Summary
Bring up Qwen3-14B single-node multi-card serving inference with DP and TP parallelism, complete functional generalization tests, and collect initial performance baseline numbers.
Motivation / Use Case
The previous Qwen3-14B serving milestone focused on core serving capabilities and single-card validation. The next serving milestone should validate that the same serving stack can scale to a single-node multi-card deployment and exercise both data parallel and tensor parallel execution modes.
This is the practical next step from a single-card runnable baseline toward deployable serving capacity.
Proposed API / Behavior
- Qwen3-14B serving runs on a single machine with multiple cards.
- DP mode is supported and validated.
- TP mode is supported and validated.
- Functional generalization tests cover representative request shapes, batch sizes, prefix-cache behavior and decode/prefill paths.
- Performance numbers are collected for throughput, TTFT, TPOT/P99 latency, prefix-cache hit rate and KV cache utilization.
requests
-> scheduler / batching / prefix cache
-> Qwen3-14B multi-card serving
-> DP and TP execution
-> correctness + performance report
Related Work
Closure Note For Previous Milestone
meta-sprint#4 appears to have reached the original single-card/core-capability scope if the benchmark baseline artifacts are available. This issue tracks the follow-up multi-card serving scope separately.
Acceptance
- DP serving path runs end-to-end on a single multi-card node.
- TP serving path runs end-to-end on a single multi-card node.
- Functional generalization test report is attached or linked.
- Initial performance report is attached or linked.
- Known crash/regression cases are either fixed or explicitly documented with follow-up issues.
Summary
Bring up Qwen3-14B single-node multi-card serving inference with DP and TP parallelism, complete functional generalization tests, and collect initial performance baseline numbers.
Motivation / Use Case
The previous Qwen3-14B serving milestone focused on core serving capabilities and single-card validation. The next serving milestone should validate that the same serving stack can scale to a single-node multi-card deployment and exercise both data parallel and tensor parallel execution modes.
This is the practical next step from a single-card runnable baseline toward deployable serving capacity.
Proposed API / Behavior
Related Work
Closure Note For Previous Milestone
meta-sprint#4appears to have reached the original single-card/core-capability scope if the benchmark baseline artifacts are available. This issue tracks the follow-up multi-card serving scope separately.Acceptance