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Muse Spark Open 816B Β· Chip comparison

Muse Spark Open 816B β€” GB300 NVL72 vs MI355X

Head-to-head AI inference benchmark comparison of GB300 NVL72 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on Muse Spark Open 816B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics β€” same interactions as the main inference chart.

AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX β†’

GB300 NVL72 / MI355X on Muse Spark Open 816B at 68 tok/s/user: 22325 / 8974 tok/s/chip, $0.03 / $0.05 per million tokens. GB300 NVL72 is 62% cheaper per token; GB300 NVL72 delivers 149% more tok/s/chip.

Around the middle of the 30–184 tok/s/user interactivity band, at 107 tok/s/user on Muse Spark Open 816B: GB300 NVL72 runs 19969 tok/s/chip at $0.03/M tokens, MI355X runs 5413 at $0.08/M. GB300 NVL72 is 140% cheaper per token; GB300 NVL72 delivers 269% more tok/s/chip.

Setting 145 tok/s/user as the target on Muse Spark Open 816B, GB300 NVL72 produces 17607 tok/s/chip ($0.04 per million tokens) and MI355X produces 2782 ($0.15). GB300 NVL72 is 311% cheaper per token; GB300 NVL72 delivers 533% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β€” table and chart below update if you change sequence, precision, or model in the controls.)

View performance-per-dollar view β†’

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/chip)
GB300 NVL72:22325.1MI355X:8974.0
GB300 NVL72:19969.0MI355X:5412.7
GB300 NVL72:17606.9MI355X:2781.8
Cost ($/M tok)
GB300 NVL72:$0.029MI355X:$0.046
GB300 NVL72:$0.032MI355X:$0.077
GB300 NVL72:$0.036MI355X:$0.150
tok/s/MW
GB300 NVL72:10530731MI355X:4293757
GB300 NVL72:9419327MI355X:2589817
GB300 NVL72:8305162MI355X:1330995
Concurrency
GB300 NVL72:~19MI355X:~15
GB300 NVL72:~15MI355X:~10
GB300 NVL72:~13MI355X:~1

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

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