AMD agrees to buy World Labs to fill out its AI stack
InfoWorld ·
Advanced Micro Devices (AMD) has agreed to buy World Labs, a developer of AI “world models” that incorporate knowledge of the physical world, to extend the AI ecosystem around its hardware to encompass areas such as robotics, simulation and physical AI. Historically, AMD was seen as the cheaper alternative to Intel in the CPU market, but according to Gartner Director Analyst Shrish Pant , that positioning no longer works: “AMD can’t win just by selling cheaper chips,” he said. “Nvidia won enterprise AI by selling an entire ecosystem. Acquiring World Labs turns AMD into a full-stack player, giving customers everything from the hardware and compiler up to ready-to-use physical and spatial AI models.” World Labs is working on world models designed to analyze and generate 3D environments, including the relationships between objects and how those environments change, whereas the models developed by the likes of OpenAI and Anthropic are built around language — although the concept of “language” also includes code, audio, images, and even DNA. This is where World Labs fits into AMD’s ecosystem, according to Parv Sharma , Senior Research Analyst at Counterpoint Research. “World Labs builds AI that understands space, where models need to understand geometry, physics and time, unlike LLMs, which understand languages. These world models are used for training in physical AI (robotics, autonomous vehicles, industrial simulation, AR/VR, gaming, digital twins), potentially one of the next multi-trillion-dollar opportunities,” he said. After the close of the deal, which values World Labs at $8.2 billion, its CEO Fei-Fei Li will become chief scientist, reporting to AMD CEO Lisa Su . For AMD’s Su, “Building the compute platforms for the next generation of AI requires a deep understanding of how models are evolving,” she said in a news release. “Fei-Fei and the World Labs team bring exceptional research leadership and model expertise. Together, we can use that insight to develop the hardware, software and systems that will power the next generation of AI and strengthen the open AI ecosystem.” Building an Nvidia alternative The acquisition will bring World Labs’ model expertise into a broader hardware and software context as AMD it looks to compete with Nvidia beyond their core chip products. AMD is building an open hardware alternative to Nvidia around platforms such as Helios and UALink, but it also needs to strengthen the software layer around its hardware with first-party AI models and through ROCm , a software stack for running loads on its GPUs. Counterpoint’s Sharma said the acquisition could help AMD narrow the software gap with Nvidia, not just through ROCm, its alternative to Nvidia’s CUDA, but through its own models and platforms like Omniverse, Cosmos, GR00T, or Isaac. The deal will make physical AI a key growth vector in its Instinct and embedded/automotive roadmaps, he said, while giving ROCm a first-party set of multimodal and 3D generation reference models. It could also give AMD a simulation platform for robotics customers that have traditionally relied on Nvidia’s Omniverse, he said. The real hurdle for AMD in its race with Nvidia has never been silicon, said Gartner’s Pant. “It’s the software. World Labs gives AMD a working, in-house ‘customer zero’ to battle-test ROCm on the hardest 3D and spatial models out there, closing the developer gap with Nvidia much faster in for spatial workloads.” Customer impact AMD expects to close the acquisition towards the end of this year, so the near-term picture around products, customer contracts or pricing remains largely unchanged: beyond Li’s future role as chief scientist, AMD has not yet announced changes for either company as a result of the acquisition. However, analysts are hopeful that the acquisition could eventually give customers access to capabilities and computing resources that neither company could offer as easily on its own. “AMD customers could gain access to world models, 3D generation, simulation and physical-AI capabilities optimized for AMD hardware without extra setup,” said Pareekh Jain, CEO of Pareekh Consulting. “For the World Labs customers, they could get access to massive computer power to run bigger, faster simulations. Existing World Labs products, customers and contracts are likely to continue initially, but could become more tightly integrated with AMD’s hardware and software ecosystem.” Future pricing and availability are harder to predict, he said, but deeper AMD optimization could improve performance and economics. AMD will likely bundle the software with its chips to undercut Nvidia’s pricey software licenses . AMD’s bet on future AI workloads AMD is making a big bet on the future of world models, said Jain. “Seven months earlier, AMD helped fund World Labs when it was valued at $5 billion, so AMD is now paying about 60% more,” he said, adding that AMD is effectively paying for future commercial potential, technology and talent, positioning itself to profit if world models become a major AI workload across robotics, simulation and engineering. This article first appeared on CIO .
Advanced Micro Devices (AMD) has agreed to buy World Labs, a developer of AI “world models” that incorporate knowledge of the physical world, to extend the AI ecosystem around its hardware to encompass areas such as robotics, simulation and physical AI. Historically, AMD was seen as the cheaper alternative to Intel in the CPU market, but according to Gartner Director Analyst Shrish Pant , that positioning no longer works: “AMD can’t win just by selling cheaper chips,” he said. “Nvidia won enterprise AI by selling an entire ecosystem. Acquiring World Labs turns AMD into a full-stack player, giving customers everything from the hardware and compiler up to ready-to-use physical and spatial AI models.” World Labs is working on world models designed to analyze and generate 3D environments, including the relationships between objects and how those environments change, whereas the models developed by the likes of OpenAI and Anthropic are built around language — although the concept of “language” also includes code, audio, images, and even DNA. This is where World Labs fits into AMD’s ecosystem, according to Parv Sharma , Senior Research Analyst at Counterpoint Research. “World Labs builds AI that understands space, where models need to understand geometry, physics and time, unlike LLMs, which understand languages. These world models are used for training in physical AI (robotics, autonomous vehicles, industrial simulation, AR/VR, gaming, digital twins), potentially one of the next multi-trillion-dollar opportunities,” he said. After the close of the deal, which values World Labs at $8.2 billion, its CEO Fei-Fei Li will become chief scientist, reporting to AMD CEO Lisa Su . For AMD’s Su, “Building the compute platforms for the next generation of AI requires a deep understanding of how models are evolving,” she said in a news release. “Fei-Fei and the World Labs team bring exceptional research leadership and model expertise. Together, we can use that insight to develop the hardware, software and systems that will power the next generation of AI and strengthen the open AI ecosystem.” Building an Nvidia alternative The acquisition will bring World Labs’ model expertise into a broader hardware and software context as AMD it looks to compete with Nvidia beyond their core chip products. AMD is building an open hardware alternative to Nvidia around platforms such as Helios and UALink, but it also needs to strengthen the software layer around its hardware with first-party AI models and through ROCm , a software stack for running loads on its GPUs. Counterpoint’s Sharma said the acquisition could help AMD narrow the software gap with Nvidia, not just through ROCm, its alternative to Nvidia’s CUDA, but through its own models and platforms like Omniverse, Cosmos, GR00T, or Isaac. The deal will make physical AI a key growth vector in its Instinct and embedded/automotive roadmaps, he said, while giving ROCm a first-party set of multimodal and 3D generation reference models. It could also give AMD a simulation platform for robotics customers that have traditionally relied on Nvidia’s Omniverse, he said. The real hurdle for AMD in its race with Nvidia has never been silicon, said Gartner’s Pant. “It’s the software. World Labs gives AMD a working, in-house ‘customer zero’ to battle-test ROCm on the hardest 3D and spatial models out there, closing the developer gap with Nvidia much faster in for spatial workloads.” Customer impact AMD expects to close the acquisition towards the end of this year, so the near-term picture around products, customer contracts or pricing remains largely unchanged: beyond Li’s future role as chief scientist, AMD has not yet announced changes for either company as a result of the acquisition. However, analysts are hopeful that the acquisition could eventually give customers access to capabilities and computing resources that neither company could offer as easily on its own. “AMD customers could gain access to world models, 3D generation, simulation and physical-AI capabilities optimized for AMD hardware without extra setup,” said Pareekh Jain, CEO of Pareekh Consulting. “For the World Labs customers, they could get access to massive computer power to run bigger, faster simulations. Existing World Labs products, customers and contracts are likely to continue initially, but could become more tightly integrated with AMD’s hardware and software ecosystem.” Future pricing and availability are harder to predict, he said, but deeper AMD optimization could improve performance and economics. AMD will likely bundle the software with its chips to undercut Nvidia’s pricey software licenses . AMD’s bet on future AI workloads AMD is making a big bet on the future of world models, said Jain. “Seven months earlier, AMD helped fund World Labs when it was valued at $5 billion, so AMD is now paying about 60% more,” he said, adding that AMD is effectively paying for future commercial potential, technology and talent, positioning itself to profit if world models become a major AI workload across robotics, simulation and engineering. This article first appeared on CIO .