Cloud Computing

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U.S. markets closed for Thanksgiving and are set to finish November in the red, ending a six‑month rally for the S&P 500 and Dow and a seven‑month gain for the Nasdaq, as higher‑for‑longer Fed rates, inflation worries, and a tech‑earnings divide weigh on stocks. Futures are flat, Asian markets are mixed, and the Nikkei rose on hot inflation data. Meanwhile, the U.S. will cut benefits for non‑citizens, South Korea sanctioned a Cambodian fraud group, and Russia signaled openness to peace talks. Europe’s strict AI regulations are creating niche opportunities in edge‑computing, secure‑cloud services, and green‑energy‑powered data centers, attracting investor capital.

Alibaba’s fiscal second-quarter revenue exceeded expectations, driven by a 34% surge in cloud computing revenue attributed to AI investments. Cloud Intelligence Group saw triple-digit growth in AI-related product revenue for the ninth consecutive quarter. Despite a drop in overall profitability due to investments in quick commerce, Alibaba’s shares rose. The company plans increased capital expenditure on AI infrastructure. Qwen, Alibaba’s ChatGPT competitor, achieved over 10 million downloads in its first week. Quick commerce emerges as a strategic pillar with ambitious GMV targets.

Alibaba Group (BABA) reported its Q3 2025 financial results, showcasing increased revenue (5% YoY, 15% excluding disposed businesses) but decreased profitability due to strategic investments in AI and cloud infrastructure. AI product revenue saw triple-digit growth. The company’s focus is on long-term value creation through AI technologies and expanding its consumption platform. Key segments like China e-commerce and Cloud Intelligence showed strong revenue growth, particularly fueled by AI. Alibaba is actively repurchasing shares, signaling confidence in its future.

Google plans to double its AI server capacity every six months, potentially increasing it 1000-fold in 4-5 years. This expansion, backed by strong financials and a $93 billion capital expenditure forecast, reflects Google’s confidence in AI’s long-term value. Google emphasizes that infrastructure investment drives revenue, citing its cloud operations. Advances in TPUs and LLMs enhance efficiency. Industry experts agree that robust IT infrastructure is crucial for successful AI deployment, as inadequate systems hinder AI performance. Major technology providers are investing heavily in AI infrastructure to deliver scalable AI solutions.

Tencent’s Q3 2025 earnings exceeded expectations with a 15% revenue increase, driven by AI advancements in advertising and gaming. Revenue reached 192.9 billion yuan, with operating profit at 63.6 billion yuan. Domestic gaming grew 15%, boosted by successful game launches, while international gaming surged 43%. Tencent is investing heavily in AI, including its HunYuan model, and expanding into European cloud computing, aiming to compete with industry leaders. Year-to-date, Tencent’s stock has increased 56.7%.

Google’s Private AI Compute is a new cloud-based system aiming to balance powerful AI with user privacy by replicating on-device data security within a cloud environment. Similar to Apple’s approach, it addresses the challenge of providing computationally intensive AI while protecting data confidentiality. The system uses Google’s infrastructure, including TPUs and TIEs, encrypted connections, and Zero Access assurance to secure data processing. It enhances features like Magic Cue and Recorder, offering faster, more personalized results. Google intends Private AI Compute to unlock a new generation of privacy-centric AI tools.

Majestic Labs, founded by ex-Meta and Google silicon executives, secured $100M to disrupt cloud computing. Their novel chip design architecture boasts 1000x the memory of typical servers, potentially replacing ten racks with one and significantly reducing data center costs. Targeting hyperscalers and enterprises deploying AI, their technology consolidates server functionality, cutting power consumption and improving energy efficiency. Prototypes are expected in 2027. The founders aim to solve memory bottleneck issues for AI workloads.

Nvidia dominates the AI chip market, but Google is emerging as a silicon contender with its Tensor Processing Units (TPUs). Google’s Ironwood, its seventh-generation TPU, delivers a fourfold performance increase and is targeted at demanding AI workloads. AI startup Anthropic plans to deploy 1 million Ironwood TPUs. Google’s TPUs offer efficiency advantages and drive cloud growth. While Amazon and Microsoft are developing custom chips, Google leads in TPU deployment at scale, with potential for significant cloud market impact. Google is even exploring space-based solar power for TPUs.

Amazon is building its first wholly-owned subsea fiber-optic cable, Fastnet, connecting Maryland to Ireland. This initiative aims to bolster infrastructure for cloud computing and AI, addressing increasing demands for bandwidth, low latency, and cost-effectiveness. Fastnet will have a capacity exceeding 320 Tbps and is projected to be operational by 2028. This strategic move provides Amazon with greater control over its network, enhances resilience, and reduces reliance on third-party providers, reflecting a broader industry trend of tech giants investing in subsea cables.

Amazon secured a $38 billion deal with OpenAI for AWS infrastructure access, diversifying OpenAI’s cloud services beyond Microsoft. This fueled Amazon’s stock to a record high close. Microsoft also benefited from a US license to export Nvidia AI chips to the UAE, boosting Nvidia’s shares. While tech stocks lifted indices, many S&P 500 stocks closed lower, signaling narrow market participation. Palantir’s positive results were overshadowed by a stock decline. Markets predominantly advanced, but risks to global equities are mounting.