186 lines
7.0 KiB
Markdown
186 lines
7.0 KiB
Markdown
RustyTorch++ — Phase 7 Plan (Ecosystem, Productization & Leadership)
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Objective (6–12 months, ongoing): Evolve RustyTorch++ from a high‑performance platform into the industry reference runtime by building a robust ecosystem: SDKs and language bindings, interop bridges, a community models hub, enterprise‑grade tooling & support, and formal governance/compliance. Phase 7 focuses on adoption, reliability at scale, and long‑term sustainability.
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Reference paths
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RUSTYTORCH_ROOT: /home/osobh/projects/rustytorch
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RUSTG_COMPILER: /home/osobh/projects/rust/rustg (RTX 5090, sm_120)
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STRATOSWARM_ROOT: /home/osobh/projects/stratoswarm
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Application layers remain optional; this phase targets ecosystem maturity around the core runtime, compiler, distributed training, and serving.
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1. Scope & Non‑Goals
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In scope
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SDKs & Language Bindings: Python, C/C++, Rust (official), Java, Node; WASM runtime preview.
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Interop Bridges: DLPack/ONNX import/export; converters from PyTorch/JAX; HF‑style checkpoint tooling; model zoo compatibility.
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Community Models Hub: signed, versioned model artifacts; performance leaderboards; reproducible recipes.
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Enterprise Tooling: RBAC, audit logging, policy enforcement, SSO, license compliance; Stratoswarm multi‑region rollout playbooks.
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Release Engineering: LTS channels, backport policy, CVE response process, crash telemetry opt‑in.
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Documentation & Education: end‑to‑end guides, examples gallery, official courses, certification.
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Support & Partnerships: migration workshops, ISV/IHV partnerships, marketplace pilots.
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Out of scope
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New core compiler/runtime features beyond P6 unless required for ecosystem parity.
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2. Success Criteria (Exit / Phase‑Gate)
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Adoption: ≥10 flagship OSS models and ≥5 enterprise pilot deployments on RustyTorch++ with public case studies.
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Developer Experience: median “time‑to‑first‑token” ≤10 minutes from clean install; SDK NPS ≥ 50.
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Reliability: LTS channel with <1 critical defect per quarter; p95 incident MTTR ≤ 2 hours.
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Interop: Import/export success for ONNX + DLPack flows; PyTorch/JAX converters pass ≥95% of selected suites.
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Governance: all releases signed with SBOM; CVE policy published; SLSA level target met for CI.
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Ecosystem Health: model hub with ≥100 models; performance leaderboard with reproducible submissions.
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3. Pillars & Workstreams
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A. SDKs & Bindings
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Python: wheels (CUDA/CPU/ROCm), typing stubs, pip/conda install docs.
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C/C++: stable ABI headers; cbindgen pipelines; minimal, versioned API surface.
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Java/Node: JNI/N‑API shims; async streaming clients; examples.
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WASM: preview of edge inference for small models; WASI target doc.
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B. Interop Bridges
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DLPack zero‑copy interop; ONNX importer/exporter with opset mapping; converter tools for PyTorch/JAX checkpoints and graphs.
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Fidelity tests: per‑layer error budgets; whole‑model parity; performance comparison scripts.
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C. Community Models Hub
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Signed, versioned artifacts with provenance; model cards; per‑SKU perf metrics.
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Leaderboard: tokens/sec, memory peak, p50/p95 latencies; reproducible benchmark harness.
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Contribution flow: template repos; CI validations; moderation and license checks.
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D. Enterprise Tooling
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RBAC/SSO integration; policy bundles (export controls, license allowlists); audit logs.
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Stratoswarm multi‑region reference: blue/green + canary; DR runbooks; autoscaling policies.
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Cost controls: GPU quota management; utilization heatmaps; rightsizing recommender.
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E. Release Engineering & Security
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LTS vs. Fast channels; semver discipline; backport and EOL timelines.
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CVE process; security advisories; signed containers/wheels; SBOM for each release.
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Crash telemetry opt‑in with redaction; symbol servers.
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F. Documentation & Education
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End‑to‑end tutorials (training→serving→monitoring); production checklists.
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Examples gallery (LLM, ViT, ASR); “1‑flag” migration guides.
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Official course + certification; partner enablement kits.
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G. Support & Partnerships
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Migration workshops; office hours; enterprise support tiers (SLA/response times).
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ISV/IHV partnerships (NVIDIA/AMD/Apple/Clouds); reference architectures.
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Marketplace pilots for models/add‑ons with revenue share.
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4. Deliverables
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SDKs/bindings (Python/C++/Java/Node) with CI publishing and examples.
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Interop tools: ONNX/DLPack + PyTorch/JAX converters; parity test suites.
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Community models hub: portal, CLI, CI validation, performance leaderboard.
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Enterprise toolkit: RBAC/SSO, policy packs, audit logging, Stratoswarm multi‑region charts and runbooks.
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Release engineering: LTS channel, CVE policy, signed artifacts (containers/wheels), SBOM.
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Docs & education: full site, examples, migration guides, certification content.
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Support: issue templates, triage playbooks, SLAs, partner kits.
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5. CI Gates & Quality Bars
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SDK install tests on Linux/macOS/Windows; CUDA/CPU/ROCm matrices.
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Interop parity ≥95% on selected test suites; performance regressions <5% vs native paths.
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Signed artifacts with SBOM; CVE workflow validated in dry‑runs.
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Model hub submissions must reproduce on CI with same metrics (± tolerance).
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Docs have runnable examples; link‑check and doctest gates.
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6. Observability & Ecosystem Metrics
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Install success rate; time‑to‑first‑token; SDK crash rate; API latency (client SDKs).
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Hub metrics: submission pass rate; leaderboard churn; top hardware SKUs.
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Enterprise metrics: uptime/SLO compliance; incident MTTR; cost/utilization KPIs.
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7. RACI — Phase 7 Agent Ownership
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Conductor (Orchestrator) — Accountable: phase delivery, dependency orchestration.
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Ecosystem/Interop Agent — Responsible: DLPack/ONNX bridges; converters; compatibility suites.
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Docs & SDK Agent — Responsible: SDKs, examples, docs site, doctests.
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DevOps Engineer — Responsible: release pipelines, wheels/conda containers, platform matrices.
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Security Engineer & Auditor — Accountable: CVE workflow, SBOM/signing, artifact policy.
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SRE Engineer — Responsible: production runbooks, multi‑region Stratoswarm playbooks.
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Performance Engineer — Consulted: parity benchmarks and leaderboard validation.
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Governance & Provenance Agent — Responsible: artifact provenance, policy enforcement.
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Agent Organizer — Accountable: tool allowlists, routing, freeze on gate failures.
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8. Risks & Mitigations
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Interop drift → maintain opset mapping table; nightly parity runs; community issue templates.
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Release complexity → channel discipline; automation; backport policy and scoreboard.
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Security regressions → SBOM + signing enforced; CVE drill practice.
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Docs rot → CI link checks; doc‑tests; ownership for each section.
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Support load → tiered SLAs; partner enablement; community moderators.
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9. Timeline (suggested)
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Quarter 1: SDKs/bindings; interop tools; parity suites; initial model hub + leaderboard.
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Quarter 2: Enterprise toolkit; multi‑region Stratoswarm playbooks; LTS channel + CVE process; docs site v1; certification beta.
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Quarter 3+: Marketplace pilots; partner reference architectures; expanded examples; adoption campaigns.
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— End of Phase 7 Plan —
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