Iluvatar CoreX Tianyao 300 Benchmarked Against H200: Training Throughput Reaches 1.33x That of H100
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Iluvatar CoreX held its first live demonstration of the Tianyao 300 at a media open day on October 28, claiming that in comparative tests on large language models such as GLM-5.3 as well as text-to-image and text-to-video scenarios, it outperformed the H200 overall. On the training side, in an 8-GPU full-system FP8-precision demonstration based on Qwen3-32B, the Tianyao 300 achieved per-GPU effective throughput 1.33 times that of the H100. The Tianyao 300 was unveiled at this year's World Artificial Intelligence Conference in July, features 144GB of memory, and its IXL144 supernode integrates 144 GPUs with roughly 10.1TB of memory in a single standard rack, reducing the cost per million effective tokens by about 40% compared with mainstream international solutions.
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The report compiles multiple sets of comparison data between Iluvatar CoreX's Tianyao 300 and the H200 in training, inference, and delivery cost, offering a basis for understanding where domestic GPUs currently stand against their benchmarks.
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国产GPU迈出一大步!天数智芯天垓300实测反超NVIDIA H200快科技下载客户端 独家抢先看2026年10月29日 09:55:55 来自河南Updated 2026年10月29日 10:02:25
快科技10月29日消息,据报道,在天数智芯10月28日举办的从模型到世界2026媒体开放日活动,旗下新一代AI芯片天垓300首次面向媒体开放实机演示。
活动现场开放天垓300实机演示,接受与H200在GLM-5.3等大语言模型、文生图、文生视频场景的对比测试,天垓300整体表现均优于H200。
训练方面,在基于Qwen3-32B模型的8卡整机FP8精度训练演示中,天垓300每卡有效吞吐达到H100的1.33倍。
天垓300于今年7月世界人工智能大会上正式发布,采用天数天枢架构,集成新一代Tensor Core,配备144GB显存,原生支持标量、矢量、张量三类计算模式,覆盖FP4、FP8、FP16、BF16等多种数据精度,并支持高速片间互联。
上海仪电今年7月完成的第三方实测显示,在大模型典型的PD分离部署下,天垓300折算单卡整体端到端吞吐达到H200的1.05倍,这是国内首个实测性能达到H200水平的通用GPU。
天数智芯性能实验室的实测进一步覆盖典型业务场景:
在64K长上下文下,天垓300的Attention性能为H200的1.05倍;
GLM-5.3模型64K规模下,保障同等用户体验的同时,MoE吞吐为H200的1.15倍;
8K至128K长上下文场景下Agent首字延迟较H200降低约10%至30%;
多模态生成推理吞吐较H200提升约2%至5%;
在搜广推等在线业务中,推荐推理吞吐提升21%,轻量计算时延降低26%。
规模化交付侧,天垓300已形成从加速卡、一机8卡服务器到超节点的完整系统方案,天垓300 IXL144超节点在单个标准机柜内集成144颗GPU,约10.1TB显存,每百万有效Token成本较国际主流方案可降低约40%。
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