# networking Published articles for networking. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Cisco integrates Axis devices, bringing unified management across IT environments DevFeed: [Cisco integrates Axis devices, bringing unified management across IT environments]() Original publisher: [Read original article]() Author: Jonathan Cohn Published: 2026-09-16T15:00:57Z Content type: release Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Cisco Meraki](), [Security](), [dashboards](), [Network](), [Cloud](), [Internet of things]() Tags: [analytics](), [cisco](), [cisco-cloud-control](), [cisco-meraki](), [cisco-networking](), [cloud](), [communications](), [infrastructure](), [internet-of-things](), [networking](), [security]() ### AI overview Cisco announces an integration with Axis Communications that brings network and physical security management into its cloud-managed ecosystem. The article describes Cisco Meraki dashboard management, shared visibility, and potential operational benefits for IT and physical security teams. ### Source excerpt Cisco and Axis Communications are committed to bridging the gap between IT and physical security infrastructure, as we believe that close collaboration between these teams leads to a stronger, more comprehensive security strategy. ## NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut DevFeed: [NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut]() Original publisher: [Read original article]() Author: Zhihan Jiang Published: 2026-09-16T15:00:48Z Content type: article Language: en Sources: [NVIDIA Blog]() Topics: [NVIDIA Vera Rubin](), [Vera Rubin NVL72](), [benchmarking](), [Inference Performance](), [Dynamo](), [vllm](), [Nvidia](), [TensorRT-LLM]() Tags: [ai-infrastructure](), [benchmarks](), [dynamo](), [efficiency](), [hardware](), [inference](), [mlperf](), [networking](), [nvidia](), [nvidia-vera-rubin](), [nvl72](), [optimization](), [performance](), [software](), [tensorrt](), [tensorrt-llm](), [vera-rubin-nvl72](), [vllm]() ### AI overview NVIDIA reports MLPerf Inference v6.1 preview results for Vera Rubin NVL72 and GB300 NVL72 systems. Vera Rubin NVL72 delivered up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and up to 2.5x higher throughput on DeepSeek-R1, while a four-rack GB300 NVL72 submission achieved 99% scaling efficiency. The results used vLLM, NVIDIA Dynamo, and TensorRT-LLM. ### Source excerpt System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue. Efficient scaling means throughput grows proportionally as hardware gets added, requiring fewer resources to serve users at scale. Continuous optimization means generating more value from infrastructure investments. [...] ## Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI DevFeed: [Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI]() Original publisher: [Read original article]() Author: Matt Foster Published: 2026-09-16T07:15:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Artificial Intelligence](), [cloud-infrastructure](), [Magic Pocket](), [data centers](), [networking]() Tags: [ai](), [ai-architecture](), [ai-ml-data-engineering](), [capacity](), [cloud](), [data-center](), [data-storage](), [devops](), [dropbox](), [dropbox-datacenter](), [efficiency](), [infrastructure](), [infrastructure-optimisation](), [magic-pocket](), [ml-data-engineering](), [networking](), [news](), [optimization](), [storage](), [sustainable-computing]() ### AI overview Dropbox describes how long-running infrastructure optimization helps it accommodate growing AI demand by improving forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery. Its storage infrastructure has used more than 50% less power per petabyte since 2020. ### Source excerpt Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom. By Matt Foster ## Cornelis and Delos Data propose open alternatives to Nvidia's NVLink for AI scale-up networking DevFeed: [Cornelis and Delos Data propose open alternatives to Nvidia's NVLink for AI scale-up networking]() Original publisher: [Read original article]() Author: Tobias Mann Published: 2026-09-15T20:56:48Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [NVLink](), [AI Networking](), [Nvidia](), [networking](), [Hardware](), [High-Performance Computing]() Tags: [ai](), [ai-networking](), [cornelis-networks](), [delos-data](), [hardware](), [high-performance-computing](), [network](), [networking](), [nvidia](), [nvlink](), [performance](), [software](), [systems]() ### AI overview The article reports that Cornelis Networks and Delos Data have entered the AI scale-up networking market with proposed alternatives to Nvidia's NVLink. Cornelis introduced its open Active Compute Fabric architecture, which combines programmable in-network compute with scale-up and scale-out networking, while the broader market is developing alternatives using protocols such as Ultra Ethernet and UALink. ### Source excerpt Intel spin-off Cornelis and newcomer Delos Data pitch open alternatives for scaling AI beyond the rack ## AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories DevFeed: [AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories]() Original publisher: [Read original article]() Author: NVIDIA Writers Published: 2026-09-15T16:55:40Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [AI Infrastructure](), [Nvidia](), [DSX](), [Vera Rubin](), [Low-Latency Inference](), [NVLink](), [Conversational AI]() Tags: [ai](), [ai-infrastructure](), [dsx](), [inference](), [infra](), [latency](), [low-latency-inference](), [networking](), [nvidia](), [nvidia-blackwell](), [nvidia-dsx](), [nvidia-vera](), [nvidia-vera-rubin](), [nvlink]() ### AI overview NVIDIA's AI Infra Summit coverage describes collaborations and platform updates focused on improving AI factory efficiency. The article highlights Vera Rubin systems, DSX MaxLPS, Dynamo inference software, NVLink and networking technologies, including claims of up to 1.4x more tokens per megawatt through factory-wide power optimization. ### Source excerpt Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech. Before a packed audience -- with more than 8,000 attendees this year, up from 3,500 last year -- [...] ## How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories DevFeed: [How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-09-15T16:55:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [NVLink](), [Nvidia](), [AI Factory](), [AI Infrastructure](), [Hardware]() Tags: [agentic-ai-generative-ai](), [ai](), [ai-factory](), [ai-infrastructure](), [data-center-cloud](), [hardware](), [industry](), [networking](), [networking-communications](), [nvidia](), [nvlink](), [resiliency](), [vera-rubin]() ### AI overview The article describes how NVIDIA NVLink 6 supports resiliency in large-scale AI factories. It explains that Vera Rubin NVL72 connects 72 Rubin GPUs into a single scale-up domain and outlines a multilayer approach using lossless networking, error correction, retry, flow control, and error containment to support continuous training and inference operations. ### Source excerpt For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster... ## How WebRTC Scales: Signaling, NAT Traversal, and the Mesh/SFU/MCU Tradeoff DevFeed: [How WebRTC Scales: Signaling, NAT Traversal, and the Mesh/SFU/MCU Tradeoff]() Original publisher: [Read original article]() Author: Karan Pratap Singh Published: 2026-09-15T15:57:39Z Content type: article Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [WebRTC](), [real-time](), [browsers](), [API](), [JavaScript](), [WebSocket](), [Firewall](), [Network](), [servers]() Tags: [api](), [browsers](), [decoding](), [distributed-system](), [firewall](), [http](), [javascript](), [network](), [networking](), [real-time](), [server](), [webrtc]() ### AI overview This article explains how WebRTC enables browsers to exchange audio, video, and data directly. It covers the three WebRTC APIs, signaling through WebSockets or HTTP, NAT traversal using ICE, STUN, and TURN, and the mesh, SFU, and MCU approaches to scaling media delivery. ### Source excerpt Web Real-Time Communication (or WebRTC) is the open standard browsers use to send audio, video, and data straight to each other. There's no plugin or native app, nothing beyond an API that every brows ## Running a Self-Hosted Tailscale Control Server Behind a Reverse Proxy DevFeed: [Running a Self-Hosted Tailscale Control Server Behind a Reverse Proxy]() Original publisher: [Read original article]() Author: Philipp Lehmann (philipp.lehmann@gruppe.ai) Published: 2026-09-15T07:00:00Z Content type: tutorial Language: en Sources: [Philipp Lehmann]() Topics: [tailscale](), [proxy](), [traefik](), [TLS (Transport Layer Security)](), [TLS handshake](), [Self-hosted](), [Homelab]() Tags: [dns](), [docker](), [h2](), [homelab](), [networking](), [proxy](), [reverse-proxy](), [security](), [self-hosted](), [tailscale](), [tls](), [tls-handshake](), [traefik]() ### AI overview This tutorial explains how to run a self-hosted Tailscale control server, Headscale, behind Traefik. It finds that the reverse proxy must use TLS with HTTP/1.1 only because Tailscale's noise handshake expects a full-duplex byte stream and can fail when ALPN negotiates HTTP/2. ### Source excerpt Headscale behind Traefik: tls.options=no-h2@file with alpnProtocols http/1.1, because the Tailscale noise handshake breaks when ALPN negotiates h2. ## FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics DevFeed: [FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-14T17:34:25Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [GPU](), [InfiniBand](), [Networks](), [Ethernet](), [datacenter](), [Nvidia](), [data]() Tags: [announcement](), [data-center](), [enterprise](), [ethernet](), [gpu](), [infiniband](), [networking](), [networks](), [nvidia]() ### AI overview FS presents a two-part optics portfolio for AI networking: 400G, 800G, and 1.6T Scale-Out transceivers for links within GPU clusters, plus 400G and 800G Scale-Across coherent modules for connecting clusters across sites up to 500 km. The announcement also introduces the BOX 5 Ultra handheld toolkit for configuring, validating, and monitoring transceivers from 100M to 1.6T. ### Source excerpt FS has organized its AI optics into a two-part portfolio: Scale-Out transceivers at 400G, 800G, and 1.6T for the links inside a GPU cluster, and Scale-Across coherent modules at 400G and 800G for stitching clusters together across sites at distances up to 500 km. The Scale-Out side covers Ethernet, RoCE, and InfiniBand fabrics between GPU The post FS Pairs 1.6T Scale-Out Optics With 500 km Coherent Modules and a Handheld Toolkit for AI Fabrics appeared first on StorageReview.com. ## Bringing QUIC to Seastar DevFeed: [Bringing QUIC to Seastar]() Original publisher: [Read original article]() Author: Cynthia Dunlop Published: 2026-09-14T13:02:07Z Content type: article Language: en Sources: [ScyllaDB]() Topics: [Seastar](), [networking](), [Remote Procedure Call (RPC)](), [C++](), [Latency](), [Protocol (disambiguation)]() Tags: [benchmarks](), [c-plus-plus](), [collaboration](), [engineering](), [latency](), [network](), [networking](), [rpc](), [scylladb](), [seastar](), [udp]() ### AI overview This article describes a University of Warsaw student project conducted with ScyllaDB to implement a QUIC transport for Seastar using the sans-I/O ngtcp2 library. It also adapts Seastar's RPC layer to operate over QUIC and reports benchmark results showing predictable overhead on a lossless loopback and benefits when packets are dropped. ### Source excerpt We built a QUIC transport for Seastar on top of ngtcp2's sans-I/O state machine, then adapted RPC to it twice: 1) as a one-to-one socket replacement, and 2) a QUIC-aware approach that opens a fresh stream per call. ## Building for the AI era: Inside Cisco IT's Wi-Fi 7 revolution DevFeed: [Building for the AI era: Inside Cisco IT's Wi-Fi 7 revolution]() Original publisher: [Read original article]() Author: Chris Tomazic Published: 2026-09-14T13:00:21Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Wi-Fi 7](), [Cisco IT](), [cisco networking](), [networking](), [Deployment](), [Latency](), [Security](), [Authentication]() Tags: [authentication](), [cisco-catalyst-center](), [cisco-it](), [cisco-meraki](), [cisco-networking](), [cisco-on-cisco](), [deployment](), [enterprise-networking](), [infrastructure](), [latency](), [network-automation](), [networking](), [security](), [wi-fi-7]() ### AI overview Cisco IT describes a global Wi-Fi 7 rollout for 90,000 employees and hundreds of facilities. Its integrated Cisco networking portfolio, prior preparation with Wi-Fi 6 and 6E, certificate-based authentication, and Meraki Dashboard experience helped make the upgrade routine, seamless, and free of downtime. ### Source excerpt Cisco IT upgraded to Wi-Fi 7 for 90,000 employees with zero downtime and record speed. See how a fully integrated Cisco networking stack, built for the AI era, made a complex global rollout simple and seamless. ## I Added Break-Glass Accounts Before My Home Lab Locked Me Out DevFeed: [I Added Break-Glass Accounts Before My Home Lab Locked Me Out]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-14T12:16:15Z Content type: article Language: en Sources: [Virtualization Howto]() Topics: [Homelab](), [Authentication](), [Single sign-on (SSO)](), [Docker](), [Database](), [networking](), [Server](), [Amazon Route 53]() Tags: [authentication](), [container](), [database](), [dns](), [docker](), [home-lab](), [home-server](), [infrastructure](), [networking](), [server](), [sso]() ### AI overview The article explains why a home lab that centralizes authentication through single sign-on can become inaccessible during an outage. It introduces "break glass" accounts as a recovery measure and emphasizes treating the authentication service as infrastructure with dependencies such as its application, database, certificates, networking, reverse proxy, and DNS. ### Source excerpt One of the coolest things that you can do is centralize your authentication in the home lab. So, instead of having all kinds of separate usernames and passwords that are... The post I Added Break-Glass Accounts Before My Home Lab Locked Me Out appeared first on Virtualization Howto. ## Cilium 1.20: Gateway API ExternalAuth, TCPRoute/UDPRoute, ENI IPAM for IPv6, and more DevFeed: [Cilium 1.20: Gateway API ExternalAuth, TCPRoute/UDPRoute, ENI IPAM for IPv6, and more]() Original publisher: [Read original article]() Author: Nico Vibert and Donia Chaiehloudj, Cilium Published: 2026-09-14T10:45:49Z Content type: article Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Cilium](), [Open Source](), [API](), [networking](), [Kubernetes](), [Amazon Web Services](), [eBPF](), [VPC](), [nginx]() Tags: [2026](), [api](), [authentication](), [authorization](), [aws](), [blog](), [cilium](), [cloud](), [cni](), [ebpf](), [google](), [ingress-nginx](), [ipv4](), [ipv6](), [kubernetes](), [microsoft](), [network](), [networking](), [nginx](), [open-source](), [release]() ### AI overview Cilium 1.20 expands Gateway API support with ExternalAuth, CORS filters, ListenerSets, TCPRoute, and UDPRoute. The release also introduces extensible datapath plugins, advances networking standardization with Kubernetes, and adds beta IPv6 support for AWS ENI IPAM. ### Source excerpt Cilium 1.20, the second major open source Cilium release of 2026 after Cilium 1.19, is finally here. Three themes stand out in this release: Thank you to every contributor, reviewer and maintainer who made Cilium 1.20... ## nginx: The Map Variable That Fixes the URI in proxy\_pass DevFeed: [nginx: The Map Variable That Fixes the URI in proxy\_pass]() Original publisher: [Read original article]() Author: Philipp Lehmann (philipp.lehmann@gruppe.ai) Published: 2026-09-14T07:00:00Z Content type: tutorial Language: en Sources: [Philipp Lehmann]() Topics: [nginx](), [proxy](), [Caching](), [configuration]() Tags: [cache-control](), [ci-cd](), [configuration](), [docker](), [networking](), [nginx](), [observability](), [proxy](), [reverse-proxy]() ### AI overview This article explains an nginx build failure caused by using a URI-bearing proxy_pass inside a regex location. A newer nginx version treated the previously accepted configuration as an error. The proposed fix uses a bare upstream in the regex location and a map on $uri to apply a path-specific Cache-Control policy. ### Source excerpt nginx: [emerg] invalid URI prefix in proxy_pass: a regex location needs a bare upstream, and a map on $uri keeps a path-specific Cache-Control header. ## Configuring Management IP Addresses to Virtual Network Devices DevFeed: [Configuring Management IP Addresses to Virtual Network Devices]() Original publisher: [Read original article]() Published: 2026-09-14T05:29:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [networking](), [configuration](), [Orchestration](), [Vagrant](), [Cloud](), [ssh]() Tags: [cli](), [cloud](), [devices](), [dhcp](), [ip](), [ipv4](), [ipv6](), [management](), [netlab](), [network](), [networking](), [orchestration](), [server](), [ssh]() ### AI overview The article explains how to assign predictable management IP addresses to virtual network devices. It contrasts manual console-based setup with automated assignment through orchestration, containers, DHCPv4/DHCPv6, custom Vagrant boxes, and IPv6 mechanisms such as SLAAC. ### Source excerpt It goes without saying that if you want to configure (virtual) network devices with any semi-sane configuration mechanism1, the device must have a working IP address. Here's the time-honored method2 to assign an IP address to a virtual network device: Start the virtual machine (using a GUI)3 Open a new window: either a telnet session to the virtual console port or a full-blown virtual console (GUI) session. Manually configure the IP address, the SSH server, and the user credentials on the first interface. Read more ... ## Linux 7.3-rc3 Released: "Another Fairly Large RC" DevFeed: [Linux 7.3-rc3 Released: "Another Fairly Large RC"]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-13T22:00:23Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Large Language Model](), [LLMs]() Tags: [desktop-linux](), [drivers](), [filesystem](), [gpu](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [llms](), [networking](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview Linux 7.3-rc3 is described as a relatively large release candidate, with substantial filesystem, driver, networking, and core-kernel fixes. The update includes an EROFS change disabling LZ4 rolling decompression because of potential data corruption, along with fixes affecting XFS, the SMB client, netfs, AFS, btrfs, sound drivers, GPU drivers, and several architectures. ### Source excerpt Out today is the third weekly release candidate of Linux 7.3 as this next kernel version works its way toward a stable release in the second half of October... ## d-Matrix Joins the NVIDIA NVLink Fusion Platform DevFeed: [d-Matrix Joins the NVIDIA NVLink Fusion Platform]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-12T21:42:59Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [d-matrix](), [NVLink](), [Nvidia](), [xpu](), [AI Inference](), [datacenter](), [networking](), [cpu](), [Spectrum-X]() Tags: [accelerators](), [ai](), [ai-accelerator](), [ai-inference](), [d-matrix](), [data-center](), [ethernet](), [networking](), [nvidia](), [nvidia-vera](), [nvlink](), [server](), [xpu]() ### AI overview d-Matrix and NVIDIA announced that d-Matrix will bring its next-generation XPUs to the NVLink Fusion platform. The integration is intended to support scaling from individual Raptor XPUs to larger rack-scale and clustered deployments for AI inference, alongside NVIDIA networking and CPU technologies. ### Source excerpt d-Matrix and NVIDIA announced that d-Matrix will use NVLink Fusion to scale up and out with its next-gen Raptor AI accelerators The post d-Matrix Joins the NVIDIA NVLink Fusion Platform appeared first on ServeTheHome. ## Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack DevFeed: [Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-12T18:24:22Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [AWS Outposts](), [Amazon Web Services](), [cloud-infrastructure](), [Network](), [Latency](), [data-processing](), [Security]() Tags: [5g](), [automation](), [aws](), [aws-outposts](), [cloud](), [compute](), [connectx](), [data-processing](), [enterprise](), [governance](), [latency](), [low-latency](), [networking](), [security]() ### AI overview AWS has generally released a second-generation single-rack AWS Outposts configuration: a self-contained 42U rack combining compute, storage, and networking with up to 2,688 vCPUs and 100 TB of Amazon EBS. The article describes its on-premises cloud compatibility, compact footprint, supported instance families, and accelerated networking options for trading floors and 5G cores. ### Source excerpt AWS has made second-generation single-rack AWS Outposts generally available, a self-contained 42U rack that puts compute, storage, and networking together with up to 2,688 vCPUs and 100 TB of Amazon EBS. It runs the same APIs, console, automation, governance policies, and security controls as the multi-rack second-generation Outposts and the parent AWS Region, so an The post Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack appeared first on StorageReview.com. ## Presentation: How To Run on Three Clouds at Once, and When Not To DevFeed: [Presentation: How To Run on Three Clouds at Once, and When Not To]() Original publisher: [Read original article]() Author: Ross McFarlane, Kevin Holditch Published: 2026-09-11T11:00:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [networking](), [Databases](), [Kubernetes]() Tags: [amazon](), [architecture](), [architecture-design](), [availability](), [aws](), [cloud](), [cloud-architecture](), [cloud-computing](), [cloud-networking](), [cockroach-labs](), [cockroachdb](), [containers](), [databases](), [devops](), [disaster-recovery](), [engineering](), [europe](), [financial-applications](), [fintech](), [form3-multicloud-architecture](), [infoq](), [kubernetes](), [microservices](), [networking](), [presentation](), [qcon-london-2026](), [qcon-software-development-conference](), [resilience](), [transcripts](), [us]() ### AI overview A presentation on Form3's move from one cloud to a triple-active multi-cloud architecture, covering cross-cloud networking, distributed databases, Kubernetes operators, and regional disaster-recovery expectations. ### Source excerpt Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets. By Ross McFarlane, Kevin Holditch ## Advancing Embedded Go: Recoverable Panics, UEFI, Radio and Hardware Dev Kit DevFeed: [Advancing Embedded Go: Recoverable Panics, UEFI, Radio and Hardware Dev Kit]() Original publisher: [Read original article]() Author: Olimpiu Pop Published: 2026-09-11T05:05:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Go Language](), [Embedded Software Dev](), [networking]() Tags: [development](), [embedded](), [embedded-software-dev](), [errors](), [go](), [hardware](), [llvm](), [networking](), [news](), [release](), [tiny-go](), [tinygo-devkit](), [wasm](), [webassembly]() ### AI overview TinyGo 0.42 adds recoverable runtime panics, Go 1.27 and LLVM 22 support, and a UEFI target. The article also covers prior wireless and board support, WebAssembly and WASI compilation, and the TinyGo Starter Kit with Seeed Studio XIAO. ### Source excerpt TinyGo version 0.42 introduces significant updates, including recoverable panics and support for Go 1.27 and LLVM 22, improving error handling and enabling Go code to run as UEFI applications. The TinyGo Starter Kit with Seeed Studio XIAO facilitates hardware use for developers, featuring an ESP32-C3 board and modular sensors. These features enhance its functionality for embedded systems and Wasm. By Olimpiu Pop ## HTTP/3 Support in HTTP Client API in Java 26 DevFeed: [HTTP/3 Support in HTTP Client API in Java 26]() Original publisher: [Read original article]() Author: Rajat Garg Published: 2026-09-10T18:50:56Z Content type: tutorial Language: en Sources: [Baeldung]() Topics: [Java HttpClient](), [client](), [Networks](), [Latency]() Tags: [api](), [http](), [java](), [java-httpclient](), [latency](), [networking](), [networking-java-httpclient](), [networks](), [popular](), [tls](), [tutorial]() ### AI overview A tutorial on using Java 26's HttpClient API with HTTP/3, including protocol preference and server-support discovery. ### Source excerpt Learn how HttpClient API supports HTTP/3 now, and how to set your apps to use HTTP/3. The post HTTP/3 Support in HTTP Client API in Java 26 first appeared on Baeldung. ## A Guide to Application Networking Basics DevFeed: [A Guide to Application Networking Basics]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-10T15:31:28Z Content type: tutorial Language: en Sources: [ByteByteGo]() Topics: [networking]() Tags: [article](), [guide](), [networking]() ### AI overview The article introduces application networking basics and states that it will examine various aspects of networking in detail. The supplied text does not provide further technical findings. ### Source excerpt In this article, we will look at the various aspects of networking in detail. ## Thanks for participating in APNIC 62 DevFeed: [Thanks for participating in APNIC 62]() Original publisher: [Read original article]() Author: Timothy Hildred Published: 2026-09-10T13:16:58Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [networking](), [NIXI]() Tags: [apnic-62](), [blog](), [community](), [conference](), [conferences](), [event](), [events](), [india](), [industry](), [internet](), [keynote](), [learn](), [linkedin](), [networking](), [nixi](), [september-2026](), [speakers](), [survey](), [transcripts](), [updates](), [videos](), [youtube]() ### AI overview APNIC 62 brought together 583 in-person and remote attendees from 54 economies in Mumbai from 4 to 10 September 2026. The article thanks participants, speakers, sponsors, and organizers, and points readers to the conference report, recordings, presentations, transcripts, and survey. ### Source excerpt Thank you to everyone who participated in person and remotely at APNIC 62, hosted by the National Internet Exchange of India (NIXI) and co-hosted by ISPAI, from 4 to 10 September 2026 in Mumbai, India. ## d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment DevFeed: [d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment]() Original publisher: [Read original article]() Author: Jesse Clayton Published: 2026-09-10T13:00:21Z Content type: news Language: en Sources: [NVIDIA Blog]() Topics: [NVLink](), [AI Platform](), [AI Inference](), [Deployment](), [networking](), [Latency](), [cpu](), [GPU]() Tags: [ai-inference](), [ai-infrastructure](), [ai-platform](), [corporate](), [d-matrix](), [deployment](), [gpu](), [latency](), [networking](), [nvidia](), [nvidia-vera](), [nvidia-vera-rubin](), [nvlink](), [spectrum-x](), [xpu]() ### AI overview d-Matrix announced plans to use NVIDIA NVLink Fusion to connect its next-generation Raptor XPUs with NVIDIA AI infrastructure. The article describes using NVLink, Spectrum-X networking and MGX rack designs to support rack-scale, low-latency inference deployments. ### Source excerpt AI inference chipmaker d-Matrix today announced it will use NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA's AI infrastructure platform -- joining a growing roster of ecosystem partners. By connecting Raptor to NVIDIA NVLink scale-up and Spectrum-X scale-out networking, the NVIDIA MGX rack architecture and the broader NVIDIA AI platform, NVLink Fusion gives [...] [Next page]()