[TRTLLM-5366][chore] Add dgx-spark beta notes

[farazkh80]

Summary by CodeRabbit

• Documentation
  • Added DGX Spark Support (Beta) feature documentation highlighting beta support for single-node configurations.
  • Documented validated models and precision formats for DGX Spark support.
  • Added corresponding known issues entry noting DGX Spark beta status and validation scope.

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[coderabbitai]

📝 Walkthrough

Walkthrough

Documentation update adding beta support information for DGX Spark under the release notes. Introduces a new feature block describing DGX Spark beta capabilities with validated models and precision formats, plus a corresponding known issues entry noting the beta status and single-node configuration scope.

Changes

Cohort / File(s)	Summary
Release Notes Documentation docs/source/release-notes.md	Added DGX Spark Support (Beta) feature block highlighting support for single-node configurations and validated model/precision format combinations (MXFP4, FP16/FP8/NVFP4, FP4, etc.). Added corresponding Known Issues entry documenting beta status and validation scope.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete. The Description and Test Coverage sections are empty placeholders with only HTML comments, failing to explain what was changed or why, or document relevant test coverage.	Fill in the Description section explaining what DGX Spark beta notes were added and why, and complete the Test Coverage section documenting how these documentation changes were validated.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The PR title clearly and specifically describes the main change: adding DGX Spark beta notes to the documentation, which aligns with the actual changes in the release notes file.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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Reviewing files that changed from the base of the PR and between e87a406 and 75786d4.

📒 Files selected for processing (1)

• docs/source/release-notes.md

🧰 Additional context used

📓 Path-based instructions (1)

**/*.{md,rst}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

When documenting CLI commands for TensorRT-LLM tools like trtllm-serve, trtllm-bench, or trtllm-eval, prefer using --config over --extra_llm_api_options for specifying configuration files

Files:

• docs/source/release-notes.md

🧠 Learnings (9)

📚 Learning: 2025-08-21T00:16:56.457Z

Learnt from: farshadghodsian
Repo: NVIDIA/TensorRT-LLM PR: 7101
File: docs/source/blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.md:36-36
Timestamp: 2025-08-21T00:16:56.457Z
Learning: TensorRT-LLM container release tags in documentation should only reference published NGC container images. The README badge version may be ahead of the actual published container versions.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2026-01-09T01:50:57.490Z

Learnt from: EmmaQiaoCh
Repo: NVIDIA/TensorRT-LLM PR: 9818
File: docker/common/install_tensorrt.sh:5-18
Timestamp: 2026-01-09T01:50:57.490Z
Learning: NVIDIA PyTorch 25.12 container uses CUDA 13.1 with cuBLAS 13.2.0.9, which is a supported configuration. When aligning TensorRT-LLM dependencies with PyTorch container releases, the cuBLAS version should match the upstream container even if the major version appears higher than the CUDA version.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-08-01T15:14:45.673Z

Learnt from: yibinl-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 6506
File: examples/models/core/mixtral/requirements.txt:3-3
Timestamp: 2025-08-01T15:14:45.673Z
Learning: In TensorRT-LLM, examples directory can have different dependency versions than the root requirements.txt file. Version conflicts between root and examples dependencies are acceptable because examples are designed to be standalone and self-contained.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-09-23T15:12:38.312Z

Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/thop/allreduceOp.cpp:352-446
Timestamp: 2025-09-23T15:12:38.312Z
Learning: In TensorRT-LLM NCCL device implementation, NCCL version 2.28+ requirements are handled at runtime in the nccl_device/config layer rather than with compile-time guards. This allows the allreduceOp to remain version-agnostic and delegates version compatibility validation to the appropriate lower-level components that can gracefully handle unsupported configurations.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-09-09T09:40:45.658Z

Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-07-28T17:06:08.621Z

Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-08-27T14:23:55.566Z

Learnt from: ixlmar
Repo: NVIDIA/TensorRT-LLM PR: 7294
File: tensorrt_llm/_torch/modules/rms_norm.py:17-17
Timestamp: 2025-08-27T14:23:55.566Z
Learning: The TensorRT-LLM project requires Python 3.10+ as evidenced by the use of TypeAlias from typing module, match/case statements, and union type | syntax throughout the codebase, despite some documentation still mentioning Python 3.8+.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-08-06T13:58:07.506Z

Learnt from: galagam
Repo: NVIDIA/TensorRT-LLM PR: 6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.

Applied to files:

• docs/source/release-notes.md

📚 Learning: 2025-08-19T12:45:11.997Z

Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 7033
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:0-0
Timestamp: 2025-08-19T12:45:11.997Z
Learning: In tensorrt_llm/_torch/pyexecutor/model_engine.py, DoRA (Delta Orthogonal Rank Adaptation) functionality was removed from the PyTorch flow to eliminate issues with inverted DoRA detection logic. The original is_dora condition was checking if scaling_vec_pointer == 0, which was potentially incorrect.

Applied to files:

• docs/source/release-notes.md

🔇 Additional comments (2)

docs/source/release-notes.md (2)

11-24: LGTM! Clear and well-structured beta feature documentation.

The DGX Spark support documentation is comprehensive and follows the release notes format properly. It clearly indicates the beta status, specifies the single-node limitation, and provides a detailed list of validated models with their supported precision formats.

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33-34: LGTM! Appropriate known issue entry for beta feature.

The known issue correctly documents the beta status and validation scope, properly cross-referencing the models listed in the Key Features section above. This helps set clear user expectations about the current support boundaries.

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[farazkh80]

/bot skip --comment "only markdown updated"

[tensorrt-cicd]

PR_Github #32335 [ skip ] triggered by Bot. Commit: 75786d4

[tensorrt-cicd]

PR_Github #32335 [ skip ] completed with state SUCCESS. Commit: 75786d4
Skipping testing for commit 75786d4