ComputeLabs Research

AI & Compute Infrastructure — October 21, 2026

Edition of · 20 stories

Meta raised its 2026 capital-expenditure guidance to $135–145 billion, increasing the lower bound by $5 billion.

Meta’s updated guidance raises the lower end of its expected 2026 capital expenditure from $130 billion to $135 billion, while retaining a $145 billion upper bound. These figures are management guidance, not completed spending; Meta said it was still developing its budget and capacity plans for 2027 and did not provide a numerical 2027 capital-expenditure outlook.

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Google Cloud scheduled A5X bare-metal instances, based on NVIDIA Vera Rubin NVL72, for general availability in November.

Google Cloud said A5X bare-metal GPU-accelerated instances would become generally available in November 2026. The platform combines NVIDIA Vera Rubin NVL72, ConnectX-9 SuperNICs, Google’s Virgo Network, and Google Cloud’s fourth-generation advanced liquid cooling, with regional expansion intended to support European and broader EMEA—Europe, Middle East, and Africa—data-residency requirements.

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Google Cloud launched GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna in Model Garden, running on dedicated Google Cloud infrastructure.

Google Cloud announced three OpenAI models in Model Garden: GPT-6 Astra for demanding coding, computer use, professional work, and scientific research; GPT-6.1 Sol, described as offering near-Astra intelligence at lower cost; and GPT-6 Luna for fast, cost-efficient everyday workloads. These workload and relative-cost descriptions are Google’s product positioning, not independently supplied benchmark results.

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Scientific-model startup ZenteiQ increased batch-inference throughput 4.07 times, reaching 5.97 billion daily tokens per 1,000 accelerators using Google Kubernetes Engine’s Inference Gateway.

ZenteiQ is a startup spun out of the Indian Institute of Science and selected under the IndiaAI Mission to build sovereign scientific foundation models. Its models address physical laws, governing equations, and numerical solvers across fields including thermodynamics, computational fluid dynamics, and electromagnetics.

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PHP patched two critical vulnerabilities posing remote-code-execution and memory-disclosure risks; affected versions span 5.4–8.5.11.

PHP and Wiz Research disclosed CVE-2026-109618 and CVE-2026-109619, two core-runtime vulnerabilities associated with unauthenticated remote code execution and memory disclosure. Each received a Common Vulnerability Scoring System base score of 9.2, classified as Critical; Google says its cloud platform itself is not vulnerable, but customer PHP applications running on it may be.

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