Sandia National Laboratories
Assembly Line
Intel builds world’s largest neuromorphic system
The system, code-named Hala Point, has initially been deployed at Sandia National Laboratories, and uses Intel’s Loihi 2 processor. It is intended to support research into future brain-inspired artificial intelligence (AI), as well as tackling challenges that are related to the efficiency and sustainability of today’s AI.
Hala Point is the first large-scale neuromorphic system to demonstrate state-of-the-art computational efficiencies on mainstream AI workloads. Characterization shows it can support up to 20 petaops, with an efficiency exceeding 15 trillion 8-bit operations per second per watt (TOPS/W) when executing conventional deep neural networks.
NREL To Lead New Lab Consortium To Enable High-Volume Manufacturing of Electrolyzers and Fuel Cells
The Roll-to-Roll (R2R) Consortium is a new national laboratory consortium with a mission to advance efficient, high-throughput, and high-quality manufacturing methods and processes to accelerate domestic manufacturing and reduce the cost of durable, high-performance proton exchange membrane fuel cell and electrolyzer systems.
The R2R Consortium is led by the National Renewable Energy Laboratory (NREL) and includes Argonne National Laboratory (ANL), Oak Ridge National Laboratory (ORNL), Lawrence Berkeley National Laboratory, and Sandia National Laboratories.
High-throughput manufacturing of fuel cells and water electrolyzers is critical for achieving widespread deployment of low-cost, clean hydrogen technologies. Roll-to-roll manufacturing of materials can increase efficiency, reduce material waste, and improve cost, but there are challenges related to materials synthesis, coating, drying, and quality control that need to be addressed to scale up these processes for industry adoption.