#15 - Add DGX Spark v1 performance report

AGENTS.md

@@ -96,6 +96,7 @@ The web docs live in `docs/` and are built with [MkDocs Material](https://squidf
 - `docs/concepts.md` — terminology glossary (stream types and protocols, GPUDirect, packet/burst/segment, flow/queue, memory region, zero-copy ownership, RX reorder). Meant to be opened in parallel with the rest of the docs.
 - `docs/api-reference/index.md` — API guide (6-step application lifecycle, configuration-first model)
 - `docs/api-reference/configuration.md`, `docs/api-reference/cpp.md`, `docs/api-reference/python.md` — YAML schema, C++ API, and Python bindings docs
+- `docs/performance-dgx-spark.md` — per-platform performance report for DGX Spark stream/protocol combinations
 - `docs/tutorials/` — tutorial walkthroughs (system config, config-file walkthrough)
 - `docs/tutorials/benchmarking_examples.md` — surfaced as a top-level "Benchmarks" nav entry in `mkdocs.yml` and `docs/index.html`; file kept at its original path for inbound-link stability
 - `docs/stylesheets/extra.css` — custom theme overrides
@@ -105,9 +106,10 @@ The web docs live in `docs/` and are built with [MkDocs Material](https://squidf
 **Keeping docs in sync with code:** before committing changes, scan for the recurring drift hotspots:
 - **Stream-type list** (`src/managers/*/`) — README Backends table, `docs/getting-started.md`, `docs/concepts.md` (Stream Types section + Support and testing admonition), `docs/api-reference/configuration.md`
 - **CMake options / `DAQIRI_MGR` default** (`src/CMakeLists.txt:137`) — README Quick Start, `docs/getting-started.md`, this file's Build & run section
-- **Benchmark binary or YAML names** (`examples/`) — the benchmark table above, `docs/tutorials/benchmarking_examples.md`, and the "Choosing an example config" decision tree in `docs/tutorials/configuration-walkthrough.md` (every YAML must have a leaf; CI's `scripts/check_doc_refs.py` enforces coverage)
+- **Benchmark binary or YAML names** (`examples/`) — the benchmark table above, `docs/tutorials/benchmarking_examples.md`, the "Choosing an example config" decision tree in `docs/tutorials/configuration-walkthrough.md` (every YAML must have a leaf; CI's `scripts/check_doc_refs.py` enforces coverage), and per-platform performance docs (`docs/performance-*.md`)
 - **Public API include** (`#include <daqiri/daqiri.h>`; source files under `include/daqiri/`) — `docs/api-reference/index.md`, `docs/api-reference/cpp.md`, `docs/api-reference/python.md`; if the change adds or renames a user-facing concept, also `docs/concepts.md`
 - **Python bindings** (`python/daqiri_common_pybind.cpp`) — `docs/api-reference/python.md` (function reference tables, enums/classes tables, GIL Behavior section)
+- **Bench CLI flags or output format** (`examples/raw_bench_common.{h,cpp}`, `*_bench.cpp`) — per-platform performance docs' Methodology section, `examples/run_spark_bench.sh` parsing logic
 - **Doc reorganization** (any rename in `docs/`) — `docs/index.html` landing page, `mkdocs.yml` nav, README Documentation table
 
 The full mapping with rationale lives in the docs-sync agent rule. Internal-link, anchor, and nav drift is enforced by CI (`.github/workflows/docs.yml`); content drift (stale binary names, defaults) is still a manual check at commit time.

README.md

@@ -91,6 +91,7 @@ Reference material for the DAQIRI codebase:
 - [Configuration YAML Reference](https://nvidia.github.io/daqiri/api-reference/configuration/) — Full YAML config reference for all backends
 - [C++ API Usage](https://nvidia.github.io/daqiri/api-reference/cpp/) — C++ RX/TX workflows, buffer lifecycle, file writing, utilities, and status codes
 - [Python API Usage](https://nvidia.github.io/daqiri/api-reference/python/) — Python bindings, workflow examples, enums, config classes, and helper functions
+- [Performance: DGX Spark](https://nvidia.github.io/daqiri/performance-dgx-spark/) — Per-platform throughput, drop, and utilization numbers for stream/protocol combinations on DGX Spark
 - [Contributing](CONTRIBUTING.md) — Contribution guidelines, coding standards, DCO sign-off
 
 ## Tutorials

docs/index.html

@@ -684,6 +684,12 @@ <h2 class="section-title">News</h2>
         </div>
       </div>
       <div class="pub-grid">
+        <div class="pub-card">
+          <div class="pub-venue"><span class="pub-badge">Performance</span><span class="pub-year">2026</span></div>
+          <div class="pub-title">DAQIRI Performance on DGX Spark</div>
+          <div class="pub-authors">NVIDIA — Throughput, drops, and resource utilization for raw GPUDirect, Socket / RoCE, and Socket / UDP/TCP measured on a DGX Spark (GB10) workstation. First in a series of per-platform performance reports.</div>
+          <div class="pub-links"><a href="performance-dgx-spark/" class="pub-link">Read report →</a></div>
+        </div>
         <div class="pub-card">
           <div class="pub-venue"><span class="pub-badge">GitHub</span><span class="pub-year">2025</span></div>
           <div class="pub-title">DAQIRI Open-Sourced on GitHub</div>