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DevOps & Cloud · By Xilinx

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1

Phase 2 of LLM deployment — wire the verified Phase 1 kernels into one transformer block on NPU and verify per-layer cosine vs the HF bf16 reference (the shared programmingexamples/llms/verify/…

Xilinx/mlir-air150—~3.4kAutomated safety check: PassMITtoday
2

Phase 4 of LLM deployment — apply the shared optimization skillset to a Phase-3-correct prefill pipeline (multi-launch merge, BO pre-loading + intermediate buffer reuse, seq-first layout).

Xilinx/mlir-air150—~2.3kAutomated safety check: PassMITtoday
3

Phase 5 of LLM deployment — apply the shared optimization skillset to a Phase-4-correct decode pipeline (multi-launch merge with N-way extern rename, static weight BOs, on-device layout).

Xilinx/mlir-air150—~2.3kAutomated safety check: PassMITtoday
4

Phase 6 of LLM deployment — integrate Phase 4 prefill + Phase 5 decode into a clean <modelinference.py, write the model's verifyadapter.py hooking into the shared programmingexamples/llms/verify/…

Xilinx/mlir-air150—~3.5kAutomated safety check: PassMITtoday
5

Phase 7 of LLM deployment — spawn a fresh subagent that treats the deployment as UNTRUSTED, audits the make verify implementation (anti-reward-hacking: confirms the token-set gate runs the…

Xilinx/mlir-air150—~2.4kAutomated safety check: PassMITtoday