DeepSeek V4.1-Flash targets cheaper AI agents by shrinking memory demands
DeepSeek’s V4.1-Flash cuts KV cache memory and input compute for long-context AI agents, while its benchmark results remain uneven.
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DeepSeek’s V4.1-Flash cuts KV cache memory and input compute for long-context AI agents, while its benchmark results remain uneven.
Google Research has publicly released TurboQuant, a training-free AI memory compression algorithm suite that delivers a 6x reduction in KV cache memory usage and an 8x speedup in attention computation, potentially cutting enterprise AI inference costs by more than 50%.