[TRTLLM-13694][perf] Refresh recipe configs from IBDB#16809
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Signed-off-by: Maxim Gluhovskoi <mgluhovskoi@nvidia.com>
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WalkthroughThe PR expands DeepSeek-R1-0528 and gpt-oss-120b configuration coverage, updates serving parameters for B200 and H200 variants, and adds validated TRT-LLM commit/version metadata to configuration database records. ChangesModel configuration database
Estimated code review effort: 3 (Moderate) | ~25 minutes Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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🧹 Nitpick comments (1)
examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml (1)
1-4: 🚀 Performance & Scalability | 🔵 Trivial | ⚡ Quick winAlign CUDA graph and runtime batch limits.
Every recipe sets
cuda_graph_config.max_batch_sizeto 128 while the runtimemax_batch_sizeis lower. With padding enabled, this can create unused graph sizes and unnecessary capture/memory overhead. The TensorRT-LLM v1.3.0rc14 guidance recommends matching these limits. (nvidia.github.io)
examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml#L1-L4: set the CUDA graph maximum to 32.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc4.yaml#L1-L4: set it to 4.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc64.yaml#L1-L4: set it to 64.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc8.yaml#L1-L4: set it to 8.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc128.yaml#L1-L4: set it to 16.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc16.yaml#L1-L4: set it to 16.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc256.yaml#L1-L4: set it to 32.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc32.yaml#L1-L4: set it to 32.examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc4.yaml#L1-L4: set it to 4.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml` around lines 1 - 4, Align cuda_graph_config.max_batch_size with max_batch_size in every affected recipe: set it to 32 in examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml and 8k1k_tp8_conc32.yaml, 4 in 1k1k_tp8_conc4.yaml and 8k1k_tp8_conc4.yaml, 64 in 1k1k_tp8_conc64.yaml, 8 in 1k1k_tp8_conc8.yaml, 16 in 8k1k_tp8_conc128.yaml and 8k1k_tp8_conc16.yaml, and 32 in 8k1k_tp8_conc256.yaml. Keep enable_padding unchanged.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@examples/configs/database/lookup.yaml`:
- Around line 57-58: Add the repository-standard NVIDIA copyright header at the
beginning of the modified database lookup configuration, using 2026 as the
copyright year. Keep the existing validated_trtllm_commit and
validated_trtllm_version entries unchanged.
In `@examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc256.yaml`:
- Line 1: Prepend the repository-standard NVIDIA copyright header to each recipe
file: examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc256.yaml,
examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc32.yaml,
examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc4.yaml,
examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc64.yaml,
examples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc8.yaml,
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp1_conc64.yaml,
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp1_conc8.yaml,
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp2_conc32.yaml,
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp2_conc4.yaml,
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc16.yaml, and
examples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc32.yaml, while
preserving each recipe's existing YAML content.
---
Nitpick comments:
In
`@examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml`:
- Around line 1-4: Align cuda_graph_config.max_batch_size with max_batch_size in
every affected recipe: set it to 32 in
examples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yaml
and 8k1k_tp8_conc32.yaml, 4 in 1k1k_tp8_conc4.yaml and 8k1k_tp8_conc4.yaml, 64
in 1k1k_tp8_conc64.yaml, 8 in 1k1k_tp8_conc8.yaml, 16 in 8k1k_tp8_conc128.yaml
and 8k1k_tp8_conc16.yaml, and 32 in 8k1k_tp8_conc256.yaml. Keep enable_padding
unchanged.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (50)
docs/source/_static/config_db.jsonexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/1k1k_tp4_conc16.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/1k1k_tp4_conc8.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/1k1k_tp8_conc128.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/1k1k_tp8_conc64.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp4_conc16.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp4_conc32.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp4_conc8.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp8_conc128.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp8_conc16.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp8_conc256.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp8_conc32.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/B200/8k1k_tp8_conc64.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc128.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc16.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc256.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc32.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc4.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc64.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/1k1k_tp8_conc8.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc128.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc16.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc256.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc32.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc4.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc64.yamlexamples/configs/database/deepseek-ai/DeepSeek-R1-0528/H200/8k1k_tp8_conc8.yamlexamples/configs/database/lookup.yamlexamples/configs/database/openai/gpt-oss-120b/B200/1k1k_tp1_conc256.yamlexamples/configs/database/openai/gpt-oss-120b/B200/1k1k_tp2_conc256.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc128.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc16.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc256.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc32.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc4.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc64.yamlexamples/configs/database/openai/gpt-oss-120b/B200/8k1k_tp1_conc8.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp1_conc64.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp1_conc8.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp2_conc32.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp2_conc4.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc16.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc32.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc4.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp4_conc8.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp8_conc4.yamlexamples/configs/database/openai/gpt-oss-120b/H200/1k1k_tp8_conc8.yamlexamples/configs/database/openai/gpt-oss-120b/H200/8k1k_tp1_conc4.yamlexamples/configs/database/openai/gpt-oss-120b/H200/8k1k_tp4_conc64.yamlexamples/configs/database/openai/gpt-oss-120b/H200/8k1k_tp8_conc8.yaml
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Dev Engineer Review
config_db.jsonwith the new configurations and validation metadata.QA Engineer Review
No test changes.
Description
Refresh the scoped TensorRT-LLM recipe configurations from the latest validated IBDB Pareto results.
The sync covered 65 usable mapped workloads: 24 new entries, 24 updated entries, and 17 entries already current. This PR adds 24 recipe YAML files, refreshes 24 existing recipe YAML files, records exact TensorRT-LLM v1.3.0rc14 provenance in
examples/configs/database/lookup.yaml, and regeneratesdocs/source/_static/config_db.json.Public scope:
nvidia/DeepSeek-R1-0528-FP4-v2on B200 NVLdeepseek-ai/DeepSeek-R1-0528on B200 NVL and H200 SXMopenai/gpt-oss-120bon B200 NVL and H200 SXMNo API or dependency changes are included.
Test Coverage
git diff --check: passed.PR Checklist
PR description clearly explains what and why.
PR follows the TRT-LLM coding guidelines to the best of my knowledge.
Existing config database tests cover the changed paths; no new code path is introduced.
No API change is introduced.
No new dependency is introduced.
CODEOWNERS changes are not required.
The generated customer-facing config database is updated.
No architecture change is introduced.
Reviewers can be assigned by the repository's normal automation.
Please check this after reviewing the above items as appropriate for this PR.
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