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Thaw

v0.2.1 Breaking

This release includes 2 breaking changes for platform teams planning a safe upgrade.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agents inference kv-cache llm reinforcement-learning sglang
+1 more
vllm

Affected surfaces

breaking_upgrade

Summary

AI summary

Strict mode now raises on native extension load failure, eliminating the slow Python fallback path.

Full changelog

Highlights

  • Freeze throughput: 0.19 → 19.62 GB/s on H100 (104× rewrite of the pipelined freeze path, O_DIRECT
    pwrite, double-buffered WC pinned memory)
  • KV cache freeze/restore wired through the pipelined Rust path — no more Python-loop-bound
    serialization for the competitive-moat KV snapshot
  • New on-disk KV format: standard .thaw file + .meta JSON sidecar. Legacy single-file readers
    preserved for backward compat
  • Unified restore_from_bytes_auto — tries cudaHostRegister zero-copy first, falls back to
    memcpy-through-staging on failure. One entry point, no caller-side flag
  • WC pinned-buffer thread-local cache — amortizes cudaHostAlloc across freeze/restore calls.
    Critical for thaw serve hot-swap
  • Strict mode default flipped — failed native extension load now raises instead of silently falling
    back to 50 MB/s Python path. Opt out via THAW_ALLOW_PYTHON_FALLBACK=1
  • Slow PyO3 siblings removed (freeze_to_file / restore_from_file) — silent 100× footgun
    eliminated

Upgrade

pip install -U thaw-native thaw-vllm

Breaking Changes

  • Strict mode default flipped: failed native extension load now raises instead of silently falling back to the 50 MB/s Python path. Opt out via THAW_ALLOW_PYTHON_FALLBACK=1
  • Removed slow PyO3 siblings freeze_to_file and restore_from_file

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