Unverified50% confidenceFactExact time
While accelerating, JetSpec++ fully preserves the output distribution of the target model, achieving lossless speculative decoding.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedJetSpec++ achieves up to a 7.45x speedup in wall-clock time relative to autoregressive (AR) decoding.65% similarUnverifiedThe full-stack GPU paradigm keeps environment state, dynamics simulation, policy network forward passes, and gradient computation entirely within video memory, eliminating the data transfer bottleneck between CPU and GPU.61% similarUnverifiedContinuous batching dynamically removes completed sequences and inserts new requests after each forward iteration, keeping the GPU fully loaded, and throughput can be increased several times compared with static batching.60% similarUnverifiedJetSpec++ comprises three major components: Intra-block Self Refinement, Inter-block Foresight Drafting, and Pipelined Drafting and Verification.59% similarUnverifiedThe Fast Start feature in v0.30.0 saves quantized, tensor-parallel-sharded weights in a per-GPU resident daemon process and maps them directly via CUDA IPC on restart, enabled with --load-format ipc_cache.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1038129API
curl https://kongchang.com/api/v1/knowledge/claims/1038129MCP
get_claim(id=1038129)