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Release v2.0.0 — The Own Everything Release · Zyora-Dev/zse
zyoraclub · 2026-06-02 · via Show HN

ZSE v2.0.0 — The "Own Everything" Release

A complete rewrite. Zero third-party dependencies. No PyTorch, no Triton, no transformers, no bitsandbytes. Pure-Python kernel compiler emits CUDA C, HIP C, and Metal Shading Language directly.

Install size: ~3 GB → ~5 MB.

Headline numbers (Qwen2.5-14B INT4 vs vLLM AWQ INT4 on A100-80GB)

Metric ZSE vLLM Δ
Cold start 6.29s 127.02s 20.2×
VRAM used 12.28 GB 71.45 GB 5.82× less
Single-seq tok/s 37.0 26.5 1.40×

Validated on 6 platforms

GPU Cold start vs vLLM AWQ INT4 cold
NVIDIA T4 (sm_75) 7.25s 30.2× faster
NVIDIA L4 (sm_89) 5.58s 26.0× faster
NVIDIA A10G (sm_86) 6.01s 32.1× faster
NVIDIA A100-80GB 6.29s 20.2× faster
AMD MI300X 3.14s 13.6× faster (vs vLLM-ROCm FP16)
Apple M1 E2E vector_add validated, full inference pending

Install

pip install zse-engine
zse serve model.zse --port 8000

Or run the kernel compiler standalone:

What's in this release

  • ZSE Kernel Compiler@zse.kernel Python DSL → CUDA / HIP / Metal. Warp primitives, vectorized memory, block reductions, tiling, fusion, WMMA, CDNA3 MFMA matrix cores, auto-tuning.
  • .zse model format v2 — pre-quantized INT4/INT8/FP16, mmap-friendly, C-accelerated quantization (~600× faster). Adapters for Llama / Mistral / Qwen2 / Gemma2 / Phi3.
  • Own PagedAttention — adaptive block sizing, token-level eviction, FNV-1a dedup, COW forking.
  • ZStreamer — continuous batching, disaggregated prefill/decode, chunked prefill, speculative decoding (n-gram + self-draft).
  • Orchestrator — unified VRAM allocator, 29 GPU kernels on MI300X, CUDA Graphs + HIP Graphs, LoRA hot-swap.
  • Server — OpenAI-compatible API, API key auth, rate limiting, SQLite store, built-in RAG (/v1/rag/*), web dashboard.
  • RAG — BM25 + TF-IDF + dense embeddings (via the loaded LLM, zero extra deps) + Reciprocal Rank Fusion + LLM cross-encoder rerank.
  • Tensor Parallelism — pure-ctypes NCCL/RCCL wrapper, multi-process workers.

Breaking changes

  • Package rename: zllm-zsezse-engine on PyPI
  • Module rename: zsezse_engine
  • .zse format v2 is incompatible with 1.x — re-convert with zse convert
  • bnb / bitsandbytes backend removed
  • PyTorch / Triton / transformers dependencies removed

Full migration guide and detailed change log: CHANGELOG.md

Acknowledgments

AMD MI300X validation, 32B-parameter benchmarks, and our ROCm wave-64 kernel development were made possible by DigitalOcean's Open Source Sponsorship Program.


447 tests passing. Zero dependencies. Three GPU backends. One package.