New Delhi, Mar 23: Altos Computing Ltd. announced the launch of its Make-in-India AI server portfolio, marking a significant step toward strengthening India’s sovereign AI and data centre ecosystem.
The announcement was made at a dedicated launch event in New Delhi attended by Sushil Pal, Joint Secretary, Ministry of Electronics and Information Technology, Government of India; Sudhir Goel, Chief Business Officer, Acer India; Vishal Dhupar, Managing Director, Asia South, NVIDIA; PP Sunil Acharya, Senior Director – Global accounts (OEMs & Hyperscalers), Intel India; Jackie Lee, CEO, Altos Computing Inc. and Priya Krishnamurthy, Director, Altos India, alongside media, senior representatives, partners and stakeholders from the technology industry.
The highlight of the event was the unveiling of the Altos BrainSphere™ R300 AI Series Server, the company’s flagship Make-in-India AI server designed to power next-generation AI workloads across enterprises, research institutions, government organizations, and hyperscale data centres. Built for high-performance computing and advanced AI model training and inference, the R300 Series platform supports high-density GPU acceleration, scalable memory architecture, and advanced thermal efficiency, enabling organizations to manage compute-intensive AI workloads while maintaining performance, reliability, and scalability.
Talking about the launch, Harish Kohli, President and Managing Director, Acer India, said,
“India today stands at the threshold of a transformative AI era where powerful computing infrastructure will be the backbone of innovation across industries. With the launch of Altos’ Make-in-India AI server portfolio, we are taking an important step toward building this digital backbone locally. By bringing advanced AI infrastructure manufacturing closer to the Indian market, we are enabling faster deployment, improved accessibility, and greater scalability for enterprises, research institutions, and public sector organisations. Through Altos’ high-performance AI platforms and our strong partner ecosystem, we remain committed to empowering organisations across India to unlock the full potential of AI.”
The launch reflects Altos’ commitment to supporting India’s ambition of becoming a global hub for AI innovation and digital infrastructure. By manufacturing AI servers locally and enabling organizations to deploy powerful computing platforms within the country, the company aims to address the rapidly growing demand for scalable AI infrastructure across sectors, including research, manufacturing, healthcare, and public services.
The launch also highlighted the importance of collaboration within the AI ecosystem.
Speaking at the launch, Sudhir Goel, Chief Business Officer, Acer India, said,
“India is entering a defining decade of digital and AI-led transformation, where the availability of powerful computing infrastructure within the country will play a critical role in enabling innovation. The launch of Altos’ Make-in-India AI servers reflects our commitment to supporting India’s vision of building a strong domestic technology ecosystem under the ‘Make in India’ initiative. By bringing advanced AI infrastructure manufacturing and deployment closer to the Indian market, we aim to empower enterprises, research institutions, startups, and government organizations with the computing power required to build, train, and scale next-generation AI solutions for the nation.”
Highlighting the strategic significance of the launch, Jackie Lee, CEO, Altos Computing Inc., said,
“At Altos Computing, our mission has always been to help organisations harness the power of high-performance computing and AI to solve complex challenges. India represents one of the most dynamic and fastest-growing AI markets globally, with immense potential across enterprise, government, and academia. The introduction of our Make-in-India AI server solutions marks an important milestone as we deepen our presence in the country. By combining our global engineering expertise with local manufacturing capabilities, we are delivering powerful and scalable AI infrastructure solutions that align with India’s long-term technology ambitions.”
During the event, Altos also showcased its broader AI and computing portfolio through an interactive product display arena. Alongside the newly launched R370 AI Series Server, the company demonstrated the Altos R680 AI Server, a high-density computing platform designed for large-scale AI model training and enterprise workloads that require significant computational power.
An AI Wall at the venue highlighted real-world AI use cases powered by Altos infrastructure, featuring the R370, R680, and R380 platforms. These demonstrations showcased how AI servers can enable applications such as predictive analytics, intelligent video analytics, smart manufacturing automation, and advanced research computing.
The display area also featured additional Altos solutions, including P-series edge computing systems, T-series platforms, and interactive flat panel (IFP) displays, highlighting the company’s broader ecosystem of solutions spanning AI infrastructure, edge computing, and enterprise collaboration technologies.
Priya Krishnamurthy, Director, Altos India, said,
“The demand for AI infrastructure in India is growing rapidly as organisations increasingly rely on data-driven intelligence to transform operations and decision-making. With the launch of the Make-in-India R370 AI Series server, we are focused on ensuring that enterprises and institutions in India have access to reliable, high-performance computing platforms designed for modern AI workloads. By manufacturing locally and collaborating closely with partners, developers, and enterprises, we aim to build a strong ecosystem that enables AI adoption at scale and supports India’s journey toward becoming a global AI innovation hub.”
The event concluded with live demonstrations of Altos AI platforms and networking sessions with industry stakeholders, showcasing how advanced computing infrastructure can support India’s rapidly expanding AI and data-driven economy.
