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WHTop → 📋 News → Nokia’s AI Networking Growth Meets Heavy Restructuring Costs
Nokia’s AI Networking Growth Meets Heavy Restructuring Costs
📅 - Nokia's second-quarter results suggest the company is finding a second growth engine in AI and cloud networking, even as restructuring costs obscure the headline profit picture. Revenue rose, infrastructure margins improved and orders accelerated, but the quarter also exposed a familiar tension - operational progress on one side, expensive portfolio cleanup and execution risk on the other.
For years, Nokia has been read mainly through the spending habits of telecom operators. That remains unavoidable. Mobile Infrastructure still generated the larger share of quarterly sales, and carrier investment cycles are hardly predictable. Yet the more consequential numbers now sit elsewhere. Network [...][... Check source for end of article ...]
📅 - AMD Targets Full-Stack AI With Helios, EPYC and New Robotics - AMD is broadening its AI ambitions well beyond accelerators, introducing a coordinated hardware and software portfolio built around rack-scale infrastructure, new server processors, GPUs, embedded silicon and robotics platforms. The strategy reflects a market increasingly rewarding vendors capable of supplying complete AI systems instead of individual chips, while enterprise infrastructure requirements continue growing substantially worldwide.
The industry's center of gravity has shifted again. Training massive language models still matters, but inference is beginning to dominate infrastructure planning as enterprises move from experimentation toward continuous AI services, autonomous [...]
📅 - QumulusAI to Supply $32M in NVIDIA B300 Capacity - QumulusAI has signed a two-year infrastructure agreement worth more than $32 million to supply NVIDIA Blackwell B300 GPU capacity for an unnamed AI inference platform, underscoring how demand is shifting from experimental model training toward contracted inference infrastructure as enterprise generative applications expand and utilization patterns become increasingly predictable with deployments scheduled to begin during fall 2026.
The customer develops infrastructure for enterprises and software developers running image, video, and other generative AI applications where response times directly affect product quality. Rather than relying on burstable or spot GPU markets, the company has [...]
📅 - IBM Acquires HRL to Expand Quantum Hardware and Sensing Research - IBM has agreed to acquire HRL Laboratories, the Boeing- and General Motors-owned research group, adding silicon-spin qubit engineering, quantum sensing and advanced materials expertise to its expanding quantum program. The deal gives IBM a second hardware path alongside superconducting qubits while extending its reach into defense, navigation, communications and government-funded research, subject to regulatory approval this year.
The transaction is less about replacing IBM's current quantum architecture than buying optionality. IBM has spent years organizing its quantum roadmap around superconducting qubits, error correction and progressively larger systems. HRL brings a different device [...]
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