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Articles on agentic inference, AgentX results, chip performance, and ML infrastructure.

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Allagenticagentsagentxamdannouncementasicb200b300benchmarkcanndeepseekdisaggdynamofp4fp8gb200gb300glm5gpuh100h200huaweiinferencekimilatencymi355xminimaxnvfp4nvidianvl72openaiqwenrocmrubinsglangthroughputtilerttrtllmvllmwide-ep
August 25, 2026·2 min read

Qwen3.5 397B on AgentX: B300 FP4 Delivers 12x the Performance per Dollar of H100

What four years of hardware and a 4-bit format buy on a long-context agentic workload

agentxagenticbenchmarkinferenceqwenb300h100h200fp4fp8sglangnvidia
August 25, 2026·2 min read

MI355X versus GB300 NVL72 Inference Performance: 20x Gap on Qwen3.5 SGLang

GatedDeltaNet, a 262k native context, and no AMD competition at all on the same engine

agentxagenticbenchmarkinferenceqwensglangtrtllmnvidiaamd
May 25, 2026·6 min read

AMD MI355X Qwen3.5 397B-A17B Inference: Up to 19x Throughput per GPU in 3 Months on SGLang FP8

From v0.5.8 (Feb) → v0.5.10rc0 (Apr) → v0.5.12 (May), three AITER kernel landings on MI355X plus a TP=8 → TP=2/TP=4 retune push Qwen3.5 8k/1k peak from 1.3k to 6.4k tok/s/GPU and extend the curve out to 75 tok/s/user

benchmarkgpuinferenceqwenamdmi355xsglangrocm
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