MDDI 演讲稿 · 2026-06-08

杨莉明部长在国家超级计算中心(NSCC)ASPIRE 2B 超级计算机发布仪式上的开幕致辞

杨莉明部长在国家超级计算中心(NSCC)ASPIRE 2B 超级计算机发布仪式上的开幕致辞

Josephine Teo · 数码发展及新闻部长 · 国家超级计算中心(NSCC)ASPIRE 2B 超级计算机发布

要点

  • 新加坡刷新了国家人工智能战略,优先事项包括深化关键经济部门(互联互通、先进制造、医疗保健和金融,共占GDP超40%)的转型、使AI采纳成为常态、以及强化新加坡作为充满活力的AI枢纽的地位。
  • 新加坡承诺投入超过10亿新元用于基础和应用人工智能的公共研究,以及培养研发领域的AI人才。
  • ASPIRE 2B超级计算机配备超过1,500块Nvidia H200 GPU,可提供高达115 petaFLOPs的计算能力,相比ASPIRE 1实现了100倍的计算容量增长。
  • 国家超级计算中心服务超过700名活跃用户,自2024年以来支持了超过1,500个项目,包括海事工程应用如Mencast的AI驱动船用螺旋桨设计平台。
  • MERaLion是全球首个理解东南亚语言、文化和细微差别的多模态模型,覆盖了该地区超过1,000种语言。
  • 第三次全国气候变化研究利用国家超级计算中心资源,为新加坡的城市环境开发了高分辨率模型,用于沿海保护战略。
  • 国家超级计算中心将在2026年集成量子计算机到ASPIRE 2B,以促进分子模拟和先进材料等计算密集型领域的研究。

完整译文(中文)

MDDI 英文原文译文 · 翻译日期: 2026-06-09

新闻室开幕词 部长Josephine Teo在国家超级计算中心(NSCC)推出ASPIRE 2B超级计算机 演讲开幕词 部长Josephine Teo在国家超级计算中心(NSCC)推出ASPIRE 2B超级计算机 2026年6月8日

Tan Chor Chuan教授

Quek Gim Pew先生

Terence Hung博士

各位同事和朋友

午安,感谢诸位邀请我。

十年前,ASPIRE 1作为我们第一台国家超级计算机上线。你们中许多人帮助实现了这一点。

你们的努力使研究社区能够获取高性能计算资源来开展重要工作。这种访问仍然至关重要,特别是在我们对AI的抱负背景下。

正如你们曾听我多次说过的,自《国家AI战略2.0》在大约30个月前启动以来,我们取得了良好进展。

70多家公司在这里建立了卓越中心,并与本地AI社区合作,在新加坡深化他们的能力。

Google DeepMind和Microsoft Research Asia等前沿实验室,以及AMI Labs和Cognition等新兴初创公司已在这里建立了地区团队。他们正在将AI应用于工业,并推进解决艰难的研究问题。

我们的AI用于科学的努力正在解决疫苗开发等紧迫挑战。

这些发展激励我们激活AI生态系统的各个部分,利用AI造福公众,造福新加坡和世界。

就在上个月,我们刷新了《国家AI战略》中确定的10个促进因素的优先级。我们将以三种主要方式支持新加坡下一阶段的AI工作:

首先,深入推进经济关键部门的转型;

其次,使AI采用成为常态而非例外;

第三,强化新加坡作为充满活力的AI枢纽的地位。

我们建立了由总理Lawrence Wong主持的国家AI委员会,以提供战略方向并推进我们的AI议程。

委员会将指导我们在四个关键经济支柱—连接性、先进制造、医疗保健和金融—的国家AI任务,这些支柱共同贡献了我们GDP的40%以上。

它还将为可以成为新加坡「AI冠军」的组织提供有针对性的支持。

研究仍然是我们抱负的基石。

我们致力于AI研究,以更好地理解AI,开发新工具,并使新加坡保持在AI的前沿。

我们同样投入于使用AI的研究。我们将AI视为我们研究社区的倍增器,以重新设计你们的工作流程并加快突破性的发现和应用。

为了支持这些目标,我们承诺投入超过S$1 billion用于资助基础和应用AI的公共研究,以及在R&D中培养AI人才。

同时,我们将增强我们在先进计算中的能力。

在新加坡,NSCC在我们的高等教育机构中支持一个700多名活跃用户的核心社区和一个约9,000名用户的更广泛群体。

自2024年以来的相对较短时间内,NSCC已支持了超过1,500个项目,在研究和工业应用中产生了影响。

例如,在NSCC的支持下,本土海事工程专家Mencast建立了一个海洋推进器设计平台。

该平台结合了AI驱动的设计、优化和高保真模拟,以显著缩短开发周期。

工程师在几天内生成和探索了超过10,000个设计迭代;以前,他们仅生成20个就需要花费数周。

今天,随着ASPIRE 2B的推出,像Mencast这样的许多公司都能从中获益。

与ASPIRE 1相比,ASPIRE 2B将带来计算能力100倍的提升。

它将配备超过1,500块英伟达H200 GPU,可提供高达115petaFLOPs的性能。

当然,这远不及前沿模型开发者可获得的集群规模,但比学术和工业研发通常可用的集群规模要大得多。

无论如何,与其关注数字,我们应该关注我们今后实验的范围和实质。

有了ASPIRE 2B,之前过于庞大的模型现在可以在新加坡进行训练,以满足我们的具体需求。

以前作为近似值运行的模拟现在可以以完整分辨率运行。

之前必须发送到海外的工作负载现在可以使用我们的国家研究基础设施。

让我举三个具体的可能性例子。

第一个是气候——对新加坡这样的岛屿国家来说是一个脆弱领域。

利用NSCC的计算资源,我们的第三次全国气候变化研究制定了针对我们城市环境的高分辨率模型。这些模型对我们设计沿海保护战略和指导2030年新加坡绿色计划下的长期投资决策非常有帮助。

有了ASPIRE 2B,我们可以走得更远。研究人员可以开发结合AI和基于物理的模拟的先进气候建模方法,以实现更高分辨率的预报和更清晰、更细致的气候洞察。

这可以帮助我们更早地预见强降雨和海平面上升,并围绕这些因素规划我们的城市发展和海岸防御。

第二个是确保我们地区的语言、文化和背景得到理解和代表。

您之前听到Terence Hung博士谈论SEA-LION,随后,由A*STAR构建的MERaLion是世界上第一个理解东南亚语言、文化和细微差别的多模态模型。

人们可能没有意识到的是,东南亚语言和文化丰富。实际上在我们地区使用超过1,000种语言。因此,能够将这些语言反映在我们地区运营的公司和机构使用的模型中是非常有价值的。

第三个还在我们前面。正如Hung博士所述,NSCC将在今年向ASPIRE 2B集成一台量子计算机。

将量子和经典系统配对是我们新旅程的开始。

我们不完全知道它能解锁什么。但我们的研究人员可以开始探索分子模拟和先进材料等计算密集型领域。

这将使我们能够很好地进行实验并充分利用量子计算机的优势。

除了计算基础设施外,我们还必须建立人力能力。

即使没有量子计算机,下一代AI技术(如代理AI和物理AI)也将涉及比当今系统更多的计算密集度。

NSCC应该预期会收到更多的支持请求。但正如陈祖强教授所说,这不仅仅是关于拥有更多的能力,还关于拥有满足这些请求的能力。

因此,我非常高兴听到Hung博士谈论NSCC专注于用户赋能的意图,以及为用户赋权充分利用可用的基础设施。

NSCC团队将:

越来越多地被要求管理复杂的计算需求和基础设施;

被要求提供简化的服务,让研究人员及时获得集成AI、模拟和计算能力;以及

我们期待看到它为我们的学生和研究社区配备使用先进计算进行研究和创新的技能。

我们的成功衡量标准不能仅限于硬件的规模。

重要的是我们如何充分利用基础设施——高效地、有效地,为研究社区服务。

人和技能仍将是把硬件可访问性转化为强大的气候模型、药物或工业工具的关键。

因此,我强烈支持NSCC为扩大其影响力而进行的以下工作:

重新审视它与研究社区的互动方式;

寻找新的合作方式和促进创新的途径;以及

主动预期并支持新兴需求。

在过去十年中,NSCC一直是我们研究生态系统不可或缺的伙伴。

我感谢NSCC团队的贡献,期待其取得更大的成功。

谢谢。

英文原文

MDDI 官网原始记录 · 抓取日期: 2026-06-09

Newsroom Opening Address by Minister Josephine Teo at National Supercomputing Centre (NSCC)'s Launch of ASPIRE 2B Supercomputer Speeches Opening Address by Minister Josephine Teo at National Supercomputing Centre (NSCC)'s Launch of ASPIRE 2B Supercomputer 8 June 2026

Professor Tan Chor Chuan

Mr Quek Gim Pew

Dr Terence Hung

Colleagues and friends

Good afternoon and thank you for inviting me.

Ten years ago, ASPIRE 1 came online as our first national supercomputer. Many of you helped to make it happen.

Your efforts have made it possible for the research community to access high performance computing resources to carry out important work. This access remains essential, particularly in the context of our aspirations for AI.

As you have heard me say on several occasions, we have made good progress since the National AI Strategy 2.0 was launched about 30 months ago.

Over 70 companies have set up Centres of Excellence here and are working with the local AI community to deepen their capabilities in Singapore.

Frontier labs like Google DeepMind and Microsoft Research Asia, and emerging start-ups like AMI Labs and Cognition, have established regional teams here. They are putting AI to work in industry and pushing at the hard research questions.

Our AI-for-Science effort is tackling pressing challenges like vaccine development.

These developments are encouraging us to activate every part of our AI ecosystem to harness AI for the Public Good, for Singapore and the World.

Just last month, we refreshed our priorities across the 10 enablers identified in the National AI Strategy. We will be supporting the next bound of Singapore’s AI efforts in three main ways:

First, going deeper in transforming key sectors of our economy;

Second, making AI adoption the norm rather than the exception; and

Third, strengthening Singapore as a vibrant AI hub.

We established the National AI Council, chaired by Prime Minister Lawrence Wong, to provide strategic direction and advance our AI agenda.

The Council will steer our national AI Missions in four key economic pillars – connectivity, advanced manufacturing, healthcare, and finance- which together contribute over 40% of our GDP.

It will also provide targeted support to organisations that can be Singapore’s “Champions of AI”.

Research remains a cornerstone of our ambitions.

We are committed to research about AI, to understand AI better, build new tools, and allow Singapore to remain at the forefront of AI.

We are equally vested in research using AI. We see AI as a multiplier for our research community, to redesign your workflows and speed up breakthrough discoveries and applications.

To support these aims, we have committed over S$1 billion to fund public research into fundamental and applied AI, and to develop AI talent in R&D.

At the same time, we will enhance our capabilities in advanced computing.

In Singapore, NSCC supports a core community of over 700 active users, and a wider group of around 9,000, across our Institutes of Higher Learning.

In the relatively short time since 2024, NSCC has enabled over 1,500 projects, delivering impact across research and industry applications.

For example, with NSCC’s support, homegrown maritime engineering specialist Mencast built a platform for designing marine propellers.

The platform combines AI-driven design, optimisation and high-fidelity simulations to significantly shorten development cycles.

In a matter of days, engineers produced and explored more than 10,000 design iterations; previously, they would have taken weeks just to produce 20.

Today, with the ASPIRE 2B launch, many more companies like Mencast can benefit.

ASPIRE 2B will bring about a 100-fold increase in compute capacity as compared to ASPIRE 1.

It will have more than 1,500 Nvidia H200 GPUs and can deliver up to 115 petaFLOPs.

This is of course nowhere near the cluster sizes available to frontier model developers, but significantly more than the clusters usually available for academic and industrial R&D.

In any case, rather than focusing on the numbers, we should be looking at the scope and substance of our experimentations going forward.

With ASPIRE 2B, models that were previously too large, can now be trained in Singapore to meet our specific needs.

Simulations that ran as approximations can now run at resolution.

Workloads that had to be sent overseas, can now use our national research infrastructure.

Let me give three specific examples of the possibilities.

The first is climate - an area of vulnerability for island states like Singapore.

Drawing on compute from NSCC, our Third National Climate Change Study produced high-resolution models tailored to our urban environment. These models were very helpful for designing our coastal protection strategies and guiding our longer-term investment decisions under the Singapore Green Plan 2030.

With ASPIRE 2B, we can go further. Researchers can develop advanced climate modelling approaches that combine AI and physics-based simulations, for higher resolution forecasting, sharper and more granular climate insights.

This can help us anticipate intense rainfall and rising seas earlier, and plan our urban development and coastal defences around them.

The second is in ensuring that our region’s languages, cultures and contexts are understood and represented.

You heard earlier from Dr Terence Hung who spoke about SEA-LION and subsequently, MERaLion — built by A*STAR, is the world’s first multimodal model that understands Southeast Asian languages, cultures and nuances.

Something that people may not realise is that Southeast Asia is rich in languages and cultures. There are in fact more than 1,000 languages spoken in our region. So, to be able to have these reflected in models that our companies and entities operating in our region use, is something valuable.

The third is still ahead of us. As Dr Hung mentioned, NSCC will integrate a quantum computer to ASPIRE 2B this year.

Pairing quantum and classical systems is the start of a new journey for us.

We don't fully know what it can unlock. But our researchers can start to explore compute-intensive areas like molecular simulation and advanced materials.

This will position us well to experiment and harness the benefits of quantum computers.

Beyond compute infrastructure, we must build human capabilities.

Even without quantum computers, next-generation AI technologies, such as agentic and physical AI, will involve significantly more computational intensity than systems today.

NSCC should expect more requests for support. But as Professor Tan Chor Chuan put it, it is not just about having more capacity. It is also about having the capabilities to meet those requests.

Therefore, I am very glad to hear Dr Hung speak about NSCC’s intention to focus on user enablement, and also to empower your users to make full use of the infrastructure available to them.

The NSCC team will:

Increasingly be tasked to manage complex compute demands and infrastructure;

Be asked to deliver streamlined services where researchers have timely access to integrated AI, simulation and computing capabilities; and

We look forward to seeing it equip our students and research community with the skills to use advanced compute for research and innovation.

Our measure of success cannot be limited to the scale of hardware.

What matters is how well we use the infrastructure — efficiently, effectively, and in service of the research community.

People and skills will still be essential to turn hardware accessibility into robust climate models, medicines, or better tools for industry.

I therefore strongly support NSCC’s focus in parallel to scaling its impact by:

Rethinking how it engages the research community;

Finding new ways to collaborate and enable innovation; and

Leaning forward to anticipate and support emerging needs.

Over the past decade, NSCC has been an indispensable partner to our research ecosystem.

I thank the NSCC team for its contributions and look forward to its greater success.

Thank you.