Unverified50% confidenceFactExact time
Gated DeltaNet makes memory usage during inference independent of context length by maintaining a fixed-size hidden state matrix.
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50%
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Long-term
Relevance
9/11/2026
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Partially VerifiedLarge models are essentially stateless; during each inference, the model can only see the token sequence in the current input and has no persistent memory storage.63% similarUnverifiedDeltaNet is a variant of linear attention that replaces softmax attention with a delta update rule, reducing sequence processing complexity from O(n²) to O(n).63% similarUnverifiedDuring inference, each token requires maintaining a KV cache (Key-Value cache), whose GPU memory usage is proportional to sequence length and the number of model layers.61% similarVerified自回归大模型推理瓶颈并非计算量而是内存带宽，推测解码通过拒绝采样保证输出分布与原始大模型完全一致61% similarVerifiedThe autoregressive generation process of reasoning models is strictly sequential; KV Cache VRAM usage grows linearly with the length of the thinking token sequence, making memory bandwidth the performance bottleneck.60% similar
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