Automate 2026 Opens Monday: NVIDIA Pavilion Marks Humanoid Robot Shift to Production

techtimes.com Jun 22, 2026

Automate 2026 Opens Monday: NVIDIA Pavilion Marks Humanoid Robot Shift to Production

Curated by Shubham · TechCapsules · Jun 22, 2026

AI-summarised brief · reviewed before publication

Automate 2026 opens with a focus on humanoid robots, marking a shift to production with companies like Figure AI and Boston Dynamics achieving significant milestones. Figure AI's BotQ facility has increased its throughput by 24 times in under 120 days, delivering over 350 units. Boston Dynamics has begun commercial shipments of its electric Atlas, with its entire 2026 production run committed to Hyundai and Google DeepMind. The event features a NVIDIA-sponsored pavilion, highlighting the growth of humanoid robotics and its potential applications. Humanoid robots are generating interest across the automation ecosystem, with many attendees expected to learn about the technology's current state and future possibilities, driving innovation and development in the field.

💡 Why It Matters

· NVIDIA's investment in the pavilion signals its commitment to humanoid robots as a key part of its addressable inference market.
· The shift to physical AI enables manufacturers to deploy automation more effectively, overcoming traditional programming limitations and opening up new possibilities for robotics in manufacturing.

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Pharmicell Is the Sole Supplier of a Key Material Behind Doosan Nvidia…

Pharmicell, a Korean company, is the sole supplier of a critical ingredient in Nvidia's AI server circuit boards, providing materials to Doosan, whose end customer is Nvidia. Demand has driven Pharmicell's sales up, with first-quarter revenue from low-dielectric materials rising over 1.5 times from a year earlier. The company expects annual sales of these materials to roughly double this year. Pharmicell's position is difficult to dislodge due to lengthy customer-specific optimization and consecutive evaluations required for new suppliers. A third plant in Ulsan will roughly double capacity once online.

💡 Pharmicell's defensible position in the supply chain gives it a unique advantage, making it a quiet beneficiary of the AI buildout. Its high barrier to entry protects its market share, allowing the company to capitalize on growing demand for AI hardware.

thenewstack.io · Jun 22

“An agent is an LLM and a harness”: What Nvidia really thinks…

Nvidia's Director of Deep Learning Software, Bryan Catanzaro, has shed light on the company's stance regarding OpenClaw, a new open-source project that aims to create a more efficient and scalable deep learning framework. Catanzaro described OpenClaw as "an agent is an LLM and a harness," suggesting a symbiotic relationship between the framework and large language models (LLMs). This statement implies that OpenClaw is designed to work seamlessly with LLMs, potentially unlocking new levels of performance and efficiency in deep learning applications.

💡 Nvidia's endorsement of OpenClaw highlights the growing importance of open-source collaboration in the deep learning space. By embracing OpenClaw, Nvidia is signaling its commitment to advancing the field through community-driven innovation, rather than relying on proprietary solutions. This shift could have significant implications for the development of future AI applications, as open-source frameworks like OpenClaw become increasingly influential in shaping the direction of the industry.

memeburn.com · Jun 21

Amazon Trainium Chips Take Aim at Nvidia

Amazon is in discussions to sell its Trainium processors directly to third-party data centers, a move that could reshape the economics of artificial intelligence infrastructure. Trainium has reached a $20 billion annual revenue run rate, with major commitments from OpenAI, Anthropic, and Uber. Amazon claims Trainium3 can match Nvidia's Blackwell at a lower cost. The company's shift from a "captive silicon" model to direct sales would place it in competition with Nvidia's core business model. Amazon's chip business could be worth $50 billion if operated as a standalone company. The demand for Trainium is outpacing supply, with the third-generation chips largely sold out.

💡 Sovereign AI demand is driving the need for locally controlled computing resources, and Amazon's move addresses this rising international appetite. By selling chips externally, Amazon can tap into the growing demand for AI infrastructure independence from US cloud providers.

tekedia.com · Jun 20

Nvidia’s Self-Learning Robots Mark a New Era in Artificial Intelligence

Nvidia has unveiled a new generation of AI-powered robots that can train themselves through advanced simulation and machine learning technologies. This breakthrough has the potential to reshape manufacturing, logistics, healthcare, and other sectors by creating robots that can adapt to new environments with minimal human intervention. Traditionally, robots required extensive programming and manual training, but Nvidia's approach allows robots to learn through self-training in virtual environments. This innovation combines advanced graphics processing units, machine learning frameworks, and robotics software, enabling robots to learn tasks and make decisions independently, with the potential to reduce deployment times and improve productivity.

💡 Scalability is a major advantage of self-training robots, as a single robot's knowledge can be shared across an entire fleet of machines, dramatically reducing deployment times. Nvidia's technology can help companies quickly respond to changes in product designs or production lines.

nextplatform.com · Jun 19

Everpure’s AI Strategy Is Almost Purely Based On Nvidia

Everpure's chief technology officer Rob Lee announced that the company's AI strategy is largely based on Nvidia, citing the vendor's effectiveness in delivering solutions and getting customers to results. At the Accelerate Conference, Everpure outlined its "data primacy" strategy, including Everpure Data Intelligence, which discovers, classifies, and contextualizes enterprise information. The company also rolled out updates to its Enterprise Data Cloud platform and introduced new features such as Evergreen//One Overdrive and Fusion compliance. Everpure is working with other GPU providers, but its AI solutions are primarily oriented towards Nvidia. The company's reliance on Nvidia comes amid component shortages and price rises. Key updates include universal discovery and AI-ready context.

💡 Nvidia's dominance in the AI space is driving Everpure's strategy, as customers prioritize achieving return on investment over having multiple options. The partnership between Everpure and Nvidia is mutually beneficial, enabling customers to make meaningful use of data and achieve results.

neowin.net · Jun 18

Nvidia GeForce NOW gains support for seven more games as discounts continue

Nvidia has released an update for its GeForce NOW streaming service, adding support for seven new games, including Aphelion and Pro Cycling Manager 26. The service continues to offer discounts, with the 12-month Performance membership reduced to $64.99 and the Ultimate membership to $129.99. Nvidia also confirmed that support for GOG single sign-in and game library is incoming this summer, expanding the platform's compatibility with popular stores. Members can play games with cloud-save functionality, allowing seamless progress across devices.

💡 The discounts and expanding game library on GeForce NOW could attract more subscribers, potentially shifting the balance of power in the cloud gaming market. By offering a more comprehensive gaming experience, Nvidia may be able to differentiate its service from competitors like Game Pass and EA Play.