doc: Minor update to DeepSeek R1 best practice

[kaiyux]

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[Copilot]

Pull Request Overview

This PR refines the DeepSeek R1 best practice guide by correcting table of contents entries and updating the chunked context support section to accurately reflect Hopper GPU limitations.

• Updated TOC links and indentation for B200/H200 throughput benchmarks
• Renamed and clarified the “chunked context support” section to indicate Hopper restrictions
• Adjusted section headings and anchor names for consistency

Comments suppressed due to low confidence (3)

docs/source/blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.md:24

• The section title uses R1 while the FP8 section uses R1-0528; align version naming across both headings for clarity.

    - [B200 max-throughput for R1 with FP16 KV cache](#b200-max-throughput-for-r1-with-fp16-kv-cache)

docs/source/blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.md:426

• [nitpick] The phrase "has to be at least larger than" is awkward; consider rephrasing to "must be greater than or equal to the maximum input sequence length" for clarity.

MLA chunked context support has been added on Blackwell GPUs, while it's not supported on Hopper yet. On Hopper, note that `max_num_tokens` has to be at least larger than the max input sequence length of the samples in dataset.

docs/source/blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.md:21

• [nitpick] The nested list indentation is inconsistent; consider using two spaces per level (e.g., - -) for uniform Markdown formatting.

    - [B200 max-throughput for R1-0528 with FP8 KV cache](#b200-max-throughput-for-r1-0528-with-fp8-kv-cache)

[kaiyux]

/bot skip --comment "doc changes"

[tensorrt-cicd]

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PR_Github #10300 [ skip ] completed with state SUCCESS
Skipping testing for commit b7ec8fe

[Superjomn]

LGTM