#building automations system

[askagamedev]

What build system do AAA studios typically use? I know that Electronic Arts has their own build system, but is this common?

Every major studio I've worked at generally has their own automated build system. These build systems are not shared between projects at the same publisher. This is because each game has its own file structure, asset list, and scripts that must be processed alongside building the code in order to result in a functioning game build. The larger the project/franchise, the more elaborate and powerful these build systems tend to be.

The Call of Duty team, for example, has a build system that allows developers to build the game with a shelved changelist against the current depot on multiple platforms (PS4, PS5, XB1, XSX, PC), and run a full suite of tests on the result in order to validate the changes. The devs are required to run this build and validation process before being allowed to submit their changes in order to ensure stability in the game. The build system is also constantly running in a cycle to compile all of the game's maps and packages for QA to test.

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How Sudolabs brings practical AI solutions to multiple industries

New Post has been published on https://thedigitalinsider.com/how-sudolabs-brings-practical-ai-solutions-to-multiple-industries-2/

How Sudolabs brings practical AI solutions to multiple industries

Can you give us a short intro about Sudolabs? 

Sudolabs started as a digital product agency serving startups, guiding them through idea validation, product discovery, UX/UI design, and software development; we’ve covered the full spectrum.

Currently, we are focusing on enterprise solutions, specializing in AI and Digital Transformation. We help clients identify impactful use cases and ensure the seamless execution of those solutions. 

What inspired Sudolabs to dive into the world of Enterprise AI and Digital Transformation? Can you tell us a bit about the journey so far? 

When we started Sudolabs, we focused on the startup space and had a lot of success there.

Since 2018, we’ve helped start-ups and scale-ups launch over 50 products with a combined valuation of $1.5 billion. These products have raised $200 million across multiple rounds, with backing from top investors like Andreessen Horowitz, SignalFire, and Salesforce Ventures.

Working alongside some of the brightest minds in tech has been incredible.  

The transition to the enterprise segment happened quite naturally. As we grew and brought on some amazing talent, we started working with top Silicon Valley startups, which helped us build a strong reputation. This led to our first enterprise clients from the region reaching out, and we began working on larger, more complex projects.  

Ultimately, we started to explore enterprise verticals in more depth. We have delivered multiple projects, and our clients were quite impressed with our iterative process of building digital

products. We were used to fast-paced environments and quick iterative cycles when it comes to developing products. Our approach was appreciated a lot by our new enterprise clients. 

We also enjoyed the challenges they brought—they pushed us to think bigger and innovate more. Over time, this passion made it clear that diving deeper into Enterprise AI and digital transformation was the right path for us.  

Your transition toward AI and Digital Transformation has surely expanded your playing field — which new verticals have become priorities for you? 

We are, first and foremost, technology pioneers, not confined to any specific vertical. Sudolabs’ expertise lies in understanding emerging technologies, AI trends, and how users interact with these innovations.

Over time, this has naturally led us to have more expertise in certain industries, for instance we have long track-record working with banking institutions, or manufacturing companies. However, our tech expertise is applicable across different segments. 

From finance to manufacturing, how does Sudolabs tailor its approach to meet the unique needs of each industry it serves? 

At Sudolabs, we know that each industry—whether it’s finance, manufacturing, or healthcare— comes with its own unique needs. That’s why we don’t take a one-size-fits-all approach. Instead, we start with a tailored product discovery process that lets us dive deep into each client’s specific challenges and goals before any development begins. 

This discovery phase is crucial because it allows us to understand the ins and outs of their business, identify what’s working well, and spot areas where we can make the biggest impact. For example, in finance, we’re especially mindful of data security and regulatory demands, whereas in manufacturing, we might focus more on optimizing processes through predictive maintenance and AI-powered automation. 

By engaging closely with stakeholders early on, we ensure our solutions are not only technically robust but also genuinely aligned with what matters most to them. This way, we’re creating value that’s practical and meaningful for each industry we serve.

Could you share a behind-the-scenes look at some of the results Sudolabs has achieved for its clients? 

Certainly, we’ve had the chance to work with some amazing clients over the years, but let me share a few of our favorite collaborations. 

For a global steel manufacturer, we developed an AI-driven system to optimize their storage and furnace operations, which reduced their energy and emissions costs by 5%. Hitting ROI within a year, this project has been a great example of how AI can make heavy industry more efficient and sustainable. 

In the customer service, we worked with a major US-based outsourcing company, processing over 1.4 million call transcripts to help automate insights on metrics like handle time and customer satisfaction. By implementing advanced language models, we gave them a powerful tool to pull actionable insights, making their decision-making faster and more data-driven across all their call centers. 

For a major European insurance company, we developed a digital tool for better risk prediction and hazard assessment. It automates geospatial data processing and now supports over 1 million policies across 15 countries, helping more than 700 risk engineers focus on higher-value work and enabling faster, more accurate risk evaluations. It’s also been a big time-saver, freeing up over 20% of underwriting agents’ time. 

And for a marketing client with multiple agencies, we created an AI-powered lead-generation tool that personalizes reports for over 100 marketing use cases. This tool has not only streamlined their MQL process but also boosted engagement by matching customers with the right AI solutions, making lead generation much more efficient. 

AI is a very general term – what technologies do you work with and do you create success for your clients? 

We have expertise working across all key AI domains, as well as data infrastructure setup. In terms of infrastructure, that is a very interesting topic. A lot of people do not realize that in order to utilize

AI tools, you need to set up the right infrastructure to collect and process your data. Without this, you cannot train your Large Language Models or your Machine Learning Models. 

In terms of specific verticals within what people call AI today, we have experience working with LLMs and Gen AI, Traditional Machine Learning and Big Data, and other specialty AI domains, such as Computer Vision. There are multiple use-cases how to utilize all of the aforementioned technologies. 

Numbers speak louder than words—what are some key metrics that illustrate the transformative power of Sudolabs’s work? 

There are individual metrics or KPIs that each our client looks at, however ROI is definitely something what we take into consideration where we try to help our clients define the right business use-cases. For many, the improvements we bring are paying off quickly, and hitting that ROI target shows just how impactful our solutions can be. 

For companies new to AI, adapting can be a big leap. How does Sudolabs guide clients through the transition smoothly? 

We start by getting to know their business inside and out. Our team conducts in-depth assessments to understand their objectives, challenges, and existing processes. This helps us identify where AI can add the most value to their operations. Based on our findings, we develop a tailored AI strategy that aligns with their business goals. This roadmap outlines clear steps, timelines, and measurable milestones, ensuring everyone is on the same page. 

Our experts collaborate closely with our clients’ teams during the implementation phase, ensuring knowledge transfer and addressing any concerns promptly. We design AI systems that grow with our clients’ business. Our solutions are scalable and flexible, allowing them to expand AI capabilities as their needs evolve. Post-implementation, we don’t just walk away. We offer continuous support and maintenance services to ensure the newly adapted technology will be successful. On top of that, we prioritize data security and ethical AI use. 

Beyond delivering solutions, how does Sudolabs engage with communities to foster a broader understanding and excitement around AI? 

We’ve always believed that building a strong community is key, especially in the startup world where having a solid network really matters. So, we started hosting events under the SF Founders Collective, which kicked off in San Francisco and pretty quickly spread to other cities like NYC, Austin, and Salt Lake City. 

These events bring together founders and connect them with top VC experts, so they get practical insights that they can actually use. Lately, we’ve been focusing a lot on AI, diving into real-life applications and making the tech feel more accessible. 

For us, it’s not just about delivering solutions; it’s about creating a community that’s genuinely interested in learning and growing together in this space. We’re building places where founders can connect, share ideas, and hopefully get inspired about where AI can take them next.

In an increasingly competitive field, what do you think truly sets Sudolabs apart as a leader in Enterprise AI? 

What sets us apart as a leader in Enterprise AI Transformation is our personalized and practical approach. We focus on truly understanding each client’s unique challenges and goals, and we tailor our AI solutions to meet those specific needs.

Our team combines deep industry knowledge with advanced AI expertise, ensuring that our strategies are both innovative and grounded in real-world applicability. By emphasizing measurable results and fostering close collaboration, we help our clients successfully navigate AI adoption and achieve meaningful business outcomes. 

If you’re interested in exploring tailored solutions for your business, don’t hesitate to reach out to us: https://sudolabs.com/contact.

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Japan Building Automation System Market Analysis 2031

Japan building automation system market size was valued at USD 4.42 billion in FY2023, which is expected to reach USD 7.6 billion in FY2031, with a CAGR of 7.02% for the forecast period between FY2024 and FY2031, designed to oversee and regulate various aspects of a building, including lighting, security, and HVAC (Heating, Ventilation, and Air Conditioning) systems. In Japan, the BAS industry is experiencing substantial growth driven by the increasing demand for energy-efficient structures and the proliferation of smart homes and buildings. Government initiatives and regulatory measures like the Energy Conservation Law and the Building Standards Act predominantly influence Japan’s BAS market. The government actively promotes the adoption of energy-efficient technologies to curb energy consumption and reduce carbon emissions in buildings.

Furthermore, the rising trend of smart homes and buildings fuels the demand for advanced BAS solutions. These smart structures incorporate a range of sensors and devices that facilitate automated control of lighting, HVAC, security, and other systems. As more homeowners and building proprietors embrace these technologies, the BAS market is poised for significant expansion. Another contributing factor to the BAS market’s growth in Japan is the heightened focus on enhancing indoor air quality and occupant comfort. Advanced BAS systems can monitor and manage indoor air quality parameters, including temperature, humidity, and CO2 levels, ensuring a pleasant and healthy indoor environment.

Rising Demand for Smart Building Technologies 

The Japan Building Automation System (BAS) market is experiencing growth due to the increasing demand for smart building technologies. The technologies aim to optimize performance, reduce energy consumption, and improve occupant comfort. BAS systems provide centralized control and monitoring, driven by factors like energy efficiency, occupant comfort, and IoT devices, advancing the capabilities of smart building technologies. These technologies extend beyond enhancing energy efficiency to encompass building safety and security. By integrating Building Automation Systems (BAS) with access control, video surveillance, and other security systems, smart building solutions are optimizing safety measures. For instance, the Savic-net G5 is a building management system, building upon Azbil’s established expertise in elevating building environments. This system incorporates state-of-the-art IoT, AI, and big data technologies, reflecting Azbil’s dedication to developing innovative solutions that harmonize energy efficiency, occupant comfort, and safety. With this new generation of building management, input from all stakeholders connected to the building is actively encouraged and incorporated, ensuring a comprehensive and holistic approach to building optimization.

Focus on Occupant Comfort 

The emphasis on user comfort is a major trend influencing the Japanese building automation system industry. Property managers and owners are prioritizing occupant comfort to boost building occupants’ productivity and well-being. By offering centralized control and oversight of building systems, including heating, cooling, and lighting, BAS systems play a crucial role in allowing its focus on the comfort of occupants. BAS systems can optimize the indoor environment by adjusting real-time temperature, humidity, and lighting levels based on occupancy and outdoor weather conditions.

Occupancy sensors and other smart building technologies can further enhance occupant comfort by enabling BAS systems to personalize the indoor environment for individual occupants. For example, Johnson Controls relies on the Metasys Building Automation System as the cornerstone of contemporary building energy management effectiveness. This sophisticated, top-tier technology integrates commercial HVAC, lighting, security, and safety systems, enabling seamless communication on a unified platform. This empowers you to access the necessary information to make more intelligent decisions, all while improving the comfort, safety, and productivity of building occupants.

Rising Demand for Security and Safety Solutions

The Japan building automation system (BAS) market is experiencing a surge in demand for security and safety solutions due to concerns about safety in commercial and residential spaces, the increasing incidence of natural disasters, and the global health crisis. The need for robust, reliable BAS systems integrating security measures and emergency response protocols is increasing. Advanced BAS can effectively address touchless access control, occupancy monitoring, and air quality management, making BAS a valuable tool for safeguarding occupants and assets driving the market growth in this area.

In July 2023, Honeywell revealed its partnership with JGC Holdings Corporation, a prominent global engineering firm headquartered in Yokohama, Japan. In this collaboration, Honeywell will supply essential process control and safety instrumented systems for JGC’s innovative green ammonia production facility. This initiative, backed by government funding, is a pioneering pilot project designed to establish an Integrated Control System for the green ammonia chemical plant. Its ultimate objective is positioning green ammonia as a substantial and dependable clean fuel source, aligned with the plant owners’ Net Zero aspirations.

Government Schemes

The Japanese government promises to align with the goals of the Paris Agreement by aiming for carbon neutrality by 2050. Furthermore, the target has been set for reducing greenhouse gas emissions by 46% by 2030 compared to levels from the fiscal year 2013. Recognizing that buildings are responsible for approximately 30% of Japan’s total energy consumption, the government has identified the pressing need to promote energy efficiency and the adoption of renewable energy sources in the building sector. To address these challenges, the Japanese government has amended the Building Energy Efficiency Act, the primary legislation governing energy efficiency in the construction industry. These amendments, collectively known as the “Amended Act,” are set to be implemented gradually between 2023 and 2025. This legislative update underscores the government’s commitment to enhancing energy efficiency and sustainability in the construction and building sectors, aligning with its ambitious targets for reducing greenhouse gas emissions and fostering an eco-friendly future.

Impact of COVID-19

The pandemic had a mixed impact on the Japan building automation system market. On the one hand, the pandemic has accelerated the adoption of smart building technologies, including BAS systems, as building owners and managers seek to improve occupant safety and comfort. Also, the pandemic has highlighted the importance of indoor air quality and ventilation, leading to increased demand for BAS systems that can monitor and control HVAC systems. However, the pandemic led to a slowdown in construction activity and delayed the implementation of new BAS projects. The economic uncertainty caused by the pandemic led building owners and managers to delay investments in new building automation technologies. Additionally, disruptions in global supply chains resulted in shortages of certain BAS components, causing delays and increased costs for some projects. 

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Japan Building Automation System Market: Report Scope

“Japan Building Automation System Market Assessment, Opportunities and Forecast, FY2017-FY2031”, is a comprehensive report by Markets and Data, providing in-depth analysis and qualitative & quantitative assessment of the current state of Japan building automation system market, industry dynamics, and challenges. The report includes market size, segmental shares, growth trends, impact of COVID-19, opportunities, and forecast between FY2024 and FY2031. Additionally, the report profiles the leading players in the industry mentioning their respective market share, business model, competitive intelligence, etc.

Click here for full report- https://www.marketsandata.com/industry-reports/japan-building-automation-system-market

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Building Automation System Market Share, Growth, Trends Analysis by 2030

TheBuilding Automation System Market is expected to grow from USD 84.2 billion in 2023-e to USD 200.6 billion by 2030, at a CAGR of 13.2% during the forecast period. driven by the increasing demand for energy efficiency, enhanced security, and improved comfort in buildings. As urbanization continues to rise and smart city initiatives gain momentum, the BAS market is poised to play a pivotal role in shaping the future of building management.

A Building Automation System is an intelligent network of hardware and software designed to monitor and control a building's mechanical, electrical, and plumbing (MEP) systems. This includes heating, ventilation, and air conditioning (HVAC), lighting, security, and fire safety systems. By integrating these systems into a centralized platform, BAS enables seamless operation, reduces energy consumption, and enhances occupant comfort and safety.

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Key Drivers of the BAS Market

Energy Efficiency and Sustainability: One of the primary drivers of the BAS market is the growing emphasis on energy efficiency and sustainability. Buildings are responsible for a significant portion of global energy consumption, and there is a pressing need to reduce this footprint. BAS solutions help achieve this by optimizing energy use, reducing waste, and lowering greenhouse gas emissions.

Rising Demand for Smart Buildings: The trend towards smart buildings, which are equipped with advanced technologies for automation and control, is another major factor propelling the BAS market. Smart buildings offer enhanced operational efficiency, improved occupant experience, and better resource management, making them highly desirable in both commercial and residential sectors.

Regulatory Compliance and Government Initiatives: Governments across the world are implementing stringent regulations and standards aimed at improving energy efficiency and reducing carbon emissions. These regulations, along with incentives for adopting green building practices, are encouraging the adoption of BAS. Additionally, smart city initiatives are further boosting the demand for advanced building automation technologies.

Technological Advancements: The BAS market is being revolutionized by technological advancements such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing. These technologies enable real-time data collection, predictive maintenance, and remote monitoring, making building management more efficient and responsive.

Enhanced Security and Safety: Security is a critical aspect of building management, and BAS systems play a crucial role in ensuring the safety of occupants. Advanced BAS solutions integrate with surveillance cameras, access control systems, and fire alarms to provide a comprehensive security framework. This integration not only enhances security but also ensures compliance with safety regulations.

Challenges in the BAS Market

Despite the promising growth, the BAS market faces several challenges. High initial costs and the complexity of system integration can be barriers to adoption, especially for small and medium-sized enterprises. Additionally, cybersecurity concerns are increasingly becoming a major issue as more systems become connected to the internet. Ensuring data security and protecting against potential cyber threats is crucial for the continued growth of the BAS market.

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Future Outlook

The future of the BAS market looks bright, with significant growth opportunities on the horizon. As smart cities and sustainable building practices become more prevalent, the demand for BAS solutions is expected to rise. Innovations in AI, IoT, and data analytics will further enhance the capabilities of BAS, making them more efficient, cost-effective, and user-friendly.

Moreover, the growing focus on occupant health and well-being, particularly in the wake of the COVID-19 pandemic, is likely to drive the adoption of BAS. Solutions that improve indoor air quality, monitor occupancy levels, and provide touchless controls will become increasingly important.

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NVIDIA advances AI frontiers with CES 2025 announcements

New Post has been published on https://thedigitalinsider.com/nvidia-advances-ai-frontiers-with-ces-2025-announcements/

NVIDIA advances AI frontiers with CES 2025 announcements

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NVIDIA CEO and founder Jensen Huang took the stage for a keynote at CES 2025 to outline the company’s vision for the future of AI in gaming, autonomous vehicles (AVs), robotics, and more.

“AI has been advancing at an incredible pace,” Huang said. “It started with perception AI — understanding images, words, and sounds. Then generative AI — creating text, images, and sound. Now, we’re entering the era of ‘physical AI,’ AI that can perceive, reason, plan, and act.”

With NVIDIA’s platforms and GPUs at the core, Huang explained how the company continues to fuel breakthroughs across multiple industries while unveiling innovations such as the Cosmos platform, next-gen GeForce RTX 50 Series GPUs, and compact AI supercomputer Project DIGITS. 

RTX 50 series: “The GPU is a beast”

One of the most significant announcements during CES 2025 was the introduction of the GeForce RTX 50 Series, powered by NVIDIA Blackwell architecture. Huang debuted the flagship RTX 5090 GPU, boasting 92 billion transistors and achieving an impressive 3,352 trillion AI operations per second (TOPS).

“GeForce enabled AI to reach the masses, and now AI is coming home to GeForce,” said Huang.

Holding the blacked-out GPU, Huang called it “a beast,” highlighting its advanced features, including dual cooling fans and its ability to leverage AI for revolutionary real-time graphics.

Set for a staggered release in early 2025, the RTX 50 Series includes the flagship RTX 5090 and RTX 5080 (available 30 January), followed by the RTX 5070 Ti and RTX 5070 (February). Laptop GPUs join the lineup in March.

In addition, NVIDIA introduced DLSS 4 – featuring ‘Multi-Frame Generation’ technology – which boosts gaming performance up to eightfold by generating three additional frames for every frame rendered.

[embedded content]

Other advancements, such as RTX Neural Shaders and RTX Mega Geometry, promise heightened realism in video games, including precise face and hair rendering using generative AI.

Cosmos: Ushering in physical AI

NVIDIA took another step forward with the Cosmos platform at CES 2025, which Huang described as a “game-changer” for robotics, industrial AI, and AVs. Much like the impact of large language models on generative AI, Cosmos represents a new frontier for AI applications in robotics and autonomous systems.

“The ChatGPT moment for general robotics is just around the corner,” Huang declared.

Cosmos integrates generative models, tokenisers, and video processing frameworks to enable robots and vehicles to simulate potential outcomes and predict optimal actions. By ingesting text, image, and video prompts, Cosmos can generate “virtual world states,” tailored for complex robotics and AV use cases involving real-world environments and lighting.

Top robotics and automotive leaders – including XPENG, Hyundai Motor Group, and Uber – are among the first to adopt Cosmos, which is available on GitHub via an open licence.

Pras Velagapudi, CTO at Agility, comments: “Data scarcity and variability are key challenges to successful learning in robot environments. Cosmos’ text-, image- and video-to-world capabilities allow us to generate and augment photorealistic scenarios for a variety of tasks that we can use to train models without needing as much expensive, real-world data capture.”

Empowering developers with AI models

NVIDIA also unveiled new AI foundation models for RTX PCs, which aim to supercharge content creation, productivity, and enterprise applications. These models, presented as NVIDIA NIM (Neural Interaction Model) microservices, are designed to integrate with the RTX 50 Series hardware.

[embedded content]

Huang emphasised the accessibility of these tools: “These AI models run in every single cloud because NVIDIA GPUs are now available in every cloud.”

NVIDIA is doubling down on its push to equip developers with advanced tools for building AI-driven solutions. The company introduced AI Blueprints: pre-configured tools for crafting agents tailored to specific enterprise needs, such as content generation, fraud detection, and video management.

“They are completely open source, so you could take it and modify the blueprints,” explains Huang.

Huang also announced the release of Llama Nemotron, designed for developers to build and deploy powerful AI agents.

Ahmad Al-Dahle, VP and Head of GenAI at Meta, said: “Agentic AI is the next frontier of AI development, and delivering on this opportunity requires full-stack optimisation across a system of LLMs to deliver efficient, accurate AI agents.

“Through our collaboration with NVIDIA and our shared commitment to open models, the NVIDIA Llama Nemotron family built on Llama can help enterprises quickly create their own custom AI agents.”

Philipp Herzig, Chief AI Officer at SAP, added: “AI agents that collaborate to solve complex tasks across multiple lines of the business will unlock a whole new level of enterprise productivity beyond today’s generative AI scenarios.

“Through SAP’s Joule, hundreds of millions of enterprise users will interact with these agents to accomplish their goals faster than ever before. NVIDIA’s new open Llama Nemotron model family will foster the development of multiple specialised AI agents to transform business processes.”

Safer and smarter autonomous vehicles

NVIDIA’s announcements extended to the automotive industry, where its DRIVE Hyperion AV platform is fostering a safer and smarter future for AVs. Built on the new NVIDIA AGX Thor system-on-a-chip (SoC), the platform allows vehicles to achieve next-level functional safety and autonomous capabilities using generative AI models.

“The autonomous vehicle revolution is here,” Huang said. “Building autonomous vehicles, like all robots, requires three computers: NVIDIA DGX to train AI models, Omniverse to test-drive and generate synthetic data, and DRIVE AGX, a supercomputer in the car.”

Huang explained that synthetic data is critical for AV development, as it dramatically enhances real-world datasets. NVIDIA’s AI data factories – powered by Omniverse and Cosmos platforms – generate synthetic driving scenarios, increasing the effectiveness of training data exponentially.

[embedded content]

Toyota, the world’s largest automaker, is committed to using NVIDIA DRIVE AGX Orin and the safety-certified NVIDIA DriveOS to develop its next-generation vehicles. Heavyweights such as JLR, Mercedes-Benz, and Volvo Cars have also adopted DRIVE Hyperion.

Project DIGITS: Compact AI supercomputer

Huang concluded his NVIDIA keynote at CES 2025 with a final “one more thing” announcement: Project DIGITS, NVIDIA’s smallest yet most powerful AI supercomputer, powered by the cutting-edge GB10 Grace Blackwell Superchip.

“This is NVIDIA’s latest AI supercomputer,” Huang declared, revealing its compact size, claiming it’s portable enough to “practically fit in a pocket.”

Project DIGITS enables developers and engineers to train and deploy AI models directly from their desks, providing the full power of NVIDIA’s AI stack in a compact form.

Set to launch in May, Project DIGITS represents NVIDIA’s push to make AI supercomputing accessible to individuals as well as organisations.

Vision for tomorrow

Reflecting on NVIDIA’s journey since inventing the programmable GPU in 1999, Huang described the past 12 years of AI-driven change as transformative.

“Every single layer of the technology stack has been fundamentally transformed,” he said.

With advancements spanning gaming, AI-driven agents, robotics, and autonomous vehicles, Huang foresees an exciting future.

“All of the enabling technologies I’ve talked about today will lead to surprising breakthroughs in general robotics and AI over the coming years,” Huang concludes.

(Image Credit: NVIDIA)

See also: Sam Altman, OpenAI: ‘Lucky and humbling’ to work towards superintelligence

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Tags: agentic ai, agents, ai, artificial intelligence, autonomous vehicles, CES, ces 2025, cosmos, dgx, dlss, Gaming, geforce, genai, generative ai, gpu, graphics, hardware, hyperion, llama, models, nemotron, Nvidia, omniverse, physical ai, platforms, project digits, robotics, robots