OSS to provide Gen5, ruggedized, 3U, liquid-cooled, short-depth-server (SDS) to support autonomous construction and mining equipment manufacturer Approximately $2 million in orders expected in 2026, with a five-year pipeline of $10 million to $15 million ESCONDIDO, Calif., Feb. 11, 2026 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (OSS or the Company) (Nasdaq: OSS), a leader in rugged Enterprise Class compute for artificial intelligence (AI), machine learning (ML) and sensor processing at the edge, today ann ...

Core Viewpoint - Aixin Yuan Zhi (0600.HK), a leading company in AI perception and edge computing chips, has successfully listed on the Hong Kong Stock Exchange, becoming the first edge computing AI chip company to do so. Company Overview - Aixin Yuan Zhi specializes in AI inference system chips (SoC) focused on creating high-performance platforms for edge computing and terminal device AI applications [7][8]. - The company aims to build advanced AI computing infrastructure to promote the widespread adoption of AI [7]. Product Matrix and Industry Position - Aixin Yuan Zhi has maintained a leading position in the visual terminal computing sector, primarily providing high-performance products centered around smart visual perception SoCs, widely used in IP and coaxial cameras [9]. - As of September 30, 2025, the cumulative shipment of Aixin Yuan Zhi's visual terminal computing SoCs has exceeded 157 million units, with a market share of 6.8% in global visual edge AI inference chips, and 24.1% in the mid-to-high-end market [11]. - In the smart automotive sector, Aixin Yuan Zhi is the second-largest domestic supplier of smart automotive SoCs in China, according to data from Zhaoshang Consulting [13]. Key Products - The M55H SoC, Aixin Yuan Zhi's first product in the smart automotive field, has achieved significant recognition for its safety, stability, energy efficiency, image quality, and cost-effectiveness, with cumulative shipments exceeding 5.16 million units since its launch [15][16]. - The M76H SoC is designed for L2+ level ADAS applications, achieving up to 600 TOPS in specific models, and has secured design wins with two Tier 1 suppliers [19]. - The M57 series, a new generation of automotive chips, has improved performance with an NPU computing power of 10 TOPS and has received certifications for functional safety and cybersecurity [21]. Edge AI Inference - Aixin Yuan Zhi has established a technological advantage in the edge AI inference sector with the 8850 series SoCs, which provide competitive performance of 72 TOPS (INT4 precision) [22]. - Since its launch in 2023, the shipment of the 8850 series SoCs has exceeded 21,000 units in 2023 and is expected to surpass 100,000 units in 2024, making Aixin Yuan Zhi the third-largest supplier of edge AI inference chips in China with a market share of 12.2% [23][24]. Market Outlook - The global market for cloud, edge, and terminal AI inference chips is projected to grow significantly from 2020 to 2030, with a compound annual growth rate (CAGR) of 113.0% from 2020 to 2024 and 36.3% from 2024 to 2030 [26]. - The Chinese market for cloud, edge, and terminal AI inference chips is also expected to see substantial growth, with a CAGR of 112.8% from 2020 to 2024 and 48.3% from 2024 to 2030 [31]. Financial Data - The company's revenue is projected to grow from 2.30 billion RMB in 2024 to 4.73 billion RMB in 2025, with gross profit expected to increase from 0.54 billion RMB in 2024 to 0.99 billion RMB in 2025 [52][53].

Core Viewpoint - One Stop Systems (OSS) is showcasing its HSB Sensor Bridge technology at the AFCEA West conference, emphasizing its capabilities in real-time AI processing and multi-sensor data integration for defense applications [1][5]. Group 1: Technology and Demonstration - The HSB technology allows for heterogeneous sensor data, including video and imaging, to be aggregated, synchronized, and streamed into GPU memory for real-time processing, crucial for defense environments [2][3]. - The solution is designed to meet low latency, synchronization, and scalability requirements, enabling advanced AI applications such as vehicle situational awareness and command-and-control [2][3]. - The demonstration will highlight the production-ready architecture that supports rapid deployment and operational readiness in tactical edge environments [3][4]. Group 2: Strategic Importance - The HSB demonstration aligns with OSS's strategy to provide integrated solutions that simplify the deployment of AI systems in challenging environments, reducing integration risks [4]. - The architecture is designed to be scalable across various platforms, facilitating a faster transition from development to deployment for defense integrators [3][4]. - OSS's focus on cohesive architectures aims to enhance the performance and reliability of modern defense missions [4]. Group 3: Product Offerings - OSS offers ruggedized servers, compute accelerators, and storage solutions that cater to demanding applications across multiple industries, including defense [8][9]. - The company’s products are designed to handle the entire AI workflow, from data acquisition to deep learning and inference, ensuring high performance in challenging environments [9].

One Stop Systems Inc. (NASDAQ:OSS) is one of the hidden AI stocks under $10 to buy. On January 5, Alliance Global raised its price target for One Stop Systems to $9 from $8.50 while keeping a Buy rating following the company’s $22.4 million sale of its European value-added reseller, Bressner Technology, to Hiper Euro. The firm noted the sale price exceeded expectations and characterized the divested business as a minimal contributor to shareholder value due to its very low contribution margin. Consequent ...

Digi International (NasdaqGS:DGII) Q1 2026 Earnings call February 04, 2026 05:00 PM ET Company ParticipantsJamie Loch - CFORon Konezny - President and CEOConference Call ParticipantsAnthony Stoss - Partner and Senior Equity Research AnalystJames Fish - Managing Director and Senior Equity Research AnalystJosh Nichols - Senior Research AnalystScott Searle - Managing Director and Senior Equity Research AnalystTommy Moll - Managing Director and Senior Equity Research AnalystOperatorGood day everyone, and welcom ...

Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Quick Summary ChatGPT thinks Cloudlfare stock could trade lower over the next 60 days, projecting an average price around $168 by mid-April. Investors looking to trade the stock can build exposure incrementally using commission-free fractional shares on SoFi, starting with as little as $5, and new users can receive up to $1,000 in free stock. Rather than slowly scaling position size through a retail ac ...

Qualcomm Inc. (NASDAQ:QCOM) could deliver a better-than-expected December quarter thanks to Apple Inc. (NASDAQ:AAPL) strength, yet a softer smartphone market and higher operating costs may quickly dim the outlook.JPMorgan Securities has reduced its price forecast for Qualcomm to $195 from $210 while keeping an Overweight rating on the stock, according to a research note released Monday.The firm’s analysts, led by Samik Chatterjee, cited concerns about smartphone industry dynamics impacting the company’s lic ...

Core Insights - The Invesco NASDAQ Next Gen 100 ETF (QQQJ) is highlighted as a notable option for investors seeking exposure to promising tech stocks, despite the common focus on larger ETFs like QQQ and QQQM [1] - QQQJ, with a market capitalization of $883.64 million, primarily includes mid-cap and smaller large-cap stocks, featuring an average market cap of $23.88 billion across its 107 holdings [1] Group 1: ETF Overview - QQQJ has been operational for five years and serves as a proving ground for stocks aspiring to enter the Nasdaq-100 Index [1] - The ETF's holdings include companies that Morningstar identifies as top tech names, such as Fiserv and Akamai Technologies [1] Group 2: Notable Holdings - Fiserv (FISV), a key holding in QQQJ, is recognized for its core processing and complementary services for US banks, with shares considered 47% undervalued relative to a fair value estimate of $126 [1] - Akamai Technologies (AKAM) is another significant holding, noted for its investments in cloud computing and edge computing, with a strong network presence that positions it well against major competitors [1]

Industry Overview - The global satellite market is projected to grow significantly, reaching $108 billion by 2035, with optimistic estimates suggesting it could expand to $457 billion [1] - The growth is driven by private-sector initiatives deploying low-Earth orbit fleets for broadband, high-resolution imaging, and enhanced situational awareness [2] Company Positioning - Maris-Tech Ltd. is a leader in video and AI-based edge computing technology, focusing on the commercial space sector [1][6] - The company specializes in edge AI-accelerated video streaming and processing solutions tailored for resource-constrained platforms across various applications, including land, sea, air, and space [3] Technological Advancements - Maris-Tech has achieved a significant milestone by transitioning to active hardware testing and integration of its advanced payload, demonstrating high-performance edge computing and video processing in orbit [4] - The company's technologies include miniature, lightweight, low-power systems capable of multi-stream video encoding, ultra-low-latency transmission, and onboard AI capabilities [3] Strategic Opportunities - The commercial space sector presents a diversification opportunity for Maris-Tech, leveraging its strengths in defense situational awareness and unmanned systems through strategic partnerships [5] - The company emphasizes its established collaborations and flight-proven technology to meet the industry's growing demand for intelligent, autonomous on-orbit processing [5]

Core Insights - The report by Dongfang Securities highlights Moltbot as an open-source personal AI assistant framework that utilizes gateway scheduling and hybrid memory, enabling remote task execution through common chat applications [1] Technical Principles - Moltbot, formerly known as Clawdbot, operates through popular chat platforms like WhatsApp, Telegram, Slack, and iMessage, allowing users to command the AI assistant without switching applications [1] - The architecture of Moltbot is a long-term resident TypeScript CLI process that exposes a unified gateway for handling command requests from various communication channels [1] - The design prioritizes controllability with a serial scheduling model, where tasks are executed in a session-level queue to minimize race conditions and debugging complexity [1] Execution Layer - The Agent Runner employs a standard ReAct closed loop with engineering-level fault tolerance mechanisms, including dynamic prompt assembly and token window protection, ensuring stable operation during long tasks and multi-round tool calls [2] - The memory system records short-term memory in JSONL format and long-term memory in Markdown files, utilizing mixed recall methods to avoid reliance on black-box databases [2] - Moltbot isolates the Shell execution environment through Docker and uses semantic snapshots instead of visual screenshots to compress page states into structured text, significantly reducing token costs and interaction delays [2] Hardware Opportunities - The report suggests that local agents like Moltbot require 24/7 operation, leading to a shift from traditional high-power PCs to localized computing solutions [3] - Edge computing boxes, such as Mac mini, are identified as suitable for local execution and inference, driving demand for low-power, high-performance small hosts [3] - High-performance NAS devices are evolving into "home AI computing centers," suitable for hosting agent gateways and memory systems, with a focus on NPU integration and large memory capacity upgrades [3] Memory Architecture - The report emphasizes the need for innovative unified memory architectures to support Moltbot's reliance on long context and local models, as memory capacity and bandwidth are identified as bottlenecks [3] Power Requirements - The continuous operation of agents like Moltbot creates a demand for low-power computing solutions, with SoC designs that offer ultra-low power listening and wake control being more advantageous [3] Investment Recommendations - Suggested investments include SoC companies like Amlogic and Rockchip, GPU firms such as Cambricon and Loongson, and storage companies like Lianqi Technology [4]