MDDI 演講稿 · 2026-06-08

楊莉明部長在國家超級計算中心(NSCC)ASPIRE 2B 超級計算機發布儀式上的開幕致辭

Josephine Teo · 數碼發展及新聞部長 · 國家超級計算中心(NSCC)ASPIRE 2B 超級計算機發布

要點

  • 新加坡重新整理了國家人工智慧戰略,優先事項包括深化關鍵經濟部門(互聯互通、先進製造、醫療保健和金融,共佔GDP超40%)的轉型、使AI採納成為常態、以及強化新加坡作為充滿活力的AI樞紐的地位。
  • 新加坡承諾投入超過10億新元用於基礎和應用人工智慧的公共研究,以及培養研發領域的AI人才。
  • ASPIRE 2B超級計算機配備超過1,500塊Nvidia H200 GPU,可提供高達115 petaFLOPs的計算能力,相比ASPIRE 1實現了100倍的計算容量增長。
  • 國家超級計算中心服務超過700名活躍使用者,自2024年以來支援了超過1,500個專案,包括海事工程應用如Mencast的AI驅動船用螺旋槳設計平臺。
  • MERaLion是全球首個理解東南亞語言、文化和細微差別的多模態模型,覆蓋了該地區超過1,000種語言。
  • 第三次全國氣候變化研究利用國家超級計算中心資源,為新加坡的城市環境開發了高解析度模型,用於沿海保護戰略。
  • 國家超級計算中心將在2026年整合量子計算機到ASPIRE 2B,以促進分子模擬和先進材料等計算密集型領域的研究。

完整譯文(繁體中文)

MDDI 英文原文譯文 · 翻譯日期: 2026-06-09

新聞室開幕詞 部長Josephine Teo在國家超級計算中心(NSCC)推出ASPIRE 2B超級計算機 演講開幕詞 部長Josephine Teo在國家超級計算中心(NSCC)推出ASPIRE 2B超級計算機 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,感謝諸位邀請我。

十年前,ASPIRE 1作為我們第一臺國家超級計算機上線。你們中許多人幫助實現了這一點。

你們的努力使研究社群能夠獲取高效能運算資源來開展重要工作。這種訪問仍然至關重要,特別是在我們對AI的抱負背景下。

正如你們曾聽我多次說過的,自《國家AI戰略2.0》在大約30個月前啟動以來,我們取得了良好進展。

70多家公司在這裡建立了卓越中心,並與本地AI社群合作,在新加坡深化他們的能力。

Google DeepMind和Microsoft Research Asia等前沿實驗室,以及AMI Labs和Cognition等新興初創公司已在這裡建立了地區團隊。他們正在將AI應用於工業,並推進解決艱難的研究問題。

我們的AI用於科學的努力正在解決疫苗開發等緊迫挑戰。

這些發展激勵我們啟用AI生態系統的各個部分,利用AI造福公眾,造福新加坡和世界。

就在上個月,我們重新整理了《國家AI戰略》中確定的10個促進因素的優先順序。我們將以三種主要方式支援新加坡下一階段的AI工作:

首先,深入推進經濟關鍵部門的轉型;

其次,使AI採用成為常態而非例外;

第三,強化新加坡作為充滿活力的AI樞紐的地位。

我們建立了由總理Lawrence Wong主持的國家AI委員會,以提供戰略方向並推進我們的AI議程。

委員會將指導我們在四個關鍵經濟支柱—連線性、先進製造、醫療保健和金融—的國家AI任務,這些支柱共同貢獻了我們GDP的40%以上。

它還將為可以成為新加坡「AI冠軍」的組織提供有針對性的支援。

研究仍然是我們抱負的基石。

我們致力於AI研究,以更好地理解AI,開發新工具,並使新加坡保持在AI的前沿。

我們同樣投入於使用AI的研究。我們將AI視為我們研究社群的倍增器,以重新設計你們的工作流程並加快突破性的發現和應用。

為了支援這些目標,我們承諾投入超過S$1 billion用於資助基礎和應用AI的公共研究,以及在R&D中培養AI人才。

同時,我們將增強我們在先進計算中的能力。

在新加坡,NSCC在我們的高等教育機構中支援一個700多名活躍使用者的核心社群和一個約9,000名使用者的更廣泛群體。

自2024年以來的相對較短時間內,NSCC已支援了超過1,500個專案,在研究和工業應用中產生了影響。

例如,在NSCC的支援下,本土海事工程專家Mencast建立了一個海洋推進器設計平臺。

該平臺結合了AI驅動的設計、最佳化和高保真模擬,以顯著縮短開發週期。

工程師在幾天內生成和探索了超過10,000個設計迭代;以前,他們僅生成20個就需要花費數週。

今天,隨著ASPIRE 2B的推出,像Mencast這樣的許多公司都能從中獲益。

與ASPIRE 1相比,ASPIRE 2B將帶來計算能力100倍的提升。

它將配備超過1,500塊輝達H200 GPU,可提供高達115petaFLOPs的效能。

當然,這遠不及前沿模型開發者可獲得的叢集規模,但比學術和工業研發通常可用的叢集規模要大得多。

無論如何,與其關注數字,我們應該關注我們今後實驗的範圍和實質。

有了ASPIRE 2B,之前過於龐大的模型現在可以在新加坡進行訓練,以滿足我們的具體需求。

以前作為近似值執行的模擬現在可以以完整解析度執行。

之前必須傳送到海外的工作負載現在可以使用我們的國家研究基礎設施。

讓我舉三個具體的可能性例子。

第一個是氣候——對新加坡這樣的島嶼國家來說是一個脆弱領域。

利用NSCC的計算資源,我們的第三次全國氣候變化研究制定了針對我們城市環境的高解析度模型。這些模型對我們設計沿海保護戰略和指導2030年新加坡綠色計劃下的長期投資決策非常有幫助。

有了ASPIRE 2B,我們可以走得更遠。研究人員可以開發結合AI和基於物理的模擬的先進氣候建模方法,以實現更高解析度的預報和更清晰、更細緻的氣候洞察。

這可以幫助我們更早地預見強降雨和海平面上升,並圍繞這些因素規劃我們的城市發展和海岸防禦。

第二個是確保我們地區的語言、文化和背景得到理解和代表。

您之前聽到Terence Hung博士談論SEA-LION,隨後,由A*STAR構建的MERaLion是世界上第一個理解東南亞語言、文化和細微差別的多模態模型。

人們可能沒有意識到的是,東南亞語言和文化豐富。實際上在我們地區使用超過1,000種語言。因此,能夠將這些語言反映在我們地區運營的公司和機構使用的模型中是非常有價值的。

第三個還在我們前面。正如Hung博士所述,NSCC將在今年向ASPIRE 2B整合一臺量子計算機。

將量子和經典系統配對是我們新旅程的開始。

我們不完全知道它能解鎖什麼。但我們的研究人員可以開始探索分子模擬和先進材料等計算密集型領域。

這將使我們能夠很好地進行實驗並充分利用量子計算機的優勢。

除了計算基礎設施外,我們還必須建立人力能力。

即使沒有量子計算機,下一代AI技術(如代理AI和物理AI)也將涉及比當今系統更多的計算密集度。

NSCC應該預期會收到更多的支援請求。但正如陳祖強教授所說,這不僅僅是關於擁有更多的能力,還關於擁有滿足這些請求的能力。

因此,我非常高興聽到Hung博士談論NSCC專注於使用者賦能的意圖,以及為使用者賦權充分利用可用的基礎設施。

NSCC團隊將:

越來越多地被要求管理複雜的計算需求和基礎設施;

被要求提供簡化的服務,讓研究人員及時獲得整合AI、模擬和計算能力;以及

我們期待看到它為我們的學生和研究社群配備使用先進計算進行研究和創新的技能。

我們的成功衡量標準不能僅限於硬體的規模。

重要的是我們如何充分利用基礎設施——高效地、有效地,為研究社群服務。

人和技能仍將是把硬體可訪問性轉化為強大的氣候模型、藥物或工業工具的關鍵。

因此,我強烈支援NSCC為擴大其影響力而進行的以下工作:

重新審視它與研究社群的互動方式;

尋找新的合作方式和促進創新的途徑;以及

主動預期並支援新興需求。

在過去十年中,NSCC一直是我們研究生態系統不可或缺的夥伴。

我感謝NSCC團隊的貢獻,期待其取得更大的成功。

謝謝。

英文原文

MDDI 官網原始記錄 · 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.