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Friday

  1. MediaNama

    Railway suffers cyberattack leaking customer keys, asks users to change API keys

    Cloud hosting platform Railway discovered abnormal activity on October 21 in the system storing customer environment variables, stating that an unauthorized third party may have accessed encrypted environment variables and decrypted some of them, and has advised all users to change credentials such as API keys. Railway believes the attack may be part of a recent series of attacks targeting platform companies with the aim of breaching AI inference service providers, and has notified upstream suppliers to revoke potentially leaked keys. The company also released security guidance for OpenAI, Anthropic and GitHub users, advising them to delete potentially exposed API keys, generate new keys and check usage records; on October 23 its builds and deployments had recovered, but new user registration remained suspended.

    Cloud hosting platform Railway discovered abnormal activity on October 21 in the system storing customer environment variables, stating that an unauthorized third party may have accessed encrypted environment variables and decrypted some of them, and has advised all users to change credentials such as API keys. Railway believes the attack may be part of a recent series of attacks targeting platform companies with the aim of breaching AI inference service providers, and has notified upstream supp

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Thursday

  1. MiniMax

    MiniMax announces Inferact as the API launch partner for M3.1 Flash

    MiniMax announces Inferact as the API launch partner for M3.1 Flash; the latter will provide vLLM engineering capabilities and the Inferact Platform to support production inference for this model. Both parties state that they will continue to jointly build serving infrastructure for complex agent workloads. In a quoted post, Inferact stated that M3.1 Flash is aimed at multi-step automation, real-codebase engineering, and visual reasoning, scoring 29.6 on Agents' Last Exam (ALE), 72.5% on AutomationBench-AA, and 73.67% on DeepSWE.

    MiniMax announces Inferact as the API launch partner for M3.1 Flash; the latter will provide vLLM engineering capabilities and the Inferact Platform to support production inference for this model. Both parties state that they will continue to jointly build serving infrastructure for complex agent workloads. In a quoted post, Inferact stated that M3.1 Flash is aimed at multi-step automation, real-codebase engineering, and visual reasoning, scoring 29.6 on Agents' Last Exam (ALE), 72.5% on Automat

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  2. SiliconANGLE

    One-Year-Old AI Research Lab Flapping Airplanes Raises $1 Billion, Reportedly Valued at $6 Billion

    AI research lab Flapping Airplanes announced it has closed a new $1 billion funding round, with Bloomberg reporting a valuation of $6 billion; the company is about a year old and has no commercial product yet. In its first year the company focused mainly on developing new GPU primitives, saying its megakernel framework can complete full training, inference and game running within a single kernel, allowing memory-bound inference and compute-bound training to overlap on the same chip. The Series A round was co-led by Index Ventures and Lux Capital, with Sequoia Capital and GV, which participated in the $180 million seed round in January, continuing to invest, and Nvidia also among the institutional investors.

    AI research lab Flapping Airplanes announced it has closed a new $1 billion funding round, with Bloomberg reporting a valuation of $6 billion; the company is about a year old and has no commercial product yet. In its first year the company focused mainly on developing new GPU primitives, saying its megakernel framework can complete full training, inference and game running within a single kernel, allowing memory-bound inference and compute-bound training to overlap on the same chip. The Series A

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  3. TechCrunch AI

    One-year-old AI lab Flapping Airplanes raises $1 billion Series A at a $6 billion valuation

    One-year-old AI lab Flapping Airplanes announced it has raised a $1 billion Series A co-led by Index and Lux, reportedly at a $6 billion valuation. This comes just nine months after its $180 million seed round at a $150 million valuation, quadrupling its valuation. The founding team says its megakernel framework can complete training, inference, and game running in a single kernel, with the goal of enabling models to complete training with less data.

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Wednesday

  1. Huxiu

    Three major Chinese tech companies order over 3 million NVIDIA RTX PRO 5500 cards, with order value exceeding $35 billion

    According to Reuters, three major Chinese internet companies have collectively ordered more than 3 million NVIDIA RTX PRO 5500 workstation graphics cards. At a list price of about $11,400, the potential value exceeds $35 billion. NVIDIA has told partners that global production of the card in 2027 may not exceed 3 million units, and actual deliveries may be only 5% to 10%. The card uses the same GB202 chip as the RTX 5090, with memory increased from 32GB to 84GB, bandwidth reduced from about 1792GB/s to 1398GB/s, and support for MIG partitioning; it is mainly aimed at AI inference. Total orders from Chinese customers have exceeded 6 million units. The major companies placed orders early to secure priority supply given limited GB202 production capacity.

    According to Reuters, three major Chinese internet companies have collectively ordered more than 3 million NVIDIA RTX PRO 5500 workstation graphics cards. At a list price of about $11,400, the potential value exceeds $35 billion. NVIDIA has told partners that global production of the card in 2027 may not exceed 3 million units, and actual deliveries may be only 5% to 10%. The card uses the same GB202 chip as the RTX 5090, with memory increased from 32GB to 84GB, bandwidth reduced from about 1792

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Tuesday

  1. TechCrunch AI

    Tenstorrent raises $1.5B at a $6.2B valuation to expand open-weight AI chips

    AI chip startup Tenstorrent has completed a $1.5 billion funding round at a valuation of $6.2 billion, more than double its $2.6 billion valuation at the end of 2024. The round was led by Trace Capital and Innovation X, with participation from Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price. CEO Jim Keller said the company decided to remain independent and continue raising funds after demonstrating that its Galaxy servers can run DeepSeek models, and that the new capital will be used to expand chips for open-weight model inference and video generation.

    AI chip startup Tenstorrent has completed a $1.5 billion funding round at a valuation of $6.2 billion, more than double its $2.6 billion valuation at the end of 2024. The round was led by Trace Capital and Innovation X, with participation from Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price. CEO Jim Keller said the company decided to remain independent and continue raising funds after demonstrating that its Galaxy servers can run DeepSeek models, and that the new capital will be

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