[ROCm][AMD] GLM5.2/5.3 Performance Optimization on gfx950 / MI355X
Author: amd-sriramCreated Sep 16, 2026Updated Sep 17, 2026
Labelsfeature requestrocmquantization
This feature page tracks the peformance optimization of amd/GLM-5.2-MXFP4 / amd/GLM-5.3-Quark-MXFP4-AttnFP8 on gf950/MI355X The following list of PRs lands as stacked PRs on vllm-project/vllm main.
CC: @tjtanaa, @jhartika-amd, @maeehart, @nholmber
Nvidia equivalence
- [In review] Index Share feature (1% E2E TTFT improvement) - vllm-project/vllm#51309
- [In review] Remove aten fill functor in prefill MQA logits (1% E2E TTFT improvement) - vllm-project/vllm#51314
AITER kernel optimization:
- [In review] use AITER kernel for
cp_gather_indexer_k_quant_cacheandindexer_k_quant_and_cacheandtop_k_per_row_decodeinstead of triton - vllm-project/vllm#46172 - [In review] Sparse indexer kernel fusion for K normalization, Q/K RoPE, FP8 quantization, and K-cache write -
indexer_qk_rope_quant_and_cache(1% E2E throughput improvement) - vllm-project/vllm#51315 - [In review] MLA fused kernel for rope, query concat, KV concat, fp8 cache write -
fused_qk_rope_concat_and_cache_mla- vllm-project/vllm#47757 - [In review] Replace ATen gemm with tuned AITER gemm
aiter.tuned_gemm.tgemm.mm(3% E2E throughput improvement) - vllm-project/vllm#50535 - [closed] fMoE tuning for gfx950 (5% E2E throughput improvement) - ROCm/aiter#4629
- [open in aiter] Dispatch to FlyDSL MQA logits in prefill
flydsl_fp8_mqa_logits(1.5% E2E throughput improvement)
Additional optimization
- [ready] FP8 dtype hoist - vllm-project/vllm#53792
AITER dependencies that need to be merged
- FlyDSL paged MQA logits in decode - ROCm/aiter#4221
- FlyDSL MQA logits in prefill - ROCm/aiter#4538
- FlyDSL topk - ROCm/aiter#4355
Planned tasks
- [open in aiter] Dispatch to FlyDSL paged MQA logits in decode
flydsl_fp8_paged_mqa_logits(1 week ETA, expected 1.5% E2E throughput improvement) - MTP enablement:
- support next_n > 2
- AITER kernel support
- FlyDSL kernel for quick all reduce (INT4) - ROCm/aiter#4970
Source: vllm-project/vllm