Infinigence AI

Headlines · 5

1. 2d
   Token Rhythm passes 300,000 developers, launches Double 11 credit perks

   Token Rhythm, a Chinese model-aggregation platform often described as a local counterpart to OpenRouter, said it has passed 300,000 registered developers and is rolling out a Double 11 presale offer in which a single top-up of 50 yuan earns an equal amount of API credit, with no cap on the number of top-ups or total bonus. The platform offers a single API key as a unified entry point to mainstream models and pairs it with OpenSquilla, its self-developed open-source agent for multi-model routing. It also said all purchased and previously gifted credits never expire, and introduced an 18-yuan credit claim for newly verified users plus a referral program. The developer count and benefit terms come from the company's own announcement.

   量子位（原生 RSS） · 🔥 8
2. 2d
   Microsoft details Azure Maia 300, targeting large-scale deployment in 2027

   Microsoft chairman and CEO Satya Nadella announced on the evening of Oct 12 that the company plans to deploy Azure Maia 300 at scale in 2027, according to a TMTPost analysis. Microsoft says the chip uses a software-defined dataflow architecture and a chiplet design with its compute die on TSMC's N2P process, offering 18TB/s peak memory bandwidth per accelerator at 950W thermal design power, while a rack-level system of 96 accelerators provides 27.6TB of HBM capacity and 1.7PB/s of aggregate bandwidth; the company claims 40% more AI tokens per megawatt than leading GPU systems. The Maia line has moved from Maia 100 (November 2023) to Maia 200, released in January and now in production carrying Copilot workloads, to Maia 300 for 2027, though the article notes Microsoft still relies heavily on Nvidia GPUs and CUDA and says its custom silicon will not replace third-party supply.

   钛媒体 · 🔥 0
3. 3d
   QCon Shanghai 2026 to Focus on How AI Is Reshaping Software Engineering

   OSChina reports that QCon Shanghai 2026 will run from October 22–24 under the theme "From Agent to Loop: How Is AI Reshaping Software Engineering?" According to the announcement, frontline practitioners from companies including Alibaba, Tencent, ByteDance, Meituan, Xiaohongshu, Ant Group, Infinigence AI, StepFun, Kuaishou, Baidu, NetEase, Microsoft, Huawei, Trip.com and Ping An will share experience across AI applications, agent engineering, AI coding, infrastructure, data systems, quality, security, SRE and embodied intelligence.

   开源中国 · 🔥 0
4. 5d
   Infinigence AI raises 2.3B yuan Series C, total funding reaches 4.3B yuan

   Chinese AI infrastructure company Infinigence AI has closed a 2.3 billion yuan Series C round, bringing its cumulative funding to 4.3 billion yuan — a record for both a single round and total funding in China's AI infrastructure sector, according to multiple outlets. Founded in 2023 and incubated by the Tsinghua University electronics department's NICS-EFC lab, the company avoids building chips or training foundation models, instead working on heterogeneous compute scheduling and hardware-software co-optimization, and says its platform reaches 37,000P of compute across 16 mainstream chip types. It says daily token calls on its Agentic MaaS platform grew 40-fold from December, and that its cross-cluster heterogeneous PDD architecture cut first-token latency by 51.5% while reducing per-token cost by 37.5%; Bloomberg, citing people familiar with the matter, reported the company filed confidentially for a Hong Kong IPO.

   智东西 · 🔥 0
5. Oct 8
   Zhengxing Innovation launches 24/7 Physical AI retail solution with H1 and C1 robots

   At the 22nd Asia Pacific Retailers Convention and Exhibition (APRCE 2026), Zhengxing Innovation unveiled a Physical AI solution for open retail settings built around human-robot collaboration: the general-purpose bipedal humanoid H1, the wheeled-arm handling and shelf-restocking robot C1 designed for narrow aisles, and M1, a unified robot management platform handling task allocation, status monitoring and human takeover. The company says its in-house lightweight world-action model SLM-0.5 reaches 98.6% average task success on the LIBERO benchmark with 24x faster inference than mainstream approaches, and that its RLinf-based reinforcement-learning post-training system STEAM achieves 95% success on a designated-product restocking task. Commercial service is planned for 2027 via direct purchase or RaaS subscription, with joint testing alongside global retail chains.

   量子位（原生 RSS） · 🔥 0

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