DIGITAL TRANSFORMATION
Car manufacturers use the chips for autonomous vehicle development , processing data from vehicle sensors and controlling self-driving systems .
Nvidia ’ s Drive platform provides both hardware and software for autonomous vehicles . The system processes input from cameras , radar and lidar sensors to create a real-time model of the vehicle ’ s environment .
Transport companies use similar technology for fleet management and logistics optimisation . The processors analyse traffic patterns and vehicle telemetry to improve routing and reduce fuel consumption .
Competition and market response Advanced Micro Devices ( AMD ), a semiconductor company that competes with Nvidia in graphics processors , has launched new chips targeted at AI applications . The MI300 processor family aims to challenge Nvidia ’ s market position in data centres .
Intel , the world ’ s largest manufacturer of traditional computer processors ,
“ Industry experts and consulting leaders are building out practices to guide enterprises through adding Gen AI capabilities to their businesses ”
ERIK POUNDS SENIOR DIRECTOR OF ENTERPRISE AI , NVIDIA
has acquired Habana Labs , an Israeli AI chip startup , to develop processors specifically for AI workloads . The company ’ s Gaudi chips offer an alternative for companies concerned about relying on a single supplier .
Cloud computing providers have also developed custom processors for their data centres . Google ’ s Tensor Processing Units ( TPUs ) handle AI workloads on its cloud platform . Amazon ’ s Trainium and Inferentia processors serve similar functions in AWS data centres .
Supply chain dynamics and environmental considerations Nvidia ’ s reliance on Taiwan Semiconductor Manufacturing Company ( TSMC ) for chip production has drawn attention from policymakers concerned about concentration risk in the semiconductor supply chain .
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