Energy efficient chips for AI
Zetta is building the next NVIDIA, energy-efficient chips ("XPUs") for AI training and inference, offering superior speed and energy efficiency compared to traditional GPUs and TPUs. Our XPUs are reconfigurable, capable of optimizing the dataflow of each model, making them faster and more energy-efficient than the current SOTA chips on the market. This saves data centers *billions* in cooling and energy costs.
Tech & App Stack is available on paid plans
Upgrade to Silver or higher to reveal the full technology and app stack for any company.
View pricingCreate a free account to see funding visualizations and detailed round data.
Create Free AccountJan 2024
Create a free account to see which investors have funded this company.
Create Free AccountGroq delivers fast, low cost AI inference using custom LPU (Language Processing Unit) chips and G...

AI hardware company building wafer-scale processors for deep learning training and inference
Self-driving cars.
Saronic provides naval and maritime forces with intelligent Autonomous Surface Vessels at scale, ...
Shield AI's mission is to protect service members and innocent civilians with artificially intell...
Provides AI inference hardware and cloud platform for enterprises, using RDUs and SambaCloud to r...