{
  "title": "Qwen3.8-Flash-Next on one MI350P",
  "date": "2026-10-30",
  "concurrency": [
    1,
    2,
    4,
    8,
    16,
    32,
    64
  ],
  "scope": "Speed and serving: one MI350P, configured GPU power limit 450 W. Full-stack comparison with different quantized checkpoints. The Paiton CDNA4 engine is proprietary and not released. Accuracy BF16 control is on MI355X.",
  "engines": [
    {
      "id": "paiton",
      "label": "Paiton CDNA4",
      "source": "lmx-paiton.json",
      "checkpoint": "EliovpAI/Qwen3.8-Flash-Next-W4A8-Paiton-CDNA4"
    },
    {
      "id": "vllm",
      "label": "vLLM + AITER",
      "source": "lmx-vllm.json",
      "checkpoint": "amd/Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8"
    },
    {
      "id": "sglang16",
      "label": "SGLang MTP · 16 seqs",
      "source": "lmx-sglang-mtp16.json",
      "checkpoint": "amd/Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8"
    },
    {
      "id": "sglang8",
      "label": "SGLang MTP · 8 seqs",
      "source": "lmx-sglang-mtp8.json",
      "checkpoint": "amd/Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8"
    },
    {
      "id": "sglangNoMtp",
      "label": "SGLang · no MTP",
      "source": "lmx-sglang-no-mtp.json",
      "checkpoint": "amd/Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8"
    }
  ],
  "sources": [
    {
      "file": "lmx-paiton.json",
      "originalPath": "p161-paiton-native-rc13/lmx/inference-matrices/EliovpAI-Qwen3.8-Flash-Next-W4A8-Paiton-CDNA4/matrix-20261030T010342Z.json",
      "sha256": "5ec7aac68c0a85e0eeb5a49cda85ef56f8fb8ec43eb536fa0f2520ae76e64133"
    },
    {
      "file": "lmx-vllm.json",
      "originalPath": "a2-vllm-aiter/lmx/inference-matrices/amd-Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8/matrix-20261026T025114Z.json",
      "sha256": "f46e9feb093931fd495aeae2178a161826806d4b8a26a137e06b1c46359af327"
    },
    {
      "file": "lmx-vllm-c3264.json",
      "originalPath": "a2i-c3264/lmx/inference-matrices/amd-Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8/matrix-20261029T091557Z.json",
      "sha256": "69d72b1186750b8a8178d06430f7afe0815d044778bdb696ac28a3ebc0bd939e"
    },
    {
      "file": "lmx-sglang-mtp8.json",
      "originalPath": "s3-sglang-mtp3/lmx/inference-matrices/amd-Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8/matrix-20261025T212626Z.json",
      "sha256": "830d4d84f151de0556b6e161cb9ef1929fccf194b1d62ac8efb19b2b47eaced3"
    },
    {
      "file": "lmx-sglang-mtp16.json",
      "originalPath": "s3b-sglang-mtp3-c16/lmx/inference-matrices/amd-Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8/matrix-20261026T034823Z.json",
      "sha256": "d927a7caf752529b7f0744366518bfe773ec1cdd2ac4a4db91081add121dc6a2"
    },
    {
      "file": "lmx-sglang-no-mtp.json",
      "originalPath": "s5i-c3264/lmx/inference-matrices/amd-Qwen3.8-Flash-Next-Quark-MXFP4-PLEFP8/matrix-20261029T094637Z.json",
      "sha256": "ccc195fd79c281c084e2dcbdc64a917309933878772922d8f9cfbdd02677a1d4"
    },
    {
      "file": "sweep-paiton.jsonl",
      "originalPath": "p161-paiton-native-rc13/sweep-final2/cells.jsonl",
      "sha256": "74702f79403a46bd6d105bdd3062823b875cff139379f967a5ee9c2706ec1bba"
    },
    {
      "file": "sweep-paiton-c3264.jsonl",
      "originalPath": "p161-paiton-native-rc13/sweep-final2-c3264/cells.jsonl",
      "sha256": "76b237a3593516cdcf7df3016772c7c6fedf18401634d4942ade5c68ee7b0f44"
    },
    {
      "file": "sweep-vllm.jsonl",
      "originalPath": "a2-vllm-aiter/sweep-final2/cells.jsonl",
      "sha256": "8ef249aa26237bbe584041dea21519e52b77d289eb9656d31decca0c1695dfe6"
    },
    {
      "file": "sweep-vllm-c3264.jsonl",
      "originalPath": "a2-vllm-aiter/sweep-final2-c3264/cells.jsonl",
      "sha256": "bd28d65b0d6da7762b6c8602a5213ee4d5601f0318bd6a2c10b59d2bedc71c9d"
    },
    {
      "file": "sweep-sglang-mtp16.jsonl",
      "originalPath": "s3b-sglang-mtp3-c16/sweep-final2/cells.jsonl",
      "sha256": "edae2e965c18190c4e10eb61e20e607892fafeaba5712843884786ba8e878c45"
    },
    {
      "file": "sweep-sglang-mtp8.jsonl",
      "originalPath": "s3-sglang-mtp3/sweep-final2/cells.jsonl",
      "sha256": "9583772f470412b92eb7ea8f8b6c0d42fc53a3561201afd25114dcfdc98fd376"
    },
    {
      "file": "sweep-sglang-no-mtp.jsonl",
      "originalPath": "s5-sglang-nomtp-c64/sweep-final2-c3264/cells.jsonl",
      "sha256": "0e2b5d9b9f44b201d9108e754019b742f9fca42e455c3899e46ebad464a6180d"
    },
    {
      "file": "accuracy-paiton.log",
      "originalPath": "accuracy/paiton-a5-harness-kl.log",
      "sha256": "a2ce0647db44c092d13957a43c653fe69d96025d9c6bb9f43629eb870467bcff"
    },
    {
      "file": "accuracy-quark.json",
      "originalPath": "accuracy/klq-quark-mxfp4/kl_served.json",
      "sha256": "b58d2e0be1a4eac1d7b8bca4e8ebf054f2af8e8f346fa9530c5b9bfa81153159"
    },
    {
      "file": "accuracy-bf16.json",
      "originalPath": "accuracy/klbf16-ctl3-mi355/kl_served.json",
      "sha256": "a89f057109f4e7c4f30ae88855d16461ea934856e90d9eb11b403dff5923eeaf"
    },
    {
      "file": "weight-model-card.md",
      "url": "https://huggingface.co/EliovpAI/Qwen3.8-Flash-Next-W4A8-Paiton-CDNA4/raw/main/README.md",
      "retrieved": "2026-10-30",
      "sha256": "a259addcb459e1689b219d389e3f9bad0a9457bece103b0b915343eac581765d"
    }
  ],
  "decode": {
    "unit": "aggregate output tokens/s",
    "method": "LocalMaxxing 0.1.54 / llm-inference-bench 0.7.7; empty context; 30-second cells; up to 8192 output tokens. Selected whole median-c1 run of three where available; c32/64 comparator extensions are separate runs. Null means not measured, never zero.",
    "rows": [
      {
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        "label": "Paiton CDNA4",
        "values": [
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          2508.6422309896725
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        "sources": [
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        ]
      },
      {
        "id": "vllm",
        "label": "vLLM + AITER",
        "values": [
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          195.3843121247914,
          384.72664349139023,
          602.7865944613228,
          1029.0272364481477,
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        "sources": [
          "lmx-vllm.json",
          "lmx-vllm-c3264.json"
        ]
      },
      {
        "id": "sglang16",
        "label": "SGLang MTP · 16 seqs",
        "values": [
          119.60659852164058,
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          403.47940340831076,
          629.8803271477349,
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        ],
        "sources": [
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        ]
      },
      {
        "id": "sglang8",
        "label": "SGLang MTP · 8 seqs",
        "values": [
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          397.0209419813495,
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        ],
        "sources": [
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        ]
      },
      {
        "id": "sglangNoMtp",
        "label": "SGLang · no MTP",
        "values": [
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        ],
        "sources": [
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        ]
      }
    ]
  },
  "prefill": {
    "unit": "input tokens/s",
    "nominalTokens": [
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      65536
    ],
    "rows": [
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        "source": "lmx-paiton.json",
        "measurements": [
          {
            "nominalTokens": 8192,
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            "hardware_summary": {},
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            "prompt_tokens": 8197,
            "samples": 1,
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              "prompt_tokens": 0,
              "request_prompt_tokens": 0,
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            "tok_per_sec": 13709,
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      {
        "id": "vllm",
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        "measurements": [
          {
            "nominalTokens": 8192,
            "client_tok_per_sec": 7009,
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            "tok_per_sec": 7224,
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        ]
      },
      {
        "id": "sglang16",
        "source": "lmx-sglang-mtp16.json",
        "measurements": [
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            "nominalTokens": 8192,
            "client_tok_per_sec": 11535,
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      {
        "id": "sglang8",
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      {
        "id": "sglangNoMtp",
        "source": "lmx-sglang-no-mtp.json",
        "measurements": [
          {
            "nominalTokens": 8192,
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  },
  "cache": {
    "unit": "GPU KV tokens",
    "configuredContextTokens": 262144,
    "divisorTokens": 32768,
    "method": "Startup-reported cache. Dividing by 32768 is a memory-only illustration, not measured simultaneous-chat capacity. Request-state, output growth and configured running-sequence limits also apply.",
    "rows": [
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        "id": "paiton",
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      {
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        "tokens": 367424,
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      {
        "id": "sglang16",
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        "tokens": 64704,
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  },
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    "userUnit": "tokens/s = reciprocal median TPOT after the first token; not aggregate/concurrency or end-to-end rate",
    "powerUnit": "mean GPU SOCKET_POWER in W; excludes host, PSU and cooling",
    "energyUnit": "output tokens/s per kW of mean GPU power",
    "sampleLimits": "2–128 requests per cell. Sample p99 is not an SLA. Up to max(8,2C) request starts, stopping new starts after 100 seconds; in-flight work finishes. Two 16-output-token warmup rounds.",
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        "outputTokens": 1024,
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                "power_w": 328.3,
                "tok_s_per_kw": 1168.9,
                "ttft_p50_ms": 1025.2,
                "ttft_p99_ms": 2000.7,
                "tpot_p50_ms": 8.5,
                "tpot_p99_ms": 11.2,
                "e2e_p50_ms": 9343.3,
                "e2e_p99_ms": 12137.8,
                "itl_p50_ms": 23.3,
                "itl_p99_ms": 29.4,
                "source": "sweep-sglang-mtp8.jsonl"
              },
              {
                "isl": 8192,
                "osl": 1024,
                "conc": 8,
                "n": 16,
                "errors": 0,
                "wall_s": 29.6,
                "short": 0,
                "out_tok_s": 554.4,
                "user_tok_s": 83.5,
                "power_w": 373.5,
                "tok_s_per_kw": 1484.3,
                "ttft_p50_ms": 1007.6,
                "ttft_p99_ms": 4001.5,
                "tpot_p50_ms": 12,
                "tpot_p99_ms": 18.8,
                "e2e_p50_ms": 13829.4,
                "e2e_p99_ms": 20238.2,
                "itl_p50_ms": 27.86,
                "itl_p99_ms": 516.91,
                "source": "sweep-sglang-mtp8.jsonl"
              },
              {
                "isl": 8192,
                "osl": 1024,
                "conc": 16,
                "n": 32,
                "errors": 0,
                "wall_s": 56.9,
                "short": 0,
                "out_tok_s": 575.5,
                "user_tok_s": 79.2,
                "power_w": 378.6,
                "tok_s_per_kw": 1519.9,
                "ttft_p50_ms": 14067,
                "ttft_p99_ms": 20375.1,
                "tpot_p50_ms": 12.6,
                "tpot_p99_ms": 16.7,
                "e2e_p50_ms": 27521.7,
                "e2e_p99_ms": 33309.5,
                "itl_p50_ms": 27.86,
                "itl_p99_ms": 516.16,
                "source": "sweep-sglang-mtp8.jsonl"
              },
              null,
              null
            ]
          },
          {
            "id": "sglangNoMtp",
            "cells": [
              null,
              null,
              null,
              null,
              null,
              {
                "t_start": 1793209050.5,
                "t_end": 1793209152.6,
                "isl": 8192,
                "osl": 1024,
                "conc": 32,
                "n": 64,
                "errors": 0,
                "wall_s": 102.1,
                "short": 0,
                "out_tok_s": 641.7,
                "user_tok_s": 35.2,
                "power_w": 392.6,
                "tok_s_per_kw": 1634.3,
                "ttft_p50_ms": 8586.4,
                "ttft_p99_ms": 40964.2,
                "tpot_p50_ms": 28.4,
                "tpot_p99_ms": 35.4,
                "e2e_p50_ms": 37495.6,
                "e2e_p99_ms": 74647.9,
                "itl_p50_ms": 24.67,
                "itl_p99_ms": 26.21,
                "source": "sweep-sglang-no-mtp.jsonl"
              },
              {
                "t_start": 1793209218,
                "t_end": 1793209398.5,
                "isl": 8192,
                "osl": 1024,
                "conc": 64,
                "n": 114,
                "errors": 0,
                "wall_s": 180.4,
                "short": 0,
                "out_tok_s": 647.1,
                "user_tok_s": 33.8,
                "power_w": 388.9,
                "tok_s_per_kw": 1664.1,
                "ttft_p50_ms": 49352.2,
                "ttft_p99_ms": 84806.2,
                "tpot_p50_ms": 29.6,
                "tpot_p99_ms": 37.2,
                "e2e_p50_ms": 78152.7,
                "e2e_p99_ms": 115527.1,
                "itl_p50_ms": 24.76,
                "itl_p99_ms": 26.44,
                "source": "sweep-sglang-no-mtp.jsonl"
              }
            ]
          }
        ]
      }
    ]
  },
  "accuracy": {
    "positions": 130,
    "method": "Two long rows (r24/r25), 65 teacher-forced positions each. Top-1024-plus-tail KL against the BF16 reference. Short rows excluded after BF16 control inconsistency. Paiton measured through its harness; Quark through vLLM+AITER. Not task accuracy or the separate full-vocabulary weight-emulation KL.",
    "rows": [
      {
        "id": "bf16",
        "hardware": "MI355X",
        "kl": 0.007694863545343617,
        "top1": 0.9538461538461538,
        "rows": [
          "r24",
          "r25"
        ],
        "source": "accuracy-bf16.json"
      },
      {
        "id": "paiton",
        "hardware": "MI350P",
        "kl": 0.0219415,
        "top1": 0.9307695,
        "rows": [
          "r24",
          "r25"
        ],
        "source": "accuracy-paiton.log"
      },
      {
        "id": "quark",
        "hardware": "MI350P",
        "kl": 0.11406719017357203,
        "top1": 0.8076923076923077,
        "rows": [
          "r24",
          "r25"
        ],
        "source": "accuracy-quark.json"
      }
    ]
  },
  "weightAccuracy": {
    "source": "weight-model-card.md",
    "heldOutTokens": 294912,
    "method": "Full-vocabulary KL from the original BF16 next-token distribution, averaged over text and assistant positions of the held-out set. Emulation of served arithmetic; free routing. Top-1 is next-token agreement, not correct answers. Separate from the 130-position served check. No significant superiority over INT4 is established; no INT4 confidence interval is reported.",
    "rows": [
      {
        "id": "a5",
        "label": "Paiton A5 · CDNA4 FP4",
        "kl": 0.0265,
        "kl95CI": [
          0.0239,
          0.0292
        ],
        "routingLockedKl": 0.0131,
        "top1Percent": 93.78
      },
      {
        "id": "int4",
        "label": "INT4-g128 · RDNA4 recipe",
        "kl": 0.0288,
        "kl95CI": null,
        "routingLockedKl": 0.0135,
        "top1Percent": 93.51
      }
    ],
    "retrieval": [
      {
        "matched": 8,
        "total": 8,
        "contextLabel": "131K"
      },
      {
        "matched": 4,
        "total": 4,
        "contextLabel": "258K"
      }
    ],
    "limits": "Teacher-forced long-context tests, not serving-load validation. Task benchmarks, multilingual quality and tool-calling quality were not measured for this release. Public weights require the proprietary CDNA4 runtime; not an all-hardware validation."
  }
}
