Google TurboQuant: LLM Inference Memory Cut 6x - Whose Moat Collapsed?
Google TurboQuant explained: LLM inference memory compressed 6x
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Google TurboQuant: LLM Inference Memory Cut 6x - Whose Moat Collapsed?
April 3, Google Research quietly published a paper: "TurboQuant: 6x Memory Compression, LLM Inference Costs About to Change".
What is TurboQuant?
New quantization algorithm compresses LLM inference memory 6x+ with almost no accuracy loss.
What does this mean?
1. 70B models can run on consumer GPUs (RTX 4090)
2. Cloud providers "Model as Service" business in trouble
3. Edge AI is really coming
SFD Editor Note: April 8, 2026 - AI infrastructure changes too fast. Our strategy: follow open source, quick reproduce, local first.