In Hardware and Network news this week…

FS Launches 800G Muxponder to Power Next-Gen AI and Cloud Networks
FS launched D7070 series Integrated 800G Muxponder and thus extended its DCI product lineup to 800G line capacity. The 1U platform consolidates the current 100 GbE and 400GbE client services into four 800G coherent waves, providing 3.2 Tb/s aggregate line capacity across data centers, metro and regional networks. This launch is an important step for the Optical Networking, Telecommunications and Data Center Infrastructure industries, allowing scaling 800G transport into a flexible and open software architecture.

In Cybersecurity news this week…

Cloudera and NVIDIA Partner to Accelerate Apache Spark Pipelines and Slash Cloud Compute Spend
Cloudera, the industry leader in hybrid data platforms, has joined hands with NVIDIA and is now providing GPU-accelerated Spark 4.1 within Cloudera Data Engineering. The solution leverages the NVIDIA CUDA-X library (cuDF) and enables data engineering teams to accelerate workloads by up to 4x. The solution comes with the recently unveiled Cloudera Anywhere Cloud and helps organizations to accelerate ETL (extract, transform, load) processes without any change in the existing PySpark and SQL code.

In Business Technology news this week…

Bain & Company Partners with Anthropic to Drive Enterprise AI Transformations
Bain & Company has announced a strategic global partnership with AI research firm Anthropic, joining the Claude Partner Network as a ‘Global Premier’ partner to help enterprise clients accelerate from initial AI experimentation to full-scale, value-generating deployments. The collaboration unites Anthropic’s frontier Claude models with Bain’s industry expertise and 1,500-strong multidisciplinary team of AI, data, and analytics specialists to deliver end-to-end strategy, technology modernization, and AI-enabled operations.

In Artificial Intelligence news this week…

Seclore and Glean Partner to Deliver Context-Aware, Persistent Data Security for Enterprise AI
Seclore announced a strategic partnership with enterprise AI platform leader Glean. The integration unifies Glean’s enterprise context graph with Seclore’s ARMOR Data Security Posture Management (DSPM) and Enterprise Digital Rights Management (EDRM) capabilities. By writing persistent classifications and encryption controls directly onto source files, the joint solution ensures that sensitivity labels follow data wherever it travels—whether opened in native applications, shared externally, or surfaced through conversational AI.

In Big Data news this week…

SQD Partners with Google Cloud to Expand Blockchain Analytics Capabilities via BigQuery
SQD has announced a strategic partnership with Google Cloud to integrate its validated data pipelines into Google Cloud Web3 Blockchain Analytics within BigQuery. Executed through SQD’s enterprise division, SQD 360, the collaboration feeds cryptographically verified on-chain datasets directly into Google Cloud’s fully managed serverless platform, enabling developers, analysts, and enterprises to query structured blockchain records without running dedicated nodes.

In FinTech news this week…

Flagright Partners with Nacha to Enhance ACH Compliance and Risk Prevention
Flagright has officially been named a Nacha Preferred Partner for ACH Compliance, Fraud Monitoring, and Risk and Fraud Prevention, marking a significant milestone in its expansion across the payments landscape. Organizations utilize Flagright’s transaction monitoring engine to oversee incoming and outgoing ACH payment flows, detect deviations from normal behavior, and prioritize alerts based on dynamic risk parameters by leveraging customer-configured rules alongside machine-learning anomaly detection.

In Enterprise Software news this week…

NTT DATA Acquires Netgain to Build Sweden’s Largest Pure-Play ServiceNow Entity
Global digital business and IT services leader NTT DATA has announced the acquisition of Stockholm-headquartered ServiceNow specialist Netgain AB, combining its operational scale with The Cloud People acquired by NTT DATA in December 2025 to establish Sweden’s largest pure-play ServiceNow consultancy. Founded in 2008, Netgain brings approximately 60 specialists and over 160 certifications across IT Service Management (ITSM), Human Resources (HR), and Customer Service Management (CSM), expanding NTT DATA’s strategic presence and capacity across the Nordics and broader European markets.

In IT & DevOps news this week…

Progress Debuts Telerik and Kendo UI Updates for Agentic Application Build
Enterprise software leader Progress Software announced the latest release of Progress® Telerik® and Progress® Kendo UI®, introducing context-aware AI capabilities designed to streamline UI engineering and support agent-driven software architectures. The updated suite enables software engineering teams to transition from standard AI-assisted coding toward building production-ready applications that support interactions from both human users and autonomous AI agents.

Article of the Week

Cloud Security Best Practices: How Enterprises Can Protect Data, Applications and Cloud Infrastructure

With IaaS, the customer has a larger security responsibility because it controls more of the environment. Operating systems, applications, network settings, identities, and configurations can all sit within the customer’s area of control. With PaaS, the provider manages more of the underlying platform, but the customer still has to secure applications, data, identities, and configurations. SaaS moves more infrastructure responsibility to the provider, yet the customer still controls things such as user access, permissions, and data handling.

The post ITDigest’s Weekly News Roundup Featuring Anthropic, F5, Google Cloud, SQD, NTT DATA, Cloudera, Bain & Company and more appeared first on ITDigest.

As enterprises race to unlock AI business value, many face a fundamental data challenge: unstructured content is scattered across repositories, much of it has never been classified, and organizations lack the visibility and governance needed to make that data safely available to AI. In fact, a recent IBM study found that 77% of technology leaders say AI adoption is already outpacing their organization’s data governance capabilities.

Also Read: Movemint’s Embedded Personalization Platform Now Available to the Banking Sector

With the addition of DryvIQ, Nasuni enables enterprises to discover and classify content across more than 40 cloud and on-premises repositories, detect sensitive data, and automatically enforce governance policies before information is exposed to AI. The combination gives organizations a governed foundation to manage, protect, and activate their unstructured data, helping fuel AI initiatives with high-quality data while supporting compliance and optimizing infrastructure costs.

More information can be found in the press release. Let me know if you’re interested in speaking with a Nasuni executive on today’s news, how this acquisition builds on Nasuni’s broader platform expansion and previous acquisition of Resilio, and the company’s vision for enterprise data and AI – I’m happy to set up a call.

The post Nasuni Acquires DryvIQ to Bring AI-Powered Intelligence and Governance to Enterprise Unstructured Data appeared first on ITDigest.

While developers continue to build highly capable AI agents, operationalizing these models across multi-disciplinary teams frequently requires custom integrations, manual context sharing, and fragmented tool switching. Switch eliminates this coordination friction by establishing model- and platform-agnostic environments. Utilizing Model Context Protocol (MCP), standard APIs, and flexible adapters, the software allows engineering teams to connect agents built on diverse frameworks such as OpenAI, Claude Code, Google ADK, and LangChain without locking business workflows into a single vendor ecosystem.

“Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver,” said Mohammed Aboul-Magd, General Manager, SandboxAQ. “Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work.”

Also Read: DXC Technology and Primary Unveil AI-Native Zero Trust Platform to Secure Enterprise AI

Preserving Context and Eliminating Cross-Tool Friction

Engineered to transform standard chat channels into dedicated operational rooms, Switch maintains project timelines, resource files, and conversational history directly within the workspace. As specialists or specialized agents join, leave, or hand off tasks, project context remains intact—preventing information resets and accelerating output across complex enterprise workflows.

Key technical capabilities of Switch include:

Open-Source Architecture: Rapid deployment models for Quick Start and Team editions, allowing enterprise IT departments to deploy without vendor lock-in.

Framework Interoperability: Native compatibility for custom agents created via Claude Code, Google ADK, LangChain, OpenAI, and other prominent development suites.

Unified Channel Workspace: Embeds autonomous agents directly into existing corporate messaging systems, including Slack, Microsoft Teams, and Discord.

Persistent Context Preservation: Retains historical channel context, ongoing documentation, and operational rules through every task hand-off.

Multi-Room Agent Scalability: Permits a single AI agent to operate simultaneously across multiple project channels while preserving unique context boundaries for each room.

Real-World Multi-Disciplinary Applications

SandboxAQ’s internal engineering, design, and marketing teams utilized Switch throughout its own software development lifecycle. By structuring workflows around dynamic task channels, cross-functional teams applied specialized agents across distinct enterprise scenarios:

Incident Response: Security and DevOps engineering teams pull specialized diagnostic agents into live incident channels, instantly providing models with real-time system timelines without manual briefings.

Marketing Campaign Execution: Content teams staff campaign rooms with dedicated research, copywriting, and design agents, building assets sequentially within a shared history.

Legal Drafting & Review: Legal departments integrate contract drafting and compliance audit agents that maintain full deal history, compressing contract review cycles.

Ecosystem Expansion via Flint AI

Switch forms a core component of Flint AI, SandboxAQ’s dedicated suite of enterprise AI agent products. The software extends the local agent testing capabilities offered by the free Flint CLI tool, providing a direct pathway from individual model evaluation to full-scale team deployment inside enterprise environments.

The post SandboxAQ Open-Sources Switch to Bring AI Agents into Team Chat Platforms appeared first on ITDigest.

As AI models evolve toward smaller, more efficient architectures, more AI capability once dependent on the cloud is shifting to the edge. Physical AI systems must do more than recognize and analyze data; they must understand context, decide, and act in real time. Delivering sufficient inference within limited size, power, and compute budgets is key to accelerating adoption of intelligent machines and autonomous systems.

2X Inference Performance Redefines Entry-Level Edge AI

NVIDIA Jetson Orin Nano 2 expands the range of applications supported by entry-level edge AI platforms through higher compute density and energy efficiency. The platform delivers up to 78 TOPS of AI performance, paired with 8GB of memory and an 8-core Arm CPU, enabling developers to handle more complex AI inference, image analysis, and real-time workloads in a compact architecture.

NVIDIA Jetson Orin Nano 2 also emphasizes the energy efficiency real-world deployment demands. With enhanced Tensor Cores and memory bandwidth, it delivers up to 2x the inference performance of Jetson Orin Nano Super in the same compact form factor and 40W power envelope, while its 15W mode cuts power consumption by up to 40% at equivalent performance, giving edge devices greater flexibility in thermal design, power budgeting, and long-term stability. These gains extend AI workloads once reserved for higher-tier platforms down to entry-level edge devices, providing a flexible compute foundation for smart robots, delivery/inspection drones, smart cameras, industrial automation, and autonomous systems.

Bringing Generative AI and Multimodal Intelligence to Physical AI

Beyond conventional image recognition and AI inference, NVIDIA Jetson Orin Nano 2 is designed to address the demands of next-generation generative AI and multimodal models, enabling large language models (LLMs) and vision language models (VLMs) to run directly in memory- and power-constrained edge environments.

Powered by NVIDIA’s open AI software stack, Jetson agent skills, and a comprehensive AI ecosystem, developers can run NVIDIA Cosmos, NVIDIA Nemotron, Gemma 4, and Qwen 3, accelerating A applications with natural language understanding, visual reasoning, contextual awareness, and autonomous decision-making.

For intelligent machines, this means AI is no longer limited to passively recognizing objects; it can understand what is happening, reason from language and visual cues, and act in real time. Autonomous mobile robots, for example, can perform perception and task understanding simultaneously, while Vision AI systems evolve into agents with greater semantic understanding.

From Platform Integration to Real-World Deployment, Accelerating Edge AI Adoption

As NVIDIA Jetson Orin Nano 2 raises the performance bar for entry-level edge AI, integrating peripherals, thermal design, power, and software become key to moving products from concept to deployment. Aetina has extensive experience with the NVIDIA Jetson platform and provides comprehensive solutions spanning carrier boards, edge AI systems, peripheral integration, BSP customization, and technical support, helping customers shorten system integration and product development cycles.

With NVIDIA Jetson Orin Nano 2 modules expected to become available in the first half of 2027, Aetina will continue to expand its related edge AI computing platforms and system solutions, helping developers and enterprises get ahead in deploying Physical AI applications such as intelligent robotics, Vision AI, and autonomous systems, accelerating both product development and market adoption.

About Aetina

Aetina, a provider of state-of-the-art AI solutions, offers a wide range of AI computing systems, platforms, hardware, and software tools ideal for the creation of different types of vertical AI. Aetina’s integrated solutions empower its Arm, x86 computers, GPUs, ASIC hardware, cloud management software, and development tools with artificial intelligence, delivering comprehensive, tailor-made hardware and software suites to enable smooth, quick system intellectualization progress at the edge. With its ecosystem network, Aetina makes the creation and deployment of any specific AI-powered applications highly achievable by leveraging its global partners’ AI technologies.

The post Aetina Supports NVIDIA Jetson Orin Nano 2 for Next-Generation Physical AI Edge Applications appeared first on ITDigest.

Also Read: Elastic Completes Acquisition of Deductive AI to Enhance Observability Capabilities 

Highlighting the strategic focus of the alliance, Philippe d’Arabian, executive vice president and global head of partnerships at Bain & Company, stated: “Our partnership with Anthropic brings together its frontier AI technology with Bain’s deep strategic and industry expertise to help clients turn the potential of AI into meaningful business results. By bringing Anthropic into our ecosystem, we’re giving clients access to leading AI capabilities alongside the expertise needed to deploy them effectively and translate that technology into lasting business value.” Emphasizing the operational momentum behind the joint venture, Steve Corfield, global head of business development and partnerships at Anthropic, added: “More than 7,000 Bain employees were actively using Claude within weeks of the firm-wide deployment. The speed and breadth of that adoption signal what’s possible when the right technology is paired with the expertise to deploy it effectively, and that’s exactly what this partnership delivers for Bain’s employees and clients.” Ultimately, this partnership provides global enterprises with a validated framework to operationalize generative AI safely, scale technical productivity, and achieve measurable business outcomes.

Read More: Bain & Company announces partnership with Anthropic to accelerate clients’ enterprise AI transformations

The post Bain & Company Partners with Anthropic to Drive Enterprise AI Transformations appeared first on ITDigest.

Also Read: Tech Mahindra and ServiceNow Expand Partnership to Drive Enterprise AI at Scale

“Engineering teams today are drowning in telemetry but starved for answers. We have been building AI into Elastic Observability to move teams from detection to resolution faster. Deductive AI brings a sophisticated reinforcement learning harness for root cause analysis that accelerates this work. Together with the depth of telemetry and context in Elastic, it brings us closer to fundamentally changing how production incidents are investigated.” Emphasizing the expanded reach of their shared vision, Rakesh Kothari, former chief executive officer and cofounder, Deductive AI, added: “We’ve always believed that engineering teams deserve better than hours spent manually tracing the root cause of every incident. Joining Elastic lets us bring that conviction to a much larger audience and dramatically accelerate the development of AI-powered investigation capabilities. The opportunity ahead is unlike anything we could have built on our own.” Ultimately, existing Deductive AI customers will continue to receive support as Elastic integrates the platform and prepares to outline future product roadmap details in the coming months.

Read More: Elastic Completes Acquisition of Deductive AI

The post Elastic Completes Acquisition of Deductive AI to Enhance Observability Capabilities appeared first on ITDigest.

In Hardware and Network news this week…

Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle
Lightyear has introduced an agentic platform designed to modernize the enterprise telecom lifecycle through AI-driven automation. The platform aims to streamline processes such as network procurement, management, and optimization, helping organizations reduce manual work and improve visibility across telecommunications infrastructure. As enterprise connectivity becomes increasingly complex, intelligent automation can help businesses manage telecom environments more efficiently.

In Business Technology news this week…

CIT Launches Business Builders and Agentic Enterprise Reinvention Offering
CIT has launched its Business Builders and Agentic Enterprise Reinvention offering to help organizations rethink operations around AI-powered automation. The initiative focuses on enabling businesses to identify opportunities where agentic AI can transform workflows, improve productivity, and create new operating models. The move reflects a broader shift from deploying isolated AI tools toward redesigning business processes around intelligent systems.

In Artificial Intelligence news this week…

F5 Launches Agentic-Ready AI Gateway to Optimize Enterprise AI Economics and Governance
F5 has introduced an agentic-ready AI Gateway aimed at helping enterprises manage the growing complexity and cost of AI deployments. The platform provides capabilities designed to improve governance, visibility, and control across AI workloads while helping organizations manage usage and economics. As enterprises deploy multiple AI agents and models, centralized oversight will become increasingly important for controlling costs and reducing risk.

In Quantum Computing news this week…

IBM Advances Quantum Computing with First Modular Cryogenic System Milestone
IBM has reached a milestone in quantum computing with the development of a modular cryogenic system designed to support the scaling of quantum infrastructure. Cryogenic systems are essential for operating many quantum processors, making advances in this area important to the industry’s long-term scalability. The development demonstrates IBM’s continued focus on building the underlying infrastructure needed for increasingly powerful quantum systems.

In FinTech news this week…

Thunes Partners with Fiserv to Power Real-Time Global Payouts
Thunes and Fiserv have partnered to strengthen real-time global payout capabilities for businesses and financial institutions. The collaboration is designed to make cross-border payments faster and more efficient while improving the infrastructure supporting international money movement. As businesses operate across increasingly global digital markets, faster and more seamless payment networks are becoming a competitive advantage.

In HealthTech news this week…

Oracle Health Expands Clinical AI Agent with Automated Coding and Chart Review
Oracle Health is expanding its clinical AI agent with capabilities for automated coding and chart review. The technology is designed to reduce administrative workloads for healthcare professionals and help organizations process clinical information more efficiently. Automating documentation-related activities could give clinicians more time to focus on patient care while improving consistency across healthcare workflows.

In IT & DevOps news this week…

GitLab Expands Agentic AI Across Software Delivery to Accelerate Enterprise Development
GitLab is expanding agentic AI capabilities across the software delivery lifecycle to help development teams automate and accelerate application development. By embedding intelligent agents into development and delivery workflows, organizations can streamline repetitive tasks, improve productivity, and gain greater insight into software operations. The expansion signals a broader industry movement toward AI-native software engineering.

Article of the Week

Challenges of Managing Hybrid Cloud Environments: How Enterprises Can Improve Security, Visibility and Performance

Hybrid cloud environments give enterprises flexibility to combine public cloud, private infrastructure, and on-premises systems, but they also introduce challenges around security, visibility, governance, and performance. Organizations need centralized monitoring, consistent security policies, strong identity controls, and effective workload management to maintain control across distributed environments. As businesses increasingly adopt hybrid architectures to balance flexibility with compliance and performance requirements, a structured cloud management strategy will be essential for achieving long-term operational resilience.

The post ITDigest’s Weekly News Roundup Featuring Lightyear, F5, IBM, Thunes, Fiserv, Oracle Health, GitLab and more appeared first on ITDigest.

Also Read: LTM and Anthropic Form Alliance to Drive Enterprise Claude Adoption

Highlighting the value of this validated approach, Bill McDermott, Chairman and CEO of ServiceNow, stated: “It takes an ecosystem to reinvent business. We’re proud to partner with Tech Mahindra, combining our AI Control Tower with their deep industry expertise to put AI to work at enterprise scale. AI only matters when it creates value for people. Tech Mahindra is already turning that vision into business results. With the ServiceNow AI Platform, they’re driving significant cost benefits, elevating experiences for 150,000 employees, and optimizing first-level IT support by ~25%. Now we’re taking that winning formula to our customers.” Reaffirming the focus on governed execution, Mohit Joshi, Chief Executive Officer at Tech Mahindra, added: “Enterprises are entering a new phase of AI adoption where the priority is no longer experimentation, but trusted execution at scale. To unlock meaningful business value, AI must be embedded into the systems, workflows, controls, and operating models where enterprise work actually happens. Our expanded partnership with ServiceNow brings together platform strength, industry context, AI governance, and transformation capability to help customers operationalize AI responsibly, accelerate productivity, and create measurable outcomes across the enterprise.”

Read More: Tech Mahindra and ServiceNow Expand Partnership to Deliver Production-Ready Enterprise AI at Scale

The post Tech Mahindra and ServiceNow Expand Partnership to Drive Enterprise AI at Scale appeared first on ITDigest.

Drawing on live context from Hexnode’s Unified Endpoint Management (UEM) platform, Hexnode Context Layer helps Genie AI translate natural-language requests into relevant endpoint workflows through a single conversational experience.

The announcement comes as AI takes on a larger role in the Middle East’s enterprise technology landscape. For IT teams, the priority is increasingly on applying AI where it can reduce operational complexity and support more efficient IT management.

How the Hexnode Context Layer works with Genie AI

Hexnode Context Layer serves as the orchestration and governance layer between Hexnode Genie AI and Hexnode UEM. When an administrator submits a natural-language request, Genie AI interprets the intent and passes it to the Context Layer, which automatically routes the request to the appropriate specialized agent within Hexnode UEM, eliminating the need for administrators to select one manually.

Using live fleet context from Hexnode UEM, Hexnode context layer coordinates end-to-end device management workflows spanning policy creation, app deployment, device actions and status tracking, while keeping consequential actions subject to administrator approval.

Also Read: Aetina Launches Palm-Sized In-Vehicle Edge AI Systems with 4x GMSL2 for Demanding Mobility

Specialized agents for core UEM workflows

The Hexnode Context Layer draws on a set of specialized agents, each mapped to a category of UEM workflow:

Device Management for fleet discovery, configuration, telemetry, remote commands and lifecycle actions.

User and Group Management for identity lifecycle, group enrollment and directory hierarchies.

Policy and Configuration for drafting, validation, matching and deviation tracking.

Application Management for store discovery, software repositories, catalogs and portal profiles.

Operational Reporting for data usage metrics and fleet allocation performance.

Together, these specialized agents enable Genie to reason across different areas of endpoint management, reducing the need for administrators to navigate multiple workflows.

“IT admins today sit at the intersection of every incident, every access decision and every compliance check, and the tools they use have not kept up. Hexnode’s focus is on bringing these areas onto one intelligent platform, so admins can spend their time acting on the fleet, not navigating between systems built to manage it,” said Apu Pavithran, CEO and Founder of Hexnode.

What’s next for Hexnode Context Layer

Hexnode Context Layer represents the next step in Hexnode’s development of autonomous endpoint management. Over time, Hexnode also intends to extend this architecture across Hexnode XDR and Hexnode IdP, supporting more coordinated workflows across endpoint management, identity and security while maintaining enterprise-grade administrative controls.

About Hexnode

Hexnode is a leading provider of enterprise solutions that streamline device management, user identity, and endpoint security. Hexnode’s platforms include Hexnode UEM for autonomous and AI-powered endpoint management, Hexnode XDR for intelligent threat detection and response, and Hexnode IdP for secure, context-aware identity and access management. Empowering businesses in over 130 countries, Hexnode continues to build a seamless ecosystem of connected tools, one solution at a time.

The post Hexnode introduces Hexnode Context Layer, enabling Agentic AI for endpoint management in the Middle East appeared first on ITDigest.

Compact Compute for Multi-Camera AI Vision

As AI-powered vision systems become increasingly essential across smart cities, intelligent transportation, and industrial automation, real-time processing of high-quality, multi-camera video streams within space-constrained environments remains a persistent challenge. The AIE-VN34/44 and AIE-VO24/34 address this directly: powered by NVIDIA Jetson Orin NX (8GB/16GB) and NVIDIA Jetson Orin Nano with Super Mode (4GB/8GB), the systems deliver up to 100 TOPS and 67 TOPS of AI performance respectively, packed into a palm-sized 136.3 x 132 x 63 mm chassis. Each system features four GMSL2 (Fakra-Z) ports, enabling long-distance, low-latency multi-camera streaming, real-time AI inference, and 360-degree environmental perception for surround-view monitoring, blind-spot detection, and situational awareness.

To accelerate system integration, the AIE-VN34/44 and AIE-VO24/34 can be flexibly expanded with Aetina validated GMSL2 adapter boards and camera modules, which support with plug-and-play driver-ready for long-distance image transmission of up to 15 meters. This bundle offering brings together camera sensing, high-speed visual data transmission, and NVIDIA Jetson Orin–powered edge inference, helping customers simplify system integration, shorten development and validation cycles, and achieve highly scalable, customizable AI deployment.

Also Read: d-Matrix Acquires Wallaroo.ai to Accelerate AI Deployment

Rugged, Fanless Design for Continuous Field Operation

Engineered for demanding mobile and industrial applications, the AIE-VN34/44 and AIE-VO24/34 pair rugged reliability with flexible connectivity. Both systems have passed MIL-STD-810H shock and vibration testing and carry E-Mark (E24) certification for automotive electronic equipment, streamlining integration into global vehicle markets. A fanless architecture supports stable, throttle-free operation from -25°C to +55°C, while a 9–36V DC wide-voltage input and integrated Ignition Power Control protect against voltage fluctuations and enable safe startup and shutdown. Isolated CAN FD and GPIO/RS-232 interfaces connect vehicle signals, controllers, sensors, and industrial peripherals, complemented by Gigabit Ethernet (GbE), USB 3.2, HDMI, M.2 M-Key storage, and optional M.2 E-Key wireless expansion.

Scaling Edge AI Vision Across Transportation, Robotics, and Industrial Automation

The convergence of V2X and edge computing continues to drive demand for compact, rugged in-vehicle computing platforms that capable of processing multi-camera vision data locally and in real time. The AIE-VN34/44 and AIE-VO24/34 turn visual data into actionable intelligence for AI agents and autonomous systems, supporting surround-view monitoring and blind-spot detection for commercial vehicles, obstacle avoidance and path planning for AMRs, real-time defect inspection on production lines, and people tracking and security monitoring across smart retail and building environments.

James Ho, Manager of Edge Computing Product Division at Aetina, stated: “As real-time, multi-camera perception becomes the sensing layer for AI agents operating in vehicles, AMRs, and industrial equipment, customers need edge compute that is rugged enough for the field and ready for mass production from day one, Aetina’s palm-sized in-vehicle edge AI systems bring four-camera GMSL2 support, automotive-grade certification, and NVIDIA Elite Partner-backed BSP support together in one rugged multi-vision platform, helping customers simplify integration and accelerate the deployment of intelligent vision at the edge.”

The AIE-VN34/44 and AIE-VO24/34 are available now for mass production, supporting BSP built on NVIDIA JetPack 6.2, with NVIDIA JetPack 7.2 support to be added soon. For more information on Aetina’s edge AI computing portfolio, please visit : www.aetina.com

The post Aetina Launches Palm-Sized In-Vehicle Edge AI Systems with 4x GMSL2 for Demanding Mobility appeared first on ITDigest.