Meta champions open hardware to power the next generation of AI data centres

The US tech giant, Meta, believes open hardware will define the future of AI data centre infrastructure. Speaking at the Open Compute Project Global Summit, the company outlined a series of innovations designed to make large-scale AI systems more efficient, sustainable, and collaborative.

Meta, one of the OCP’s founding members, said open source hardware remains essential to scaling the physical infrastructure required for the next generation of AI.

During the summit, Meta joined industry peers in supporting OCP’s Open Data Center Initiative, which calls for shared standards in power, cooling, and mechanical design.

The company also unveiled a new generation of network fabrics for AI training clusters, integrating NVIDIA’s Spectrum Ethernet to enable greater flexibility and performance.

As part of the effort, Meta became an initiating member of Ethernet for Scale-Up Networking, aiming to strengthen connectivity across increasingly complex AI systems.

Meta further introduced the Open Rack Wide (ORW) form factor, an open source data rack standard optimised for the power and cooling demands of modern AI.

Built on ORW specifications, AMD’s new Helios rack was presented as the most advanced AI rack yet, embodying the shift toward interoperable and standardised infrastructure.

Meta also showcased new AI hardware platforms built to improve performance and serviceability for large-scale generative AI workloads.

Sustainability remains central to Meta’s strategy. The company presented ‘Design for Sustainability’, a framework to reduce hardware emissions through modularity, reuse, and extended lifecycles.

It also shared how its Llama AI models help track emissions across millions of components. Meta said it will continue to

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Atlantic Quantum joins Google Quantum AI to advance scalable quantum hardware

Google Quantum AI has taken a major step in its pursuit of error-corrected quantum computing by integrating Atlantic Quantum, an MIT spin-out focused on superconducting hardware.

The move, while not formally labelled an acquisition, effectively brings the startup’s technology and talent into Google’s programme, strengthening its roadmap toward scalable quantum systems.

Atlantic Quantum, founded in 2021, has worked on integrating qubits with superconducting control electronics in the same cold stage.

A modular chip stack that promises to simplify design, reduce noise, and make scaling more efficient. Everything is equally important to build machines capable of solving problems beyond the reach of classical computers.

Google’s Hartmut Neven highlighted the approach as a way to accelerate progress toward large, fault-tolerant devices.

The startup’s journey, from MIT research labs to Google integration, has been rapid and marked by what CEO Bharath Kannan called ‘managed chaos’.

The founding team and investors were credited with pushing superconducting design forward despite the immense challenges of commercialising such cutting-edge technology.

Beyond hardware, Google gains a strong pool of engineers and researchers, enhancing its competitive edge in a field where rivals include IBM and several well-funded scale-ups.

A move that reflects a broader industry trend where research-heavy startups are increasingly folded into major technology firms to advance long-term quantum ambitions. With governments and corporations pouring resources into the race, consolidation is becoming common.

For Atlantic Quantum, joining Google ensures both technological momentum and access to resources needed for the next phase. As co-founder Simon Gustavsson put it, the work ‘does not stop here’ but continues within Google Quantum AI’s effort to deliver real-world quantum applications.

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Sam Altman reverses his stance on AI hardware as current computers can’t meet the demands

Sam Altman, CEO of OpenAI, has returned from his earlier position, saying that AGI would not need new hardware.

Speaking on a podcast with his brother, Altman said current computers are no longer suited for the fast-evolving demands of AI. Instead of relying on standard hardware, he now believes new solutions are necessary.

OpenAI has already started developing dedicated AI hardware, including potential custom chips, marking a shift from using general-purpose GPUs and servers.

Altman also hinted at a new device — not a wearable, nor a phone — that could serve as an AI companion. Designed to be screen-free and aware of its surroundings, the product is being co-developed with former Apple design chief Jony Ive.

The collaboration, however, has run into legal trouble. A federal judge recently ordered OpenAI and Ive to pause the promotion of the new venture after a trademark dispute with a startup named IYO, which had previously pitched similar ideas to Altman’s investment firm.

OpenAI’s recent $6.5 billion acquisition of io Products, co-founded by Ive, reflects the company’s more profound commitment to reshaping how people interact with AI.

Altman’s revised stance on hardware suggests the era of purpose-built AI devices is no longer a vision but a necessary reality.

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OpenAI buys Jony Ive’s AI hardware firm

OpenAI has acquired hardware startup io Products, founded by former Apple designer Jony Ive, in a $6.5 billion equity deal. Ive will now join the company as creative head, aiming to craft cutting-edge hardware for the era of generative AI.

The move signals OpenAI’s intention to build its own hardware platform instead of relying on existing ecosystems like Apple’s iOS or Google’s Android. By doing so, the firm plans to fuse its AI technology, including ChatGPT, with original physical products designed entirely in-house.

Jony Ive, the designer behind iconic Apple devices such as the iPhone and iMac, had already been collaborating with OpenAI through his firm LoveFrom for the past two years. Their shared ambition is to create hardware that redefines how people interact with AI.

While exact details remain under wraps, OpenAI CEO Sam Altman and Ive have teased that a prototype is in development, described as potentially ‘the coolest piece of technology the world has ever seen’.

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OFAC updates Russia General License for telecoms, issues alert on sanction evasion

The US Department of the Treasury’s Office of Foreign Assets Control (OFAC) has recently updated its Russia General License (GL) 25E, maintaining authorisation for essential and incidental transactions to telecommunications involving the Russian Federation. That license facilitates various internet-based services, including instant messaging, social networking, and e-learning platforms.

It supports the ongoing exchange of communications and allows for the export or reexport of related software, hardware, and technology, provided such transactions comply with the Department of Commerce’s Export Administration Regulations. However, it is important to note that transactions involving significant Russian telecommunications companies designated by OFAC remain unauthorised under this license and must be carefully analysed.

The Department of the Treasury’s Office of Foreign Assets Control has also issued a critical alert regarding Russia’s attempts to evade sanctions by establishing new overseas branches and subsidiaries of Russian financial institutions. That alert warns that these efforts to open new international branches or subsidiaries should be considered potential red flags for sanction evasion.

Financial institutions and foreign regulators are advised to exercise caution when engaging with these entities, as activities such as maintaining accounts, transferring funds, or providing financial services may carry significant risks of facilitating Russia’s attempts to bypass sanctions.