Hardware & Compute

NSF’s $20M Quantum Push: What It Could Mean for Future Data Centers

The NSF has awarded $20 million to five new teams building a national quantum infrastructure spanning networking, sensing, and fault-tolerant computing.

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The US National Science Foundation has awarded $20 million to five research teams developing quantum technologies for data centers, including quantum networking, sensors, and computing systems. These projects are part of a larger effort to create an integrated national quantum infrastructure where different quantum technologies work together as a system rather than in isolation. While these technologies remain experimental and years away from commercial use, they could potentially address current data center challenges by reducing power consumption and network bottlenecks that limit AI growth. The research involves universities, national laboratories, and major industry participants working to move quantum technologies from isolated breakthroughs toward practical applications that data center operators could eventually deploy.

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Google Unveils TPU 8i Max and TPU 8tx: A Dual-Chip TPU and a Confidential TPU

Google has added two new systems to its eighth-generation TPU lineup. TPU 8i Max targets massive context windows and rack density. TPU 8tx targets secure, confidential inference. Google TPU 8i Max is a dual-chip package built from 2 TPU 8i chips. Both arrive alongside TPU 8t and TPU 8i, announced in April. TL;DR Size: TPU 8i Max = 2 TPU 8i chips in 1 package. TPU 8tx = TPU 8t silicon plus 5th Gen AMD EPYC hosts. Runs on: Google Cloud TPU systems. Performance: 8i Max doubles TPU 8

Also reported by Data Center Knowledge

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IBM Announces IBM Quantum Nighthawk r3: A New Processor to Support 10k Quantum Operations on 520 Programmable Qubits

IBM has announced IBM Quantum Nighthawk r3, its next superconducting quantum processor. It is designed to run 10,000 quantum operations accurately across 520 programmable qubits. In 2027, IBM plans to link 2 r3 chips into a single 1,040-qubit system. For developers, the announcement is speed. The current Nighthawk r2 already runs workloads up to 19x faster than IBM’s earlier processors. TL;DR Size: Nighthawk r3: 520 programmable qubits, 2,034 physical qubits, 10 l-couplers. Nightha

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Why the data center you dread might never even be built

The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place. With billions of dollars in AI infrastructure […]

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How backlash and red tape continue to slow data centers post-Blue Wave

The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place. With billions of dollars in AI infrastructure […]

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AMD Launches Epyc SP7, Helion as AI Rack Demand Rises

AMD has begun shipping sixth-gen Epyc servers and is rolling out Helion AI racks, signaling a bigger push into enterprise and agentic AI infrastructure.

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Google broadens its AI hardware portfolio with two new specialized chips

Google's new tensor processing units (TPUs) broaden its chip portfolio to more use cases: confidential model training and more memory capacity.