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quote: Custom HBM! "By integrating the memory controller into the 3D HBM stack instead of the XPU, NVHBM delivers up to 30% greater memory bandwidth and 15% lower HBM power consumption, and frees up to 25% more area on XPU compute die compared with standard HBM4E." https://x.com/nvidiaaiinfra/status/2092723685194973635 | Announcing the expansion of NVIDIA NVLink Fusion with NVHBM, a next-generation high-bandwidth memory technology that brings higher memory performance and efficiency to XPUs. Amazon's @AnnapurnaLabs will be the first to work with us on NVHBM, combining @awscloud custom silicon with our memory technology and the NVLink scale-up architecture to enhance performance and efficiency for AI workloads. Learn how we're helping hyperscalers and AI innovators build the next generation of AI infrastructure: nvda.ws/4xpBtYN
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