Chinese AI chipmaker Iluvatar CoreX has released benchmarks showing its next-generation Tiangai 300 general-purpose GPU outperforming Nvidia's H200 in selected large language model (LLM) inference, long-context processing and multimodal generation workloads.
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Iluvatar CoreX Tiangai 300 tops NVIDIA H200 in select AI inference tests, with long-context and MoE gains
Chinese AI chipmaker Iluvatar CoreX released benchmarks showing its next-generation Tiangai 300 GPU outperforming Nvidia's H200 in selected LLM inference, long-context processing, and multimodal generation workloads. The results highlight gains in long-context and mixture-of-experts (MoE) scenarios, positioning the chip as a competitive alternative in the AI inference market. The announcement reflects ongoing efforts by Chinese firms to challenge Nvidia's dominance in AI hardware.
Provides concrete evidence of a Chinese GPU rivaling Nvidia's H200 in specific AI workloads, offering insight into the competitive landscape and potential alternatives for inference deployments.
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