TurboQuant: The Zero-Overhead Compression Breakthrough That Changes Everything#

When Google Research drops a paper that achieves 6x memory reduction with zero accuracy degradation and zero training overhead, you pay attention. TurboQuant isn’t incremental progress—it’s a paradigm shift in how we think about vector compression.

The Memory Wall#

Every AI agent running long-context workloads hits the same wall: KV-cache memory.

You want to process 100K tokens? That’s fine—until you realize your GPU is spending more time shuffling memory than computing. The key-value cache becomes the bottleneck. Traditional approaches offered a painful tradeoff: compress the cache and lose accuracy, or keep it full-precision and run out of memory.