Google's new AI chip, Cloud TPU v5p, is now available. It boasts nearly triple the training speed for large language models compared to its predecessor, TPU v4. This release underscores Google's position in the AI hardware race alongside competitors like Nvidia. Google has also introduced the Google Axion CPU, based on Arm's chip infrastructure, promising better performance and energy efficiency.
Monday, April 15, 2024NVIDIA's dominance in the AI space continues to be secured not just by hardware, but by its CUDA software ecosystem and proprietary interconnects. Alternatives like AMD's ROCM struggle to match CUDA's ease of use and performance optimization, ensuring NVIDIA's GPUs remain the preferred choice for AI workloads. Investments in the CUDA ecosystem and community education solidify NVIDIA's stronghold in AI compute.
Jony Ive is collaborating with OpenAI CEO Sam Altman on a new AI hardware project. The venture could raise $1 billion by year-end and involves key former Apple designers. Specifics of the device remain undetermined, but it aims to leverage generative AI for advanced user interactions.