Energy efficient chips for AI
At Exa, we're building the next NVIDIA. Our novel polymorphic chips are a generation ahead of anything on the market. We're essentially building the substrate that will power all future knowledge and scientific discovery.
Our XPU chips are state-of-the-art AI compute engines capable of reconfiguring themselves to optimize the dataflow of each model (training & inference!) to be fast and efficient enough to support AGI, and eventually ASI, without requiring massive power infrastructure. Through our novel polymorphic architecture, we're achieving unprecedented performance gains over current SOTA GPUs while dramatically reducing energy consumption.
The team consists of exceptional engineers obsessed with pushing the boundaries of what's possible in computing and AI, and we're now seeking our next founding engineer.
This is THE chance to do the work of your life. The chance to build something that will be remembered. To go hardcore on a technical moonshot that will actually matter for over 100 to 1,000 years.
Building energy-efficient chips ("XPUs") for AI training and inference.
Our XPUs are reconfigurable, capable of optimizing the dataflow of each model, making them faster and more energy-efficient than the current SOTA GPUs on the market. This saves data centers billions in cooling and energy costs.