Tag: Nvidia

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Technology

Nvidia teams up with Microsoft on new PC chip

Nvidia has introduced a new processor for Windows laptops, deepening its presence in the rapidly expanding artificial intelligence PC market. The chip, developed in partnership with Microsoft, is expected to power a new line of AI-focused laptops from major manufacturers including Dell and HP.

The processor is designed to bring advanced AI capabilities directly to personal computers, enabling users to run complex AI applications without relying heavily on cloud services. The technology is expected to improve performance in areas such as content creation, productivity, language translation, virtual assistants and other AI-driven tasks.

The launch comes as technology companies increasingly focus on integrating artificial intelligence into consumer devices. Industry leaders believe AI-powered PCs could become the next major growth segment in the personal computing market, driving demand for more powerful and efficient processors.

Microsoft has been encouraging hardware partners to develop devices capable of supporting advanced AI features within the Windows ecosystem. Nvidia’s latest offering aligns with that strategy and expands the range of AI hardware available to PC makers.

Dell and HP are among the first companies expected to introduce laptops powered by the new processor. These devices are likely to feature enhanced AI performance, improved energy efficiency and faster processing for AI-related workloads.

The announcement also reflects Nvidia’s broader effort to diversify beyond its dominant position in data centre and graphics processing markets. The company has emerged as a leading player in artificial intelligence infrastructure, and the latest chip represents an attempt to bring that expertise to everyday consumer devices.

With the launch of its new Windows-focused processor, Nvidia is positioning itself at the centre of the evolving AI computing landscape. The company hopes the technology will help drive a new generation of personal computers built around artificial intelligence capabilities.

The move could intensify competition in the AI PC segment, where several chipmakers are seeking to establish an early advantage. As more software applications incorporate artificial intelligence features, demand for specialised processors is expected to rise.

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Corporate

Nvidia profit rises despite China export challenges

NVIDIA reported strong quarterly earnings, showing continued growth in demand for artificial intelligence technologies despite challenges linked to export restrictions and global market conditions. The company’s results once again highlighted its dominant position in the rapidly expanding AI industry.

The company reported revenue of $44.1 billion for the quarter, marking a sharp rise from the previous year as demand for AI chips continued to remain strong. However, the company also said export restrictions on advanced chips to China had affected business operations and led to a significant financial impact.

NVIDIA said it faced an estimated $4.5 billion charge during the quarter related to restrictions on sales of its H20 AI chips to China. The company had earlier indicated that tighter US rules on advanced semiconductor exports could affect sales in one of its important international markets.

Despite these challenges, strong demand from technology companies investing in artificial intelligence infrastructure helped support overall growth. The company’s data-centre business remained a major contributor to revenue, driven by continued spending on AI systems, cloud services and high-performance computing.

 Companies across sectors are increasingly investing in AI tools and infrastructure, creating sustained demand for advanced chips.

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Leaders

Nvidia CEO tells graduates to learn from failure

Jensen Huang, the founder and CEO of Nvidia Corporation, delivered a personal and motivational message to graduating students at Carnegie Mellon University, encouraging them to accept failure as an important part of success.

Speaking at the university’s commencement ceremony, Huang shared lessons from his own journey building Nvidia into one of the world’s most influential technology companies. Instead of focusing only on achievements, he spoke openly about challenges, pressure and setbacks, telling students that difficult moments often shape people the most.

Huang said many people spend their lives trying to avoid failure, but real growth comes from learning how to handle it. He encouraged graduates to remain curious, take risks and continue learning even when things do not go according to plan.

The Nvidia chief also spoke about the rapid rise of artificial intelligence and how it is changing industries across the world. From healthcare and education to robotics and business, Huang said AI will transform the way people work and live. Because of this, he believes adaptability will become one of the most important skills for the next generation.

He reminded students that no career path will remain predictable for long and said people must be ready to constantly learn new skills. According to Huang, success in the future will depend not only on intelligence or technical knowledge, but also on resilience and the ability to adapt quickly.

His speech gained wide attention online as Nvidia continues to play a central role in the global AI boom. The company’s AI chips power many of the world’s leading artificial intelligence systems, helping Nvidia become one of the most valuable technology firms globally.

Students and professionals connected strongly with Huang’s message because of its honest and relatable tone. Rather than presenting success as perfect or effortless, he described it as a journey filled with uncertainty, mistakes and continuous learning.

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Corporate

Roche expands AI computing with Nvidia chips

Swiss pharmaceutical company Roche has significantly expanded its artificial intelligence (AI) infrastructure by purchasing thousands of advanced chips from Nvidia, aiming to accelerate drug discovery and improve the efficiency of its research and development operations.

The company has installed more than 2,000 high-performance graphics processing units (GPUs) across its research centres in the United States and Europe. These chips provide the computing power required to process vast amounts of biomedical data and run complex simulations used in modern drug development.

By expanding its AI computing capacity, Roche plans to speed up several stages of the pharmaceutical research process. Scientists will be able to analyse large clinical and biological datasets faster, design potential drug molecules more efficiently and simulate how treatments may work in the human body before they enter clinical trials.

The investment is part of Roche’s ongoing collaboration with Nvidia to integrate advanced AI tools into pharmaceutical research. The enhanced computing platform will support the development of AI models capable of identifying promising drug targets, predicting outcomes in clinical trials and improving diagnostics.

According to Roche executives, faster computing power is becoming essential in the pharmaceutical industry as companies attempt to shorten the long timelines associated with drug development. Developing a new medicine can often take more than a decade and cost billions of dollars, making technologies that increase research productivity highly valuable.

With the latest deployment, Roche has built one of the largest AI-focused computing infrastructures in the pharmaceutical sector. The company expects the expanded system to help researchers run complex analyses in hours instead of days, allowing teams to test more hypotheses and accelerate scientific discovery.

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Leaders

Jensen Huang projects $1 trillion AI revenue by 2027

Jensen Huang has projected that the artificial intelligence (AI) computing market could generate up to $1 trillion in revenue by 2027, reflecting the rapid expansion of AI infrastructure worldwide.

Speaking at the company’s annual developer conference, Nvidia GTC in San Jose, Huang said the demand for AI chips and data-center systems is rising much faster than previously expected. The estimate is significantly higher than earlier projections and even exceeds the most optimistic forecasts from analysts.

Just last year, Nvidia had suggested that the market opportunity for AI data-center hardware could reach about $500 billion. However, Huang said accelerating investments by major technology companies and cloud providers have pushed the potential market size much higher.

Large technology firms are rapidly building AI infrastructure to train and deploy increasingly powerful AI models. This has led to strong demand for Nvidia’s advanced processors and integrated computing systems used in data centers around the world.

During his keynote address, Huang also introduced new AI platforms designed to support the next generation of computing workloads. These include systems based on Nvidia’s Blackwell architecture and future platforms such as Vera Rubin, aimed at powering large-scale AI data centers.

According to Huang, the AI industry is now entering a new phase focused on AI inference, the stage where trained models are deployed to perform real-time tasks. This includes applications such as digital assistants, automated software systems, robotics, and autonomous machines.

The shift toward inference computing is expected to significantly increase the demand for AI hardware and specialized data-center infrastructure. Nvidia believes this trend will drive the next wave of growth for the semiconductor industry.

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Technology

Nvidia plans AI laptop chips launch in 2026

Nvidia is preparing to launch a new range of artificial-intelligence-focused laptop chips in the first half of 2026, marking a major expansion beyond its traditional graphics processor business.

The upcoming processors are expected to be built on Arm architecture and will combine CPU and GPU functions into a single chip. This integrated design aims to deliver high performance while using less power, making it suitable for thin and lightweight laptops.

The new platform is being developed to run advanced AI features directly on the device. This means tasks such as real-time translation, content creation, smart assistants and image processing can work faster without depending heavily on cloud computing. Running AI locally also improves data privacy and reduces latency.

With this move, Nvidia will enter the laptop CPU market and compete more directly with long-time PC chip leaders Intel and AMD. The launch is expected to be part of a broader industry shift toward so-called AI PCs, computers designed to handle artificial intelligence workloads on the device itself.

The chips are also likely to benefit from Nvidia’s strong AI software ecosystem, which is widely used by developers and enterprises. This could make it easier for laptop manufacturers to introduce AI features in their products.

For the PC industry, the entry of Nvidia into the CPU space could reshape competition by adding a powerful new player with deep expertise in AI computing. For Nvidia, it represents a strategic step toward becoming a full-platform computing company rather than just a GPU supplier.

While the company has not announced an exact launch date, industry reports suggest that laptops powered by these processors could begin appearing in the market sometime in 2026.

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Technology

NVIDIA brings GeForce NOW to Amazon Fire TV

NVIDIA has launched GeForce NOW on Amazon Fire TV Stick, letting users play PC games on their TVs without a console or gaming PC. The service streams games from NVIDIA’s cloud servers, so all processing happens remotely, while the gameplay is sent over the internet.

Supported Fire TV devices include Fire TV Stick 4K Plus (2nd Gen) and Fire TV Stick 4K Max (1st & 2nd Gen). Players need a compatible controller and a stable internet connection to enjoy smooth gameplay. The games stream at 1080p resolution and 60 frames per second, giving TV viewers clear and responsive performance.

Gamers can access titles from popular PC stores like Steam, Epic Games Store, and Battle.net. NVIDIA also added eight new games to the service, including Kingdom Come: Deliverance, Mega Man 11, and the Street Fighter 30th Anniversary Collection.

This launch brings cloud gaming into living rooms, letting people enjoy console-like experiences without extra hardware. Currently, Fire TV streaming is limited to 1080p and does not support HDR or 4K, but it offers an entry-level way to experience PC gaming on a TV.

By expanding to Fire TV, NVIDIA can compete with other cloud gaming platforms like Amazon Luna and Xbox Cloud Gaming, which also focus on TV streaming. The service is rolling out globally, but it is not yet available in India, with plans to expand regionally in the future.

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Leaders

India’s data centres seen as job engine, says Nvidia CEO

India is emerging as a global hotspot for artificial intelligence (AI) and digital infrastructure, drawing recognition and investment from international leaders. United Nations Secretary-General António Guterres praised India for its leadership in AI, noting the country’s role in shaping global AI discussions and promoting inclusive governance.

Nvidia CEO Jensen Huang predicted that India’s AI and data-centre expansion could create a surge in employment, reminiscent of the internet boom. According to Huang, constructing data centres will generate jobs for electricians, plumbers, architects, and project managers. Beyond that, a wide range of indirect roles in operations, supply chains, and startups could also emerge.

The Indian government is supporting this growth with strategic incentives. The 2026 Budget extended tax holidays for foreign companies setting up data centres in India through 2047, aiming to attract massive investment in cloud computing and AI services. Experts in the industry estimate that this could bring in billions of dollars, further strengthening India’s position in the global tech ecosystem.

India is also hosting the India AI Impact Summit 2026 in New Delhi, bringing together global leaders, ministers, technology executives, and academics. The summit will focus on AI governance, capacity building, and international collaboration, including platforms like the Global Digital Compact.

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1 Minute-Read

Nvidia backs CoreWeave with $2bn investment

Nvidia is investing $2 billion in CoreWeave, buying around 23 million shares and becoming its second-largest shareholder. The funding comes with an expanded partnership to accelerate AI-focused data centre development.

CoreWeave, once a crypto miner, now provides high-performance computing to tech firms using Nvidia chips. The investment will help CoreWeave secure land, power, and infrastructure to build over 5 gigawatts of AI compute capacity by 2030, meeting growing demand for AI services.

The announcement lifted CoreWeave shares, while Nvidia stock showed mixed reactions.

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Corporate

Nvidia’s H200 chip blocked in China

Nvidia, led by CEO Jensen Huang, has run into an unexpected hurdle in China, as customs authorities have blocked shipments of the company’s advanced H200 artificial intelligence (AI) chip. The sudden move has forced suppliers to pause production, creating uncertainty for Chinese tech companies eager to use the processor.

The H200 chip, one of Nvidia’s most powerful AI products, had been cleared for export by the US government, and Huang’s team was preparing to start shipments as early as March. Nvidia had also ramped up component production to meet strong demand from Chinese clients.

However, Chinese customs recently informed logistics agents that the H200 would not be allowed into the country. Officials did not give a reason, leaving the company and its partners uncertain whether the block is temporary or part of a broader policy.

Many components made for the H200 are highly specialised and cannot easily be repurposed, prompting suppliers to halt production to avoid building unsellable inventory. Chinese authorities have also reportedly advised local tech firms to avoid buying the chips unless essential, further dampening demand.

Neither Nvidia nor Chinese officials have publicly commented on the blockage. For Huang and his team, the future of H200 shipments to China remains uncertain as the global AI chip trade faces growing complexity.

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