Google TurboQuant Slashes LLM Memory 6x — No Retraining Required
Google DeepMind's TurboQuant compresses AI inference memory 6x with zero accuracy loss and no retraining, delivering 8x faster throughput on H100 GPUs. It's already open source.
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Google DeepMind's TurboQuant compresses AI inference memory 6x with zero accuracy loss and no retraining, delivering 8x faster throughput on H100 GPUs. It's already open source.
NVIDIA unveiled Ising, the world's first open-source AI models purpose-built for quantum computing — designed to run on existing GPU hardware without requiring actual quantum computers.
Nvidia and Hyundai are co-developing a $5.9 billion AI and robotics hub in South Korea powered by 50,000 Blackwell GPUs, shifting their relationship from technology supplier to joint innovator.
Google has contracted with SpaceX for access to roughly 110,000 NVIDIA GPUs — one of the largest inter-company compute deals of 2026, signaling hyperscalers are willing to source external capacity amid supply constraints.
GPU-backed debt structures and hyperscale AI data center construction are straining commercial insurance markets with novel risk profiles that existing products weren't designed to cover.