GPUs. It includes features like bitstream hot-swapping for zero-downtime configuration updates and auto-failover for resilient, always-on operation.
Funding
Funding not disclosed
Founders
Product
Problem
GPU-based inference introduces variable latency, high power consumption, and cold-start delays, making it difficult for applications that require predictable performance and cost efficiency. Developers are locked into GPU infrastructure that is expensive to scale and less environmentally sustainable, while alternative hardware options require complex, low-level programming expertise.
Solution
OpenFPGA offers a unified, OpenAI-compatible API endpoint that enables developers to run inference on cloud FPGAs by changing just one line of code. The platform fully abstracts hardware routing, bitstream loading, and scaling, so users receive tokens back quickly without managing the underlying silicon. It delivers deterministic, ultra-low-latency inference with no cold starts or queueing, while consuming significantly less power than GPU-based systems. The service includes resilient features such as auto-failover, bitstream hot-swapping for zero-downtime configuration updates, and geographic distribution to ensure continuous availability.
Target Audience
Primary customers are software developers and AI teams currently using GPU-based inference APIs who need lower power consumption, deterministic latency, and cost-effective scaling for production workloads.
Features
- Single OpenAI-compatible API endpoint supporting drop-in replacement for Together AI, Fireworks, or any OpenAI SDK
- Deterministic low-latency inference with no cold starts or queueing
- Bitstream hot-swapping for deploying new FPGA configurations with zero downtime
- Auto-failover and geographic distribution for high availability
- Custom logic support enabling tailored hardware acceleration
- Fully abstracted hardware routing, bitstream loading, and scaling management