硬刚NVIDIA H100！摩尔线程MTT S5000参数公首次开：80GB显存、单卡算力1千万亿次

快科技02-12

快科技2月12日消息，智谱发布新一代大模型GLM-5之后，摩尔线程立即宣布，在旗舰级AI训推一体全功能GPU MTT S5000上完成了Day-0全流程适配与验证，第一时间提供支持。MTT S5000是摩尔线程专为大模型训练、推理及高性能计算设计的全功能GPU智算卡，基于第四代MUSA架构“平湖”，原生适配PyTorch、Megatron-LM、vLLM、SGLang等主流框架。它早在2024年就...

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Moore thread MTT S5000 parameters are opened for the first time: 80GB video memory, single card computing power 1 petaflops","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"688795":1.95,"NVDS":0.6,"NVD2.UK":0.6,"NVD":0.6,"NVDU":0.6,"NVDG":0.6,"3NVD.UK":0.6,"NVDW":0.6,"NVDA":0.9,"NVII":0.6,"NVDD":0.6,"NVDQ":0.6,"NVDY":0.6,"NVDL":0.6,"DIPS":0.6,"NVDS.UK":0.6,"NVDX":0.6,"SNVD.UK":0.6,"NVIW.SI":0.6,"NVD3.UK":0.6,"2NVD.UK":0.6},"content_text":"快科技2月12日消息，智谱发布新一代大模型GLM-5之后，摩尔线程立即宣布，在旗舰级AI训推一体全功能GPU MTT S5000上完成了Day-0全流程适配与验证，第一时间提供支持。MTT S5000是摩尔线程专为大模型训练、推理及高性能计算设计的全功能GPU智算卡，基于第四代MUSA架构“平湖”，原生适配PyTorch、Megatron-LM、vLLM、SGLang等主流框架。它早在2024年就已经低调推出，但是具体造型、参数、性能一直没有对外公开，非常神秘。这次在宣布适配GLM-5的同时，摩尔线程首次公布了MTT S5000的部分参数和性能，非常惊喜！据悉，MTT S5000单卡配备多达80GB显存，显存带宽高达1.6TB/s，对比上代MTT S4000分别提升了67％、113％，多卡间的互联带宽也有784GB/s。它完整支持从FP8到FP64的全精度计算，而且是国内最早原生支持FP8精度的训练GPU之一，配置了硬件级FP8 Tensor Core加速单元。FP8相比BF16/FP16可将数据位宽减半、显存带宽压力降低50％、理论计算吞吐量翻倍，并全面支持DeepSeek、Qwen等架构，训练性能可提升30％以上。MTT S5000的单卡FP8 AI算力最高可达1000 TFLOPS，首次达到PFLOPS级别，也就是每秒1千万亿次计算。相比之下，MTT S4000的算力为INT8 256 TOPS、BF16 128 TFLOPS、FP32/64 32/64 TFLOPS。据业内人士称，MTT S5000实测性能可以对标NVIDIA H100，尤其是在多模态大模型微调任务中，部分性能更是超越H100，甚至开始接近最新的Blackwell架构。2026年1月，智源研究院基于MTT S5000千卡集群，完成了前沿具身大脑模型RoboBrain 2.5(数千亿参数)的端到端训练与对齐验证，MTT S5000表现出了与H100集群极高的结果一致性，练损失值(loss)差异仅为0.62％，整体训练效果甚至实现小幅超越。另据互联网厂商的场景实测，MTT S5000在典型端到端推理及训练任务中，性能可以达到NVIDIA H20的2.5倍左右。目前，基于MTT S5000的夸娥万卡集群已经落地，浮点运算能力达到10Flops(每秒1千亿亿次计算)，在Dense稠密模型训练中MFU达到60％，在MoE专家模型中维持在40％左右，有效训练时间占比超过90％，训练线性扩展效率达95％。基于原生FP8能力，它能完整复现顶尖大模型的训练流程，Flash Attention算力利用率超过95％，多项关键指标均达到国际主流水平。值得一提的是，MTT S5000在集群通信层面采用独创的ACE技术，将复杂通信任务从计算核心卸载，大幅提升模型算力利用率(MFU)。实测显示，MTT S5000从64卡扩展至1024卡，系统的线性扩展效率保持在90％以上，训练速度随算力增加几乎同步倍增。MTT S5000在推理场景同样表现优异，比如在2025年12月，摩尔线程联合硅基流动基于MTT S5000完成了对DeepSeek-V3 671B满血版的深度适配与性能测试。实测单卡Prefill吞吐超过4000 tokens/s，Decode吞吐超过1000 tokens/s，刷新了国产GPU的推理纪录。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":1,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.36.2","shortVersion":"4.36.2","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2610999859","isCrawlerRequest":true}