来源：内容来自半导体芯闻综合。 10月30日，证监会同意摩尔线程智能科技（北京）股份有限公司首次公开发行股票并在科创板上市 的注册申请。 9月26日，上交所官网披露信息显示，摩尔线程智能科技（北京）股份有限公司IPO申请通过审 议。该公司从受理到过会，耗时仅88天。 摩尔线程今年上半年营收超去年全年 公司披露的财务数据显示，2025年上半年，摩尔线程实现7.02亿元的营收，相比之下，2024年的 全年营收仅为4.38亿元。摩尔线程对此解释称，营收大涨得益于市场对大模型训练、推理部署、 GPU云服务等需求大幅提升，以及公司2024年推出的最新一代GPU芯片实现商业化。 营收增长带动盈亏状况好转。2025年上半年，摩尔线程净亏损2.71亿元，同比下降56.02%、环比 减少69.07%。2022年至2024年，摩尔线程归属于母公司所有者的净亏损合计约50亿元，净亏损有 逐年减少的趋势。 摩尔线程预计，最早于2027年可实现合并报表盈利，该盈利包含政府补助带来的收益，扣除该收 益后，2027年将收获微利。2025年至2027年，摩尔线程预估因政府补助带来的收益分别约为2000 万元、2亿元和3亿元。 如果您希望可以 ...

Core Insights - Fireworks AI, a cloud service provider, is negotiating a funding round with a valuation of $4 billion, which represents a more than sevenfold increase from the previous year [1][2] - The company was founded by former engineers from Meta and Google, and has previously raised approximately $77 million from investors including Sequoia Capital and Benchmark [2] Financial Performance - Fireworks' annualized revenue has surpassed $200 million, with a monthly average of $17 million, and is projected to reach $300 million by the end of the year [3] - The company's gross margin is approximately 50%, which is comparable to other inference service providers but lower than the 70%+ margins typical in subscription software businesses [3][5] - Fireworks aims to improve its gross margin to 60% by focusing on GPU optimization [5] Competitive Landscape - NVIDIA has emerged as a new competitor to Fireworks and other GPU cloud service resellers, having launched its own GPU cloud marketplace after acquiring inference service provider Lepton [4] - Fireworks competes with companies like Together AI and Baseten, which also resell NVIDIA-powered cloud servers [4] - The company differentiates itself by offering faster and more cost-effective solutions for customizing and running open-source models compared to traditional cloud service providers like Amazon and Google [3] Strategic Focus - Fireworks is concentrating on optimizing GPU resource utilization to address financial challenges and meet customer demand, which can fluctuate significantly [5] - The CEO emphasized the importance of building tools and infrastructure that enable application developers to customize models and enhance inference quality, speed, and user concurrency [5]