Docs.rs

Dependency-tree and explain views for Cabin

Megatron-LM-style tensor-parallel primitives (Column / Row Parallel Linear) for the baracuda CUDA stack. Pure-composition crate — local GEMM via baracuda-cublas + cross-rank collectives via baracuda-nccl. No new CUDA kernels. NEW in Phase 57; deliberate scope expansion (distributed-training-framework-adjacent). Off-by-default in baracuda-kernels via the `megatron_tp` cargo feature so non-distributed consumers don't pay the dep surface cost. Algorithmic reference: Shoeybi et al. arXiv:1909.08053 (NVIDIA Megatron-LM, Apache-2.0).

Optimizer kernels (Adam / LAMB / SGD) for the baracuda CUDA stack, built on the multi_tensor_apply idiom vendored from NVIDIA Apex (BSD-3-Clause). One launch over thousands of parameter tensors — critical for the optimizer step on large-model training stacks. NEW in Phase 49; deliberate scope expansion (training-framework-adjacent). Off-by-default in baracuda-kernels via the `optim` cargo feature so inference-only consumers don't pay the FFI surface cost.

Command-line tools (dump, check, stat, backup) for the obj embedded document database.

Embedded document database. Stable file format, full ACID, single-file portability.

Kubernetes Custom Resource Bindings

Storage engine internals for the obj embedded document database (pager, WAL, B-tree, codec, catalog).

Safe Rust wrappers for NVIDIA NCCL (multi-GPU collective communication).

Procedural macros (#[derive(Document)]) for the obj embedded document database.

Safe Rust wrapper for baracuda's port of NVIDIA TransformerEngine's FP8 cast/transpose + delayed-scaling recipe primitives. Provides `Fp8Recipe` (delayed-scaling state with amax history), `Fp8CastPlan` for {f32, f16, bf16} → FP8 with running amax, `Fp8DequantPlan` for FP8 → {f32, f16, bf16}. Cast/recipe subset only — `normalization` / `fused_rope` / `fused_attn` / `fused_softmax` / `activation` / `gemm` skipped (overlap existing baracuda phases). NO cuDNN dep, NO pybind11. On Ada (sm_89) the FP8 wins are bandwidth-saving only (KV cache, weights); FP8 tensor-core math throughput equals BF16. Forward-compatible with Hopper / Blackwell where the compute wins also materialize.

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CLI and ACP server for the Aether AI coding agent

Safe Rust wrapper for baracuda's clean-fork of Hiroyuki Ootomo's ozIMMU — Ozaki-scheme FP64 GEMM that synthesizes a DGEMM from S^2 int8 tensor-core matmuls. Provides an RAII handle + drop-in `dgemm` shim suitable for the `BackendKind::Ozaki` path of `baracuda-kernels`'s `GemmPlan`. Opt-in (NOT bit-equivalent to native DGEMM); the default FP64 path stays on CUTLASS / cuBLAS.

Built-in MCP tool servers for the Aether AI agent framework

A terminal UI for AI coding agents via the Agent Client Protocol (ACP)