Nvidia Completes Acquisition of Run:ai, Plans to Open-Source AI Infrastructure Software

Nvidia Completes Acquisition of Israeli AI Firm Run:ai

US-based chipmaker Nvidia recently completed its acquisition of Run:ai, an Israeli artificial intelligence firm, as per a release from the latter. The chipmaker reportedly acquired the firm in a $700 million deal. On its blog, Run:ai said it would turn its software open-source to "help the community build better AI, faster." It further noted that even though it operates exclusively on Nvidia Graphics Processing Units (GPUs) at the moment, "open sourcing the software will enable it to extend its availability to the entire AI ecosystem." This comes after the European Commission in 2024 warned that the deal would risk competition in markets where the companies operated. It also faced opposition from the US Department of Justice, which issued subpoenas to several companies, including Nvidia, as part of its probe into potential antitrust violations. It highlighted concerns around the integration of Nvidia chips with Run:ai software, and whether that would make it more difficult for customers to switch to market competitors. On the EU front, the European Commission in December granted unconditional approval to the deal after its investigation concluded that the acquisition would not raise any competition concerns. While the US Federal Trade Commission (FTC) and the Department of Justice scrutinised multiple deals in 2023 and 2024, neither of the US Government bodies went so far as to bring a stop to tech deals through the means of enforcement action. Regulators in the country, however, have adopted a stern attitude towards acquisitions such as the one in question, with previous examples like the FTC opposing Nvidia's purchase of Arm, Meta's purchase of Within and Microsoft's purchase of Activision in the past. The situation appears to be different in Run:ai's native Israeli market, wherein regulation from the Israeli Competition Authority (ICA) occurs through avenues such as administrative and criminal enforcement using ICA's own policy, legislative changes, and relevant case law. Examples in this domain would include ICA's imposition of a 6.5 month jail term to the defendant, the Deputy CEO of Israel-based Al-Red Elevator in January 2023, following his confession - as part of a plea bargain - of having partaken in a cartel between several companies in the sector.

Nvidia to open-source Run:ai following acquisition

The European Commission has found that Nvidia's acquisition of the company will not raise competition concerns in the European Economic Area. US multinational chip manufacturing company Nvidia has finalised its acquisition of Israeli software company Run:ai and will open-source its software, following the culmination of an investigation launched by the European Commission. Nvidia agreed to acquire Run.ai in April of last year for a reported $700m, with the move made official in late December. However, earlier in the year, the company was the subject of an investigation by the European Commission regarding risks around market competitiveness. Instigated by the Italian competition watchdog, the complaint suggested that the acquisition of Run:ai by the chipmaker giant could negatively impact Italy and the wider European market. Since then, the European Commission has stated that "the transaction does not reach the notification thresholds set out in the EUMR as Run:ai's current revenues are negligible" and that unconditionally under EU Merger Regulation the transaction would raise no competition concerns in Italy or the European Economic Area. The joining of the two companies and the open sourcing will enable Nvidia to offer consumers a wider array of software for AI infrastructure. In a statement released by Run:ai a spokesperson said, "this marks the conclusion of one extraordinary chapter in Run:ai's journey and the beginning of an exciting new one in a new home". The platform welcomed the opportunity to expand the AI ecosystem, adding, "we plan to open source the Run:ai software to help the community build better AI, faster. While Run:ai currently supports only Nvidia GPUs, open sourcing the software will enable it to extend its availability to the entire AI ecosystem." 2024 was a strong year for Nvidia, as the organisation saw itself become the most valuable company in the world, surpassing Apple and Microsoft. The platform also established a number of key partnerships, for example with fintech firm Stripe and Dublin-based quantum computing company Equal1. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

Nvidia completes acquisition of AI infrastructure startup Run:ai

Nvidia has completed its acquisition of Run:ai, an Israeli startup that helps manage and optimize AI hardware infrastructure. As part of the merger, Run:ai said its software, which currently only works with Nvidia products, will be open sourced, meaning Nvidia rivals like AMD and Intel will be able to adapt it for their hardware. "We are eager to build on the achievements we've obtained until now, expand our talented team, and grow our product and market reach," Run:ai told Bloomberg in a statement. "Open sourcing the software will enable it to extend its availability to the entire AI ecosystem." Nvidia announced its intent to acquire Run:ai in April. At the time, sources told TechCrunch that the price tag was $700 million. But the deal ran into regulatory hurdles. The European Commission and U.S. Department of Justice launched separate investigations into whether Nvidia's purchase would harm competition.

Nvidia Closes Acquisition of Israeli Software Startup Run:ai

Run:ai's software will now be open-sourced Nvidia has not disclosed the deal's value Run:ai was founded in 2018 Nvidia has completed the acquisition of Israeli startup Run:ai, gaining software that helps owners of intelligence computing gear get the best out of their hardware. The software -- which currently works on only Nvidia-based systems -- will be open-sourced, meaning that others will be able to take the code and use it to tune computers that use hardware from Nvidia's rivals, Run:ai said in a posting on its website. "We are eager to build on the achievements we've obtained until now, expand our talented team, and grow our product and market reach," Run:ai said. "Open sourcing the software will enable it to extend its availability to the entire AI ecosystem." Nvidia has become one of the world's most-valuable companies by winning the race to provide crucial parts of data centers that run AI-based services. While other chipmakers have posted rapid growth in the area, none have come close to rivaling the tens of billions of dollars a quarter Nvidia rakes in from sales of accelerator chips. Nvidia declined to comment on the deal's value. Israeli newspaper Calcalist reported in April that the value of the transaction was $700 million (roughly Rs. 5,990 crore). Nvidia's last major deal in Israel was the $7 billion (roughly Rs. 59,904 crore) acquisition of Mellanox Technologies Ltd. in 2020. Run:ai has been a close collaborator with Santa Clara, California-based Nvidia since 2020, Nvidia said when it announced the deal in April. Run:ai was founded in 2018 by Omri Geller and Ronen Dar. © 2024 Bloomberg LP

Nvidia Completes Acquisition of AI Startup Run:AI

The acquisition strengthens Nvidia's AI-driven solutions and accelerated computing infrastructure. Chipmaker Nvidia has completed its acquisition of Israeli AI startup Run:AI, the startup announced on Monday, after undergoing antitrust scrutiny for the deal. "This marks the conclusion of one extraordinary chapter in Run:ai's journey and the beginning of an exciting new one in a new home," the GPU Orchestration Software Provider said on December 30. Also Read: Jio Platforms Working with Nvidia to Democratise AI in India: Report The European Commission reportedly granted unconditional approval to Nvidia's USD 700 million bid for Run:ai earlier in December, after saying in October that the deal would require EU antitrust clearance. In April, Nvidia announced it had entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. According to Nvidia, the startup promotes efficient cluster resource utilisation for AI workloads across shared accelerated computing infrastructure. Run:ai enables enterprise customers to manage and optimise their compute infrastructure, whether on-premises, in the cloud or in hybrid environments. Run:ai's customers include some of the world's largest enterprises across multiple industries, which use the Run:ai platform to manage data-center-scale GPU clusters. "We will continue to strengthen our partnerships and work alongside the ecosystem to deliver a wide variety of AI solutions and platform choices," Run:ai said in a blog post. Also Read: Nvidia Accelerates AI Integration in Medical Imaging with MONAI Run:ai plans to open source the Run:ai software to help the community build better AI, faster. "While Run:ai currently supports only Nvidia GPUs, open-sourcing the software will enable it to extend its availability to the entire AI ecosystem," it said. "Run:ai's solutions are already integrated with Nvidia DGX, Nvidia DGX SuperPOD, NVIDIA Base Command, NGC containers, and Nvidia AI Enterprise software, among other products," Nvidia said at the time of the announcement on April 24. "AI and accelerated computing are transforming the world at an unprecedented pace, and we believe this is just the beginning. GPUs and AI infrastructure will remain at the forefront of driving these transformative innovations and joining Nvidia provides us with an extraordinary opportunity to carry forward a joint mission of helping humanity solve the world's greatest challenges," Run:ai said on Monday.

Nvidia closes $700M Run:ai acquisition after regulatory hurdles

Chipmaker Nvidia has completed its acquisition of Israeli AI firm Run:ai, the startup said on Monday, following antitrust scrutiny over the buyout. The European Commission granted unconditional approval to Nvidia's $700 million bid for Run:ai, which helps developers optimize infrastructure for AI, earlier in December after saying in October that the deal would require EU antitrust clearance. The EU antitrust watchdog had warned that the deal threatened competition in the markets where the companies operate. Its probe into the deal focused on practices that could strengthen Nvidia's control over the market for graphics processing units (GPUs), which are the sought-after chips often employed in AI-linked tasks. Nvidia dominates the market for AI graphics processors and commands about 80% of its share. However, the European Commission concluded earlier in December that Run:ai's acquisition, originally announced in April, would not raise competition concerns. The U.S. Department of Justice is also investigating the chip giant's buyout of Run:ai on antitrust grounds, Politico had reported in August. Regulators on both sides of the Atlantic have recently stepped up their scrutiny of tech giants' acquisitions of startups on concerns that such deals may shut down potential rivals. Run:ai plans to make its software open-source, it said in a blog post. "While Run:ai currently supports only Nvidia GPUs, open sourcing the software will enable it to extend its availability to the entire AI ecosystem," it said.

Nvidia closes $700 million Run: ai acquisition after regulatory hurdles

(Reuters) - Chipmaker Nvidia has completed its acquisition of Israeli AI firm Run:ai, the startup said on Monday, following antitrust scrutiny over the buyout. The European Commission granted unconditional approval to Nvidia's $700 million bid for Run:ai, which helps developers optimize infrastructure for AI, earlier in December after saying in October that the deal would require EU antitrust clearance. The EU antitrust watchdog had warned that the deal threatened competition in the markets where the companies operate. Its probe into the deal focused on practices that could strengthen Nvidia's control over the market for graphics processing units (GPUs), which are the sought-after chips often employed in AI-linked tasks. Nvidia dominates the market for AI graphics processors and commands about 80% of its share. However, the European Commission concluded earlier in December that Run:ai's acquisition, originally announced in April, would not raise competition concerns. The U.S. Department of Justice is also investigating the chip giant's buyout of Run:ai on antitrust grounds, Politico had reported in August. Regulators on both sides of the Atlantic have recently stepped up their scrutiny of tech giants' acquisitions of startups on concerns that such deals may shut down potential rivals. Run:ai plans to make its software open-source, it said in a blog post. "While Run:ai currently supports only Nvidia GPUs, open sourcing the software will enable it to extend its availability to the entire AI ecosystem," it said. (Reporting by Arsheeya Bajwa in Bengaluru and Max Cherney in San Francisco; Editing by Shreya Biswas)

Nvidia completes $700M Run:ai acquisition following antitrust scrutiny - SiliconANGLE

Nvidia completes $700M Run:ai acquisition following antitrust scrutiny Nvidia Corp. has completed its acquisition of Run:ai, a startup with software that helps enterprises run their artificial intelligence workloads using less hardware. The deal drew scrutiny from antitrust regulators in both the U.S. and the European Union. Nvidia announced plans to acquire Run:ai, officially Runai Labs Ltd, in April. TechCrunch reported at the time that the deal was worth $700 million. Run:ai previously raised $118 million in venture funding from Tiger Global and other investors. Run:ai's namesake software platform reduces the number of graphics processing units necessary to power AI workloads. It does so by applying performance optimizations that make neural networks more efficient. According to Run:ai, AI infrastructure powered by its software can run ten times as many AI workloads as would otherwise be possible. One major source of inefficiency in GPU clusters is hardware underutilization. A chip might, for example, run an AI model that uses only 60% of its computing capacity when it could run two smaller models that together use 75%. Run:ai's platform automatically distributes workloads across GPUs in a way that maximizes hardware efficiency. According to the company, its platform optimizes AI clusters in other ways as well. Run:ai avoids memory collisions, errors that emerge when two workloads attempt to access a certain section of the GPU's memory at the same time. Such errors can slow down processing if they're left unaddressed. Run:ai also avoids situations where a demanding workload uses hardware resources allocated to other applications and thereby slows them down. Alongside its core infrastructure optimization features, Run:ai provides developer tools. The platform includes open-source large language models, frameworks that allow software teams to build their own neural networks and related components. Users may mix and match those components into software bundles that can be quickly installed on GPUs to create a development environment. Justice Department and EU officials began looking into the acquisition shortly after Nvidia announced it. According to Politico, the Justice Department's probe focused on the fact that Run:ai allows companies to run AI models using fewer GPUs than would otherwise be needed, which means they have to buy less Nvidia hardware. Officials were reportedly concerned that the chipmaker bought Run:ai in a bid to "bury a technology that could curb its main profit engine." Nvidia plans to open-source Run:ai's platform following the acquisition, the latter company announced in a blog post today. That should alleviate concerns that the chipmaker might limit access to the software. "While Run:ai currently supports only NVIDIA GPUs, open sourcing the software will enable it to extend its availability to the entire AI ecosystem," Run:ai co-founders Ronen Dar and Omri Geller wrote in the post. This hints the goal is to add support for third-party AI chips that compete with Nvidia's graphics cards. Besides open-sourcing the software, the chipmaker also plans to enhance its feature set. Dar and Geller wrote that Run:ai plans to grow its "product and market reach," as well as hire more workers to support the effort.

Nvidia finalizes acquisition of AI software firm Run:ai, takes software open source - company reportedly cost $700 million

Nvidia has finally completed its acquisition of Run:ai, which has been in the works since April when the GPU giant announced it wanted to purchase the AI software company. Run:ai offers GPU orchestration software to organize groups of GPUs more efficiently and has been a close partner with Nvidia since 2020; in fact, the only GPUs Run:ai currently supports are those made by Nvidia. The company was founded in 2018, around the same time Nvidia started dipping its toes into artificial intelligence with technologies like deep learning supersampling. The company says it will open-source its software. Neither company has confirmed the deal's worth, but Nvidia reportedly spent around $700 million to acquire Run:ai. Given that Nvidia has been so crucial for the AI industry with respect to hardware, it's not surprising that the green giant is also emphasizing software, which represents vertical integration for Nvidia's business. However, the GPU company already has a pretty good grip on software, thanks to its closed-source CUDA software, which has been around since 2007. CUDA has been a major advantage for Nvidia thanks to its entrenchment in the industry, and open-source competitors like AMD's ROCm have struggled to find an opening. The Run:ai acquisition could have increased the size of Nvidia's walled garden even further, but Run:ai founders Omri Geller and Ronen Dar say that won't be happening. "True to our open-platform philosophy, as part of NVIDIA, we will keep empowering AI teams with the freedom to choose the tools, platforms, and frameworks that best suit their needs," a press release written by the duo reads. "We will continue to strengthen our partnerships and work alongside the ecosystem to deliver a wide variety of AI solutions and platform choices." The two say they also plan on making Run:ai's software open source, but no hard details were given with respect to what that would actually look like and when it would happen. Why Nvidia would make Run:ai open source only after it completed the acquisition is unclear. It might have been a condition set by Run:ai itself since Geller and Dar cite their "open-platform philosophy" in their joint statement. Open-sourcing the software might also have helped convince regulators to allow the acquisition to go through, as Nvidia faced heavy scrutiny in both the US and the EU. However, there might be a caveat to open-source Run:ai software: It isn't clear whether Nvidia will offer expanded services with open source Run:ai software. No matter how it goes, however, it seems Nvidia has expanded its influence in AI even further. That could pressure AMD and Intel, the two main rivals of Nvidia in the GPU space, to respond in some way, perhaps with their own acquisitions or partnerships.

Nvidia Closes Acquisition of Israeli Software Startup Run:ai

(Bloomberg) -- Nvidia Corp. has completed the acquisition of Israeli startup Run:ai, gaining software that helps owners of intelligence computing gear get the best out of their hardware. The software -- which currently works on only Nvidia-based systems -- will be open-sourced, meaning that others will be able to take the code and use it to tune computers that use hardware from Nvidia's rivals, Run:ai said in a posting on its website. "We are eager to build on the achievements we've obtained until now, expand our talented team, and grow our product and market reach," Run:ai said. "Open sourcing the software will enable it to extend its availability to the entire AI ecosystem." Nvidia has become one of the world's most-valuable companies by winning the race to provide crucial parts of data centers that run AI-based services. While other chipmakers have posted rapid growth in the area, none have come close to rivaling the tens of billions of dollars a quarter Nvidia rakes in from sales of accelerator chips. Nvidia declined to comment on the deal's value. Israeli newspaper Calcalist reported in April that the value of the transaction was $700 million. Nvidia's last major deal in Israel was the $7 billion acquisition of Mellanox Technologies Ltd. in 2020. Run:ai has been a close collaborator with Santa Clara, California-based Nvidia since 2020, Nvidia said when it announced the deal in April. Run:ai was founded in 2018 by Omri Geller and Ronen Dar.

Nvidia open-sources Run:ai, the software it acquired for $700M to help companies manage GPUs for AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia has completed its acquisition of Run:ai, a software company that makes it easier for customers to orchestrate GPU clouds for AI. The purchase price wasn't disclosed, but was pegged by reports at $700 million when Nvidia first reported its intent to close the deal in April. Run:ai posted deal on its website today and the company said Nvidia additionally plans to open source its software. The company's software remotely schedules Nvidia GPU resources for AI in the cloud. Neither company explained why Run:ai will open source its platform, but it's probably not hard to figure out. Since Nvidia has grown to be the No. 1 maker of AI chips, its stock price has soared to $3.56 trillion, making it the most valuable company in the world. That's great for Nvidia, but it makes it hard for it to acquire companies because of antitrust oversight. A spokesperson for Nvidia said only in a statement, "We're delighted to welcome the Run:ai team to Nvidia." When Microsoft acquired Activision Blizzard for $68.7 billion, it appeased antitrust regulators by licensing Activision's Call of Duty game to other platforms for a decade to address worries that the company would become too powerful in gaming. The same might be happening here. Run:ai founders Omri Geller and Ronen Dar said in a press release that open sourcing its software will help the community build better AI, faster. "While Run:ai currently supports only Nvidia GPUs, open sourcing the software will enable it to extend its availability to the entire AI ecosystem," Geller and Dar said. They said they will continue to help our customers to get the most out of their AI Infrastructure and offer the ecosystem maximum flexibility, efficiency and utilization for GPU systems, wherever they are: On-Prem, in the cloud through native solutions, or on Nvidia DGX Cloud, co-engineered with leading CSPs. The founders also said, "True to our open-platform philosophy, as part of Nvidia, we will keep empowering AI teams with the freedom to choose the tools, platforms, and frameworks that best suit their needs. We will continue to strengthen our partnerships and work alongside the ecosystem to deliver a wide variety of AI solutions and platform choices." The Israel-based company said its goal when it was founded in 2018 was to be a driving force in the AI revolution and empower organizations to unlock the full potential of their AI infrastructure. "Over the years, our world-class team has achieved milestones that we could only dream of back then. Together, we've built innovative technology, an amazing product, and an incredible go-to-market engine," the founders said. Run:ai helps customers to orchestrate their AI Infrastructure, increase efficiency and utilization, and boost the productivity of their AI teams. "We are thrilled to build on this momentum, now as part of Nvidia. AI and accelerated computing are transforming the world at an unprecedented pace, and we believe this is just the beginning," the Run:ai founders said. "GPUs and AI infrastructure will remain at the forefront of driving these transformative innovations and joining Nvidia provides us an extraordinary opportunity to carry forward a joint mission of helping humanity solve the world's greatest challenges." Nvidia has been a longtime maker of graphics chips, and those chips have become a lot more useful in recent years in running AI software. Now the company is also emphasizing software and this acquisition is related to giving customers maximum choice, efficiency and flexibility for GPU orchestration software. Nvidia and Run:ai have been working together since 2020 and they have joint customers.

Nvidia Completes Run:ai Buyout: Details - NVIDIA (NASDAQ:NVDA)

Run:ai plans to open-source its software to expand AI innovation. Nvidia Corp NVDA completed acquiring Israeli startup Run:ai, marking its most significant in Israel since its $6.9 billion Mellanox Technologies deal in 2020. The startup pledged to help customers maximize their AI infrastructure by providing flexible, efficient, and highly utilized GPU systems. These solutions will be available across various platforms, including on-premises setups, cloud-based native solutions, and Nvidia DGX Cloud, which was co-developed with leading cloud service providers. Also Read: Xiaomi Expands EV Charging Options, Partners with NIO, XPeng, and Li Auto for Greater Network Access Aligned with its open-platform philosophy, Run:ai, now part of Nvidia, will continue empowering AI teams to select the tools, platforms, and frameworks that best meet their needs. It plans to strengthen partnerships and collaborate with the ecosystem to deliver diverse AI solutions and platform options. Additionally, the startup intends to open-source its Run:ai software, enabling the broader AI community to accelerate innovation. While supporting only Nvidia GPUs, the open-source initiative aims to expand compatibility across the entire AI ecosystem. In April, Nvidia shared plans to acquire Run:ai, reportedly for around $600 million - $700 million, and integrate it into its operations in Israel, which employed ~4,000 people across seven R&D centers. However, the deal drew regulatory scrutiny from the European Commission over possible anticompetitive concerns. Nvidia stock surged over 190% year-to-date. The company is eying robotics as its next growth catalyst and plans to launch Jetson Thor computers for humanoid robots in 2025. Tesla Inc plans to start limited production of its humanoid robot, Optimus, by late 2025, aiming for broader commercial availability in 2026. Nvidia supplies essential technology components to power Tesla's robotics efforts. Investors can gain exposure to Nvidia through VanEck Semiconductor ETF SMH and Fidelity MSCI Information Technology Index ETF FTEC. Price Actions: NVDA stock is up 1.8% at $139.48 at the last check Monday. Also Read: Meta Settles Israeli Job Ad Discrimination Case For $1 Million: Report Image via Shutterstock. This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs

2024 Marks a Year of Major Acquisitions for NVIDIA

The company achieved unprecedented success in 2024 and became the world's most valuable company with a $3.5 trillion market cap, surpassing Apple. NVIDIA, the world's leading chipmaker company, completed the acquisition of Run:ai, an Israel-based AI infrastructure platform, on Monday. NVIDIA reportedly paid $700 million after overcoming several hurdles posed by the US Department of Justice (DOJ). Earlier in August, the US DOJ initiated an antitrust investigation on the acquisitions in lieu of the impact it can have on the competition. However, in October, the European Commission reviewed the deal and "unconditionally" approved it, citing that it may not have any concerning effects in the European Economic Area. However, the delays only benefited Run:ai, and its employees. Given NVIDIA's stock price surge, founders and employees are set to be retained and will be paid $200 million in NVIDIA shares - reportedly double the initial amount. That said, Run:ai is also open-sourcing its software, which currently runs only on NVIDIA GPUs. "While our colours will change from pink to green, our commitment to our customers, partners, and the broader AI ecosystem remains unwavering," the company stated. As for NVIDIA, the company is ending the year on a high note. The company achieved unprecedented success in 2024 and became the world's most valuable company with a $3.5 trillion market cap, surpassing Apple. However, a less talked-about development is NVIDIA's acquisitions throughout the year. Out of the 23 companies NVIDIA has acquired to date, six of them were completed in 2024 alone. Interestingly, Run:ai is the second Israeli company to be acquired by NVIDIA in 2024. Earlier in May, the company announced the acquisition of Deci for $300 million. Post-acquisition, the company was dissolved as an independent corporate entity. Deci's deep learning acceleration platform helped developers improve their performance by up to 15 times without compromising accuracy. Soon after, NVIDIA acquired Shoreline.io in June, reportedly for $100 million. Shoreline, founded by a former AWS executive, developed a platform for automating processes to fix computer system incidents. The company then acquired Brev.Dev, a San Francisco-based AI/ML development platform for training and deploying models on the cloud. In September, NVIDIA acquired OctoAI, a healthcare startup based in Seattle, US, reportedly for $250 million. A few weeks ago, they completed the acquisition of VinBrain, another healthcare startup owned by the Vietnamese conglomerate Vingroup. NVIDIA also set up an R&D centre in the country. From software development to healthcare, AI is catching up with every other sector, and NVIDIA wants to be at the forefront of it all. In a recent podcast episode, CEO Jensen Huang said that breakthroughs in AI will include "everything from quantum computing to quantum chemistry. "Every field of science is involved in the approaches that we're talking about...Nothing will be left behind. We're going to take everybody with us." In addition to acquisitions, NVIDIA participated in several investment activities, the notable ones being OpenAI's $6.6 billion funding round and Elon Musk's xAI's $6 billion Series C funding round. That said, NVIDIA has also had a fruitful year when it comes to partnerships in India. In 2024, Huang demonstrated a significant focus on India. At the NVIDIA AI Summit in 2024 in Mumbai, Huang called NVIDIA "AI in India" and praised the country's AI and cloud infrastructure. "By the end of this year, we will have nearly 20 times more compute here in India than just a little over a year ago," he added. A few weeks ago, Yotta Data Services introduced Rudra, a program that provides startups and developers access to NVIDIA's Hopper GPUs and their AI Enterprise software suite. Startups and independent software vendors (ISVs) enrolled in the NVIDIA Inception and Connect programs can receive cloud credits of up to $50,000 on Yotta's Shakti Cloud. Companies like Infosys, TCS, Tech Mahindra, and Wipro announced a collaboration with NVIDIA. For instance, TCS and Wipro use NVIDIA's NIM Agent Blueprints for various sectors in their services. Infosys, on the other hand, incorporated NVIDIA's AI Enterprise into their Topaz suite, which helps businesses integrate generative AI into their workflows. In October, NVIDIA also announced the Nemotron-4-Mini Hindi model, which Tech Mahindra was the first to implement in their Indus 2.0 Model. Huang also interacted with Reliance Industries Chairman Mukesh Ambani and said that India is key to NVIDIA's vision. At Jamnagar, Reliance is preparing to build a data centre capable of supporting 1GW of power, with the potential to expand multiple gigawatts at a single location. The facility is said to use NVIDIA's latest Blackwell chips. Earlier in July, NVIDIA also announced a collaboration with six Indian PC builders - The MVP, Ant PC, Vishal Peripherals, Hi-Tech Computer Genesys Labs, XRig, and EliteHubs, to launch 'Made in India' PCs equipped with RTX AI.