霸王别姬

周末大利好！1361亿项目集中签约！万亿算力赛道迎来重磅驱动_我的网站

一 |     

    Chinese autonomous driving firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday. 
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets. 
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.
。    　　周末，万亿级规模的算力产业链迎来利好消息！　　8月22日，2026绿色算力（人工智能）大会在内蒙古自治区呼和浩特市举行。

二 | 在此次大会上，呼和浩特、乌兰察布两地与火山引擎、寒武纪等头部企业集中签约13个项目，总投资额1361亿元。签约项目涵盖芯片检测、装备制造、算力中心、词元工厂等多个领域。

三 | 　　大会开幕式上，中国信息通信研究院副院长敖立发布《绿色算力发展研究报告（2026年）》。报告指出，全国一体化算力网加速成形。

四 | 大模型驱动词元经济加速兴起，截至2026年3月，我国日均词元调用量从2024年初约1000亿激增至约140万亿，增长超千倍。

五 | 　　二级市场上，8月初以来，A股算力产业链相关个股持续活跃。有券商指出，AI产业投资逻辑正从模型能力与资本开支竞赛，逐步转向订单、收入及盈利的商业化验证。

六 | 建议持续关注算力服务、国产芯片与超节点，以及具备场景、数据和企业交付能力的B端AI应用厂商。　　总投资1361亿元！13个项目签约　　8月22日，2026绿色算力（人工智能）大会在呼和浩特开幕。大会以“共筑算电协同之路，共商词元经济新局，共创人工智能未来”为主题。　　仪式现场还相继举行了内蒙古自贸试验区数字服务出海（词元出海）综合服务平台建设启动仪式、全国视频大模型算力基地落成仪式。　　据中新社报道，大会集中签约13个项目，签约项目总投资额1361亿元。本次签约的13个项目分落呼和浩特、乌兰察布两地，其中呼和浩特签约8个项目，包括火山引擎GW级园区、寒武纪芯片实验室、海悟算力装备产业园等；乌兰察布签约5个项目，包括火山引擎GW级算力中心、协鑫能科算电协同一体化项目、中国电信数据中心等。　　区别于传统数据中心单纯扩容模式，本次签约的项目实现算力产业链全链条延伸，覆盖上中下游关键环节：上游补齐芯片检测、算力装备制造硬件短板；中游夯实算力中心、算电协同核心配套；下游布局词元交易、人工智能场景应用。这也标志着内蒙古算力产业正式告别单一“机房+电力”的基础服务模式，向完整、闭环的算力全产业链升级。　　另据新华财经消息，会上发布了内蒙古首个可信数据空间（呼和浩特市城市可信数据空间）、城域“毫秒用算”专项行动建设、内蒙古绿色算力产业电力保障能力建设等多项成果，展示了绿色算力与人工智能融合发展的最新进展。

七 | 　　在数据要素流通方面，内蒙古首个可信数据空间（呼和浩特市城市可信数据空间）成果发布。

八 | 在算力网络建设方面，城域“毫秒用算”专项行动建设成果发布。

九 | 内蒙古以呼和浩特为核心构建毫秒算网能力体系，初步达成11项关键指标，包括算力中心毫秒互连、算力资源毫秒接入、算力应用毫秒可达。　　在电力保障方面，内蒙古绿色算力产业电力保障能力建设成果同步发布。目前，蒙西“四横六纵”、蒙东“七横一纵”电力主干网架建设全面完成。呼和浩特、乌兰察布等地供电可靠率已达99.999%。依托智能化调度体系与实时监测系统，能够实现电网运行的精准调控。　　全国一体化算力网加速成型　　据新华社报道，在2026绿色算力（人工智能）大会上，中国信息通信研究院副院长敖立发布《绿色算力发展研究报告（2026年）》。

十 | 　　报告指出，在算力设备绿色化方面，我国算力设备加速向高能效方向迭代升级。截至2026年6月底，我国智能算力规模达2185EFLOPS。液冷散热、高速光互联、新型存储架构等新技术已成为高密度智算中心建设的必备条件，支撑算力产业规模、性能与能效协同发展。　　我国算力载体集约化布局与绿色化转型协同推进。截至2025年底，全国投运标准机架超1373万架，已建成42个万卡级智算集群，八大国家枢纽节点集聚的智能算力规模占全国总量八成以上。绿色低碳水平提升取得积极进展，全国已有160余座数据中心获评4A级及以上绿色数据中心。　　算能协同绿色化方面，算电协同从理念走向实践。

十一 | 顶层政策体系持续完善，算电协同纳入2026年政府工作报告。目前，建成一批算电协同标杆工程，技术与市场机制创新持续突破，电碳算一体化调度技术推动算力负荷柔性参与电网调峰，绿电直连等机制试点落地。2025年我国算力设施用电量达1700亿千瓦时，同比增长约30%。

十二 | 　　算用协同绿色化方面，算力网、词元经济、算力出海等成为新增长极。全国一体化算力网加速成形。大模型驱动词元经济加速兴起，截至2026年3月，我国日均词元调用量从2024年初约1000亿激增至约140万亿，增长超千倍。　　中信建投近日发布的研报指出，2026年以来，AI产业投资逻辑正从模型能力与资本开支竞赛，逐步转向订单、收入及盈利的商业化验证。海外Agent产品率先形成收入增量，云厂商高强度算力投入仍有云收入和在手订单支撑；国内模型在Coding及Agent任务上的能力差距快速收窄，推理效率、Token调用量及产品收入同步提升。展望未来一至两个季度，国产模型迭代、Agent产品升级和旗舰模型重新定价有望共同推进，建议持续关注算力服务、国产芯片与超节点，以及具备场景、数据和企业交付能力的B端AI应用厂商。（文章来源：券商中国）。

十三 |

Current article:http://fcb14t.yaoyaotoutuanmieshaideizun.buzz/18b4x2/fk55j2.html

Published on:00:19:41