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Spingence Collaborates with Cooler Master to Launch AI Factory and Build the Agentic AI Ecosystem

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TAIPEI, July 25, 2025 /PRNewswire/ — Spingence Technology, a long-standing leader in AI solutions for precision manufacturing, today announced a strategic collaboration with Cooler Master, a global leader in thermal solutions. This partnership supports Cooler Master’s “CM AI Dual-Engine Initiative,” aimed at advancing both intelligent manufacturing and operational transformation. By leveraging NVIDIA AI technologies, the two companies are jointly implementing solutions across quality inspection, digital simulation, and enterprise-level agentic AI deployment, realizing a dual vision of enhanced quality and operational efficiency.

AI-Powered Visual Inspection: Launching from the Metropolis Factory

As Cooler Master’s key technical partner in the initial phase of its AI Factory initiative, Spingence has deployed the NVIDIA Metropolis platform, integrating NVIDIA TAO and its AutoML capability to rapidly develop and fine-tune high-precision AOI defect detection models. These models are deployed to live production lines via the NVIDIA Dynamo-Triton, enabling automated inspection of over 20,000 to 40,000 products per month—including high-value series such as NVIDIA GB200, NVIDIA GB300, and NVIDIA Hopper. This significantly improves defect detection rates and consistency at the final inspection stage, providing robust quality assurance for Cooler Master’s premium cooling solutions.

Building an Integrated Production Environment: Toward a Digital Twin Blueprint

As part of Cooler Master’s smart manufacturing roadmap, Spingence is also supporting the launch of a digital twin modeling initiative. Using NVIDIA Omniverse libraries, Spingence provides highly realistic equipment model development, enabling Cooler Master to simulate workstation configurations and production workflows in simulation environments. This Real-to-Simulation approach not only reduces deployment risks but also establishes the necessary data and scenario foundation for future integration of agentic AI models.

Expanding Intelligent Agent Applications: Deploying an Agentic AI Ecosystem

In response to Cooler Master’s strategic drive toward intelligent operations, Spingence leverages its extensive experience in on-premises AI deployment to integrate the NVIDIA Enterprise AI Factory validated design and NVIDIA NIM microservices. This allows multiple LLMs to be modularized and rapidly deployed across various use cases, including knowledge summarization, report generation, and task recommendations. Using NVIDIA technology, Spingence is building agentic AI system with autonomous decision-making, continual learning, and feedback capabilities—laying the groundwork for a Sustainable Digital Workforce and advancing organizational intelligence.

From Strategy to Execution: A Benchmark for AI-Powered Operations

Through this multi-level technical collaboration, Spingence and Cooler Master are not only implementing NVIDIA-native AI solutions across factory and operational domains.

Still, they are also building a replicable smart manufacturing framework. Looking ahead, Spingence will continue to support Cooler Master in scaling AI applications through standardized toolchains and modular deployment models, while extending the solution framework across the broader thermal industry supply chain—creating a compelling demonstration of “building NVIDIA products on the NVIDIA platform.”

With a continued focus on innovation and real-world execution, Spingence is committed to working closely with Cooler Master to set a global benchmark in AI-enabled smart operations.

Media Contact
Veronica Wang / Brand Engagement Manager of Spingence Technology
[email protected] 

SOURCE Spingence Technology Co., Ltd.



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AI and cybersecurity: India’s chance to set a responsible global digital standard

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India’s digital economy is experiencing extraordinary growth, driven by government initiatives, private enterprise, and widespread technological adoption across users from diverse socio-economic backgrounds. Artificial intelligence (AI) is now woven into the fabric of organisational operations, shaping customer interactions, streamlining product development, and enhancing overall agility. Yet, as digitisation accelerates, the nation’s cyber risk landscape is also expanding—fuelled by the very AI innovations that are transforming business.

In a rapidly evolving threat landscape, human error remains a persistent vulnerability. A recent cybersecurity survey revealed that 65% of enterprises worldwide now consider AI-powered email phishing the most urgent risk they face. India’s rapidly growing digital user base and surging data volumes create an environment for increased risks.

Yet, there’s a strong opportunity for India to leverage its unique technical strengths to lead global conversations on secure, ethical, and inclusive digital innovation. By championing responsible AI and cybersecurity, the country can establish itself not only as a global leader but also as a trusted hub for safe digital solutions.

The case for a risk-aware, innovation-led approach

While AI is strengthening security measures with rapid anomaly detection, automated responses, and cost-efficient scalability, these same advancements are also enabling attackers to move faster and deploy increasingly sophisticated techniques to evade defences. The survey shows that 31% of organisations that experienced a breach faced another within three years, underscoring the need for ongoing, data-driven vigilance.

Globally, regulators are deliberating on ensuring greater AI accountability, frameworks with tiered risk assessments, data traceability, and demands for transparent decision-making, as seen in the EU AI Act, the National Institute of Standards and Technology’s AI Risk Management Framework in the US, and the Ministry of Electronics and Information Technology’s AI governance guidelines in India.

India’s digital policy regime is evolving with the enactment of the Digital Personal Data Protection Act and other reforms. Its globally renowned IT services sector, increasing cloud adoption, and digital solutions at population scale are use cases for nations to leapfrog in their digital transformation journey. However, there is a continued need for collaboration for consistent standards, regulatory frameworks, and legislation. This approach can empower Indian developers as they build innovative and compliant solutions with the agility to serve Indian and global markets.

Smart AI security: growing fast, staying steady

The survey highlights that more than 90% of surveyed enterprises are actively adopting secure AI solutions, underscoring the high value organisations place on AI-driven threat detection. As Indian companies expand their digital capabilities with significant investments, security operations are expected to scale efficiently. Here, AI emerges as an essential ally, streamlining security centres’ operations, accelerating response time, and continuously monitoring hybrid cloud environments for unusual patterns in real time.

Boardroom alignment and cross-sector collaboration

One encouraging trend is the increasing involvement of executive leadership in cybersecurity. More boards are forming dedicated cyber-risk subcommittees and embedding risk discussions into broader strategic conversations. In India too, this shift is gaining momentum as regulatory expectations rise and digital maturity improves.

With the lines between IT, business, and compliance blurring, collaborative governance is becoming essential. The report states that 58% of organisations view AI implementation as a shared responsibility between executive leadership, privacy, compliance, and technology teams. This model, if institutionalised across Indian industry, could ensure AI and cybersecurity decisions are inclusive, ethical, and transparent.

Moreover, public-private partnerships — especially in areas like cyber awareness, standards development, and response coordination — can play a pivotal role. The Indian Computer Emergency Response Team (CERT-In), a national nodal agency with the mission to enhance India’s cybersecurity resilience by providing proactive threat intelligence, incident response, and public awareness, has already established itself as a reliable incident response authority.

A global opportunity for India

In many ways, the current moment represents a calling to create the conditions and the infrastructure to lead securely in the digital era. By leveraging its vast resource of engineering talent, proven capabilities in scalable digital infrastructure, and a culture of economical innovation, India can not only safeguard its own digital future but also help shape global norms for ethical AI deployment. This is India’s moment to lead — not just in technology, but in trust.

This article is authored by Saugat Sindhu, Global Head – Advisory Services, Cybersecurity & Risk Services, Wipro Limited.

Disclaimer: The views expressed in this article are those of the author/authors and do not necessarily reflect the views of ET Edge Insights, its management, or its members



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Nvidia says GAIN AI Act would restrict competition, likens it to AI Diffusion Rule

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If passed into law, the bill would enact new trade restrictions mandating exporters obtain licenses and approval for the shipments of silicon exceeding certain performance caps [File]
| Photo Credit: REUTERS

Nvidia said on Friday the AI GAIN Act would restrict global competition for advanced chips, with similar effects on the U.S. leadership and economy as the AI Diffusion Rule, which put limits on the computing power countries could have.

Short for Guaranteeing Access and Innovation for National Artificial Intelligence Act, the GAIN AI Act was introduced as part of the National Defense Authorization Act and stipulates that AI chipmakers prioritize domestic orders for advanced processors before supplying them to foreign customers.

“We never deprive American customers in order to serve the rest of the world. In trying to solve a problem that does not exist, the proposed bill would restrict competition worldwide in any industry that uses mainstream computing chips,” an Nvidia spokesperson said.

If passed into law, the bill would enact new trade restrictions mandating exporters obtain licenses and approval for the shipments of silicon exceeding certain performance caps.

“It should be the policy of the United States and the Department of Commerce to deny licenses for the export of the most powerful AI chips, including such chips with total processing power of 4,800 or above and to restrict the export of advanced artificial intelligence chips to foreign entities so long as United States entities are waiting and unable to acquire those same chips,” the legislation reads.

The rules mirror some conditions under former U.S. President Joe Biden’s AI diffusion rule, which allocated certain levels of computing power to allies and other countries.

The AI Diffusion Rule and AI GAIN Act are attempts by Washington to prioritise American needs, ensuring domestic firms gain access to advanced chips while limiting China’s ability to obtain high-end tech amid fears that the country would use AI capabilities to supercharge its military.

Last month, U.S. President Donald Trump made an unprecedented deal with Nvidia to give the government a cut of its sales in exchange for resuming exports of banned AI chips to China.



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AI will reshape internet, create jobs in West Virginia says High Technology Foundation's Estep – WV News

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AI will reshape internet, create jobs in West Virginia says High Technology Foundation’s Estep  WV News



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