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  • HARDWARE Jan 16: OpenAI Signs Multibillion-Dollar Deal With Cerebras To Reduce Nvidia Reliance

    OpenAI has forged a strategic multibillion-dollar partnership with chipmaker Cerebras, diversifying its computing supply chain beyond Nvidia. The deal grants OpenAI access to Cerebras’ massive wafer-scale engines, designed to handle immense AI workloads more efficiently. This move signals a significant shift in the AI hardware landscape as major players seek alternatives to overcome GPU shortages and scalability bottlenecks.

  • CRYPTO Jan 16: Jefferies Dumps Bitcoin Over Fears Quantum Computers Will Crack Encryption

    Investment firm Jefferies has removed Bitcoin from its "Greed & Fear" portfolio, reallocating the funds to gold and silver. The firm cited the long-term existential threat posed by quantum computing to blockchain cryptography. This decision highlights growing institutional anxiety regarding "Q-Day"—the future moment when quantum processors become powerful enough to decrypt current security standards protecting digital assets.

  • QUANTUM Jan 16: EeroQ Unveils Breakthrough Architecture To Control One Million Qubits

    Quantum hardware startup EeroQ has demonstrated a scalable control architecture capable of managing one million qubits using fewer than 50 control lines. This innovation addresses the "wiring bottleneck" that currently limits the size of quantum processors. By drastically reducing the hardware complexity required for control, EeroQ’s breakthrough paves the way for building practical, fault-tolerant quantum computers in the near term.

  • CHIPS Jan 16: New Probabilistic Computing Paradigm Slashes AI Chip Power Consumption

    Researchers have unveiled a new "probabilistic computing" method that significantly reduces the energy required for AI chips. By mimicking the human brain's ability to process uncertainty, this approach allows hardware to perform complex calculations with lower precision but higher efficiency. The technology offers a critical solution to the sustainability crisis facing data centers by drastically cutting power usage for inference tasks.

  • STARTUP Jan 16: Silicon Quantum Startup Equal1 Secures $60 Million For Scaling Tech

    Irish startup Equal1 has raised $60 million in funding to accelerate the deployment of its silicon-based quantum computing technology. The company distinguishes itself by integrating qubits directly with standard CMOS electronics, enabling compact and cost-effective quantum processors. This fresh capital will support their roadmap to deliver scalable quantum solutions compatible with existing semiconductor manufacturing processes.

  • BUSINESS Jan 16: Honeywell Plans To Spin Off Quantum Unit Quantinuum Via IPO

    Honeywell is preparing to separate its quantum computing division, Quantinuum, through an Initial Public Offering (IPO). Quantinuum, a leader in trapped-ion technology, has consistently hit performance milestones in qubit fidelity and volume. The planned spin-off reflects the growing maturity of the quantum sector and aims to unlock significant shareholder value while allowing the unit to operate independently.

  • POLICY Jan 16: Taiwan Launches Tender For Quantum Computer Amidst US Export Bans

    Taiwan has opened an international tender to purchase its first commercial-grade quantum computer to bolster national research capabilities. However, the procurement process faces hurdles due to strict US export bans on advanced quantum technologies. The move underscores Taiwan's determination to remain at the forefront of high-performance computing despite complex geopolitical restrictions impacting the supply chain.

  • RESEARCH Jan 16: Novel Cooling Method Enables Chip-Based Trapped-Ion Quantum Computer Scaling

    Scientists have developed an efficient cooling technique for chip-based trapped-ion quantum computers. The method effectively dissipates heat from micro-traps without disturbing the fragile quantum states of the ions. This advancement removes a major thermal barrier to miniaturization, bringing the industry closer to creating portable and integrated quantum processors that do not require massive laboratory cooling infrastructure.

  • INFRA Jan 16: Investors Shift Capital To GPUs As Primary Long-Term AI Infrastructure

    New market data indicates a decisive pivot among investors toward GPUs as the core asset for long-term AI infrastructure. Capital is flowing away from general-purpose CPUs toward specialized accelerators essential for training and inference. This trend confirms the financial sector's consensus that accelerated computing will dominate the future of enterprise IT, driving sustained demand for high-performance silicon.

  • LOCAL Jan 16: Boulder Solidifies Status As Quantum Hub With New Company Expansion

    Boulder, Colorado continues to attract top-tier technology firms, with another major quantum computing company scouting the area for expansion. Drawn by the region's dense ecosystem of research institutions like NIST and the University of Colorado, companies are clustering here to access specialized talent. This expansion reinforces Colorado's pivotal role in the national quantum initiative.