# cpu Published articles for cpu. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Libreboot to offer ROMs without CPU microcode updates DevFeed: [Libreboot to offer ROMs without CPU microcode updates]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: news Language: en Sources: [News about Libreboot releases and development]() Topics: [libreboot](), [cpu](), [coreboot](), [releases]() Tags: [bios](), [boot](), [canoeboot](), [coreboot](), [cpu](), [free-software](), [libre](), [libreboot](), [opensource](), [release](), [security](), [stable](), [uefi]() ### AI overview Libreboot announced that upcoming releases will again provide ROM images without CPU microcode updates, while continuing to provide microcode updates by default on x86 motherboards. ### Source excerpt Article: No-microcode ROMs available in next Libreboot release (new stable release soon!) Web link: https://libreboot.org/news/microcode.html ## Libreboot 20160818 release DevFeed: [Libreboot 20160818 release]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: release Language: en Sources: [News about Libreboot releases and development]() Topics: [libreboot](), [coreboot](), [boot](), [configuration](), [cpu](), [Linux](), [LVM]() Tags: [article](), [bios](), [boot](), [canoeboot](), [configuration](), [coreboot](), [cpu](), [free-software](), [grub](), [libre](), [libreboot](), [linux](), [lvm](), [opensource](), [release](), [uefi]() ### AI overview The Libreboot 20160818 release introduces hardware and usability improvements compared with Libreboot 20150518, including increased VRAM allocations, improved video performance and battery life on supported systems, better display handling, and improved GRUB configuration and automatic Linux configuration discovery. ### Source excerpt Article: Libreboot 20160818 release Web link: https://libreboot.org/news/libreboot20160818.html ## Libreboot 10-year anniversary and history DevFeed: [Libreboot 10-year anniversary and history]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [Open Source](), [Operating system](), [Hardware](), [UEFI](), [x86](), [Linux](), [boot](), [releases]() Tags: [anniversary](), [article](), [bios](), [canoeboot](), [coreboot](), [cpu](), [firmware](), [free-software](), [hardware](), [history](), [libre](), [libreboot](), [open-source](), [opensource](), [uefi](), [x86]() ### AI overview This article marks Libreboot's 10-year anniversary and recounts the project's history from the author's perspective. It describes Libreboot as free, open-source boot firmware based on coreboot for selected Intel, AMD, x86, and ARM systems, and discusses its goals and development context. ### Source excerpt Article: Libreboot 10-year anniversary and history Web link: https://libreboot.org/news/10.html ## How to Identify Which Raspberry Pi Model You Have DevFeed: [How to Identify Which Raspberry Pi Model You Have]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-09-17T02:25:39Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Raspberry Pi](), [Operating system](), [cpu](), [Wi-Fi]() Tags: [beginner-s-guides](), [cpu](), [how-to](), [install](), [raspberry-pi](), [specifications](), [system](), [wi-fi]() ### AI overview A practical guide to identifying which Raspberry Pi model you own. It covers physical markings, purchase records, system commands, model comparisons, and a flowchart, with examples including Raspberry Pi 1, Raspberry Pi 2, and Raspberry Pi Zero. ### Source excerpt You bought a Raspberry Pi a few months or years ago and have no idea what model you have. This is a problem because you'll need this information to order accessories or install a new operating system. No worries, I'll give you tips on how to find which one you have easily. Most Raspberry Pi... ## pgBackRest Compression: How Much CPU Is a Smaller Backup Worth? DevFeed: [pgBackRest Compression: How Much CPU Is a Smaller Backup Worth?]() Original publisher: [Read original article]() Author: Agustín Gallego Published: 2026-09-16T21:43:06Z Content type: comparison Language: en Sources: [Blog - Percona]() Topics: [Compression](), [Algorithms](), [PostgreSQL](), [postgresql 18](), [backups](), [Percona]() Tags: [algorithms](), [backup](), [compare](), [compression](), [cpu](), [percona](), [postgresql](), [postgresql-18](), [uncategorized]() ### AI overview This comparison measures pgBackRest compression algorithms and levels on Percona Distribution for PostgreSQL 18.4. It finds that low-level Zstandard offers a favorable balance between CPU use and backup size, with zst(3) near the efficiency curve's shoulder. ### Source excerpt In this blog post, we'll compare pgBackRest's compression algorithms and levels to find where spending more CPU stops buying a meaningfully smaller backup. The short version of the answer, which we'll build up to with real numbers, is that Zstandard at a low level is the sweet spot, and its default (zst(3)) already sits right ... Continued The post pgBackRest Compression: How Much CPU Is a Smaller Backup Worth? appeared first on Percona. ## Ubuntu 26.10 amd64v3 Performance Compared with Generic amd64 on Budget Hardware DevFeed: [Ubuntu 26.10 amd64v3 Performance Compared with Generic amd64 on Budget Hardware]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T17:37:00Z Content type: article Language: en Sources: [Phoronix]() Topics: [Ubuntu](), [canonical](), [Hardware](), [cpu](), [Intel Core](), [x86]() Tags: [avx](), [benchmarks](), [cpu](), [desktop-linux](), [hardware](), [intel](), [intel-core](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware](), [wildcat-lake](), [x86-64-v3]() ### AI overview This Phoronix review compares Ubuntu 26.10 amd64 and amd64v3 daily builds on the same entry-level CHUWI UniBook laptop with an Intel Core 3 304 processor and 8GB of RAM. It examines whether amd64v3 binaries improve performance on budget hardware, while noting that Canonical's official plans for Ubuntu 26.10 amd64v3 were not yet known. ### Source excerpt Canonical recently began producing Ubuntu 26.10 amd64v3 daily ISOs to complement their experimental amd64v3 package archive that they have been trialing the past few release cycles. While we still don't know what any official plans are for amd64v3 with Ubuntu 26.10, the performance gains can be very worthwhile over the generic amd64 binaries even for low-end/budget hardware. ## Linux Randomly Picking Idle CPU Cores Shows Modest Win On High Core Count Systems DevFeed: [Linux Randomly Picking Idle CPU Cores Shows Modest Win On High Core Count Systems]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T13:30:04Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Linux Kernel](), [cpu](), [benchmarking](), [systems]() Tags: [benchmarking](), [cpu](), [desktop-linux](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-kernel](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [patches](), [phoronix](), [phoronix-test-suite](), [scheduler](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview A Linux kernel patch series proposes randomizing the selection among equally shallow idle CPU cores to reduce scan-order bias and prevent concurrent tasks from converging on the same core. Testing on a 160-core Ampere Altra system showed throughput improvements of up to a few percent in Stress-NG benchmarking, while the benefits on smaller systems remain uncertain. ### Source excerpt Arm engineer Christian Loehle sent out a patch series today proposing that the Linux scheduler code randomize its picking of equally shallow idle CPU cores. This randomization is showing to deliver a win at least for high CPU core counts for better distributing workloads... ## AMD Sends Out Linux Patches For Enabling SEV-TIO TDISP With PCIe 6.0 DevFeed: [AMD Sends Out Linux Patches For Enabling SEV-TIO TDISP With PCIe 6.0]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T13:02:52Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux Kernel](), [pcie](), [trusted-execution-environment](), [Confidential Computing](), [virtualization](), [Security](), [Encryption](), [MERN]() Tags: [amd](), [arm](), [attestation](), [confidential-computing](), [cpu](), [desktop-linux](), [encryption](), [intel](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-kernel](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [pcie](), [phoronix](), [phoronix-test-suite](), [processors](), [risc-v](), [security](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview AMD submitted 17 Linux kernel patches to enable SEV-TIO TDISP for PCIe 6.0 and newer. The work is intended to secure direct I/O device assignment for confidential-computing environments, including AMD Secure Encrypted Virtualization guest VMs, and includes a common TEE Security Manager developed with Intel, Arm, and RISC-V. ### Source excerpt The newest Linux kernel patches out of AMD for enhancing the upstream support with the new AMD EPYC 9006 "Venice" processors is for enabling SEV-TIO TDISP that is supported with PCI Express 6.0 and beyond... ## Linux 7.4 slated to merge AVX-512 optimization for xor\_gen() DevFeed: [Linux 7.4 slated to merge AVX-512 optimization for xor\_gen()]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T00:53:15Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Kernel](), [patches](), [Code](), [cpu](), [intel](), [Google]() Tags: [amd](), [cpu](), [desktop-linux](), [google](), [intel](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-kernel](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [patches](), [phoronix](), [phoronix-test-suite](), [server-cpus](), [ubuntu-benchmarks](), [ubuntu-hardware](), [xor]() ### AI overview Linux 7.4 is slated to merge an AVX-512 optimization for xor_gen(), a function used by Linux software RAID to generate and validate parity blocks for RAID5 and RAID6. The patches report performance gains on AMD Zen 4 and newer CPUs and current Intel server CPUs with AVX-512, subject to final merge-window changes. ### Source excerpt Over the past few months there have been patches floating around for an AVX-512 optimized xor_gen() for the Linux kernel for that functuon used by the Linux software RAID code. It's been shhowing very nice performance gains with this function being used for generating and validating parity blocks such as for RAID5 and RAID6. The upcoming Linux 7.4 cycle is slated to merge this nice enhancement for benefiting AMD Zen 4 and newer or current Intel server CPUs with AVX-512... ## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-16T00:00:55Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Artificial Intelligence](), [Embedded Systems](), [AI Inference](), [V](), [Arm](), [cpu](), [Open Source](), [Ethernet](), [Linux](), [Toit]() Tags: [ai](), [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cpu](), [debug](), [edge-ai](), [embedded](), [ethernet](), [hardware](), [inference](), [kickstarter](), [linux](), [module](), [open-source](), [real-time](), [risc-v](), [robotics](), [rt-thread](), [soc](), [sophgo](), [tinyml](), [usb](), [video](), [vision]() ### AI overview The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread. ### Source excerpt The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## HP ZBook Ultra G3a 16 Preview: 192GB of Unified Memory Aims for the Top of the Local AI Laptop Leaderboard DevFeed: [HP ZBook Ultra G3a 16 Preview: 192GB of Unified Memory Aims for the Top of the Local AI Laptop Leaderboard]() Original publisher: [Read original article]() Author: Brian Beeler Published: 2026-09-15T23:15:57Z Content type: article Language: en Sources: [StorageReview.com]() Topics: [Local AI](), [Hardware](), [GPU](), [cpu](), [Large Language Model]() Tags: [consumer](), [cpu](), [deepseek](), [dgx-spark](), [gemma](), [gpu](), [hardware](), [local-ai](), [models](), [ollama](), [windows](), [workstation]() ### AI overview StorageReview previews HP's pre-production ZBook Ultra G3a 16, a local AI laptop with 192GB of unified memory and up to 160GB assignable to its integrated GPU. The article examines its hardware and planned testing while noting that shipping-hardware benchmarks are not yet available. ### Source excerpt HP's ZBook Ultra G1a 14 holds the Best for Large Models spot on our Best Laptops for Local AI leaderboard because its 128GB of unified memory, 96GB of it assignable to the GPU, loaded models no discrete-GPU laptop could touch. The new HP ZBook Ultra G3a 16 raises that pool to 192GB with up to The post HP ZBook Ultra G3a 16 Preview: 192GB of Unified Memory Aims for the Top of the Local AI Laptop Leaderboard appeared first on StorageReview.com. ## AMD P-State Driver For Linux 7.4 Will Tune For Zen 6 Client CPUs DevFeed: [AMD P-State Driver For Linux 7.4 Will Tune For Zen 6 Client CPUs]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T19:03:22Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Kernel](), [cpu]() Tags: [amd](), [cpu](), [desktop-linux](), [driver](), [features](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview The Linux 7.4 AMD P-State driver is being updated with Energy Performance Preference tuning for Zen 6 client CPUs. The changes address different Zen 6 core types, including a new low-power core type, and calculate boost ratios from frequency values. ### Source excerpt Linux 7.4 looks like it will be a very exciting kernel update for AMD customers. On the AMD Radeon graphics side HDMI 2.1 is being enabled by default with the AMDGPU driver with the HDMI FreeSync, VRR, and ALLM features in tow. On the AMD Ryzen client CPU side, there will be Zen 6 tuning with the AMD P-State CPU frequency scaling driver... ## Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta DevFeed: [Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta]() Original publisher: [Read original article]() Author: Kevin Torres Martinez Published: 2026-09-15T18:30:00Z Content type: release Language: en Sources: [Kubernetes Blog]() Topics: [Kubernetes](), [cpu](), [Hardware](), [Latency](), [API](), [gRPC](), [Monitoring]() Tags: [api](), [cpu](), [hardware](), [kubernetes](), [latency](), [monitoring](), [numa](), [release](), [v1]() ### AI overview Kubernetes v1.37 graduates Pod-Level Resource Managers to Beta, disabled by default. The feature lets Kubelet resource managers use pod-level declarations for hardware placement, enabling NUMA-aligned exclusive resources for primary containers while placing sidecars in a shared pod-isolated pool. The release also adds pod-level reporting to the PodResources gRPC API. ### Source excerpt With the release of Kubernetes v1.37, the Pod-Level Resource Managers feature has graduated to Beta status (disabled by default)! First introduced as an Alpha feature in Kubernetes v1.36, this enhancement builds on Pod-Level Resources by equipping Kubelet's Topology Manager, CPU Manager, and Memory Manager to use Pod-level resource declarations (.spec.resources) directly when making hardware placement decisions. Bringing pod-level resources to node managers Before this feature, obtaining exclusive NUMA-aligned CPU cores or memory for latency-critical applications forced cluster operators into an all-or-nothing choice: assign integer resource requests to every container in the Pod, or forfeit exclusive NUMA alignment entirely. For modern workloads running lightweight sidecars (such as logging agents or telemetry exporters), allocating dedicated physical cores to auxiliary containers was wasteful. Pod-Level Resource Managers solves this challenge by enabling hybrid allocation models. The Kubelet can reserve exclusive NUMA-aligned resources for primary application containers while placing non-Guaranteed sidecars into a pod-isolated shared pool. This ensures primary workloads get unthrottled, NUMA-local performance while sidecars benefit from running in a pod-isolated shared pool, enjoying local NUMA alignment and protection from external node interference without consuming dedicated physical cores. What's new in Beta Graduating to Beta brings key operational and API enhancements: Graduation to Beta: Controlled by the PodLevelResourceManagers feature gate, available to opt in (disabled by default) in Kubernetes v1.37. PodResources API Reporting: The v1 PodResources gRPC service (PodResourcesLister) introduces top-level cpu_ids and memory fields on PodResources responses. Monitoring tools and device plugins can query pod-level exclusive assignments directly without double-counting container allocations. Getting started and providing feedback For a deep dive into the tech ## Optimizing CPU-side Rendering Code DevFeed: [Optimizing CPU-side Rendering Code]() Original publisher: [Read original article]() Author: Clay John Published: 2026-09-15T17:00:00Z Content type: tutorial Language: en Sources: [Godot Engine Official]() Topics: [Godot](), [Optimization](), [cpu](), [GPU](), [shaders]() Tags: [batching](), [bug](), [cpu](), [gpu](), [optimization](), [performance](), [performance-optimization](), [progress-report](), [shaders]() ### AI overview This article explains how Godot optimizes CPU-side rendering code. It describes balancing CPU and GPU workloads, identifying performance bottlenecks, investigating solutions, measuring results, and repeating the process. ### Source excerpt Optimizing CPU code is a lot of fun. Here's how we do it ## Linux Patch Coming To Fix Under-Reported AMD Zen 5 TLB Sizes DevFeed: [Linux Patch Coming To Fix Under-Reported AMD Zen 5 TLB Sizes]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T10:05:51Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [cpu](), [x86](), [Kernel]() Tags: [amd](), [cpu](), [desktop-linux](), [issue](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-kernel](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [processors](), [reporting](), [ubuntu-benchmarks](), [ubuntu-hardware](), [x86]() ### AI overview A Linux kernel patch corrects under-reported Translation Lookaside Buffer sizes for AMD Zen 5 EPYC and Ryzen processors. The change also supports Zen 6 and future AMD CPUs using the same reporting bit. ### Source excerpt A minor reporting issue on Linux that has gone unaddressed until now is for properly conveying the Translation Lookaside Buffer (TLB) sizes on AMD Zen 5 processors... ## OpenAPV 1.1.1 Released with API Set 1, PBU Decoding, and SIMD Optimizations DevFeed: [OpenAPV 1.1.1 Released with API Set 1, PBU Decoding, and SIMD Optimizations]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T09:56:41Z Content type: release Language: en Sources: [Phoronix]() Topics: [Open Source](), [API](), [Claude]() Tags: [api](), [arm](), [cpu](), [desktop-linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview OpenAPV 1.1.1 introduces API set 1 while retaining support for API set 0. The release adds PBU-based decoding, smaller-tile profiles, custom memory allocator support, AVX2 and ARM NEON optimizations, and SIMD code cleanup. ### Source excerpt OpenAPV as the open-source reference implementation of the Advanced Professional Video (APV) codec today saw its v1.1.1 release, succeeding v0.3.0 as the prior release... ## QEMU Google Summer of Code 2026 project report DevFeed: [QEMU Google Summer of Code 2026 project report]() Original publisher: [Read original article]() Published: 2026-09-15T07:00:00Z Content type: article Language: en Sources: [QEMU]() Topics: [qemu](), [AdventureX 2025](), [Open Source](), [virtual machines](), [x86](), [observability](), [Rust]() Tags: [cpu](), [development](), [google-summer-of-code](), [gsoc](), [internships](), [observability](), [open-source](), [qemu](), [rust]() ### AI overview QEMU's Google Summer of Code 2026 report covers four contributors' open-source projects from May through August, including lazy snapshot loading, x86 Process Context Identifier support in COCONUT-SVSM, and observability support for confidential virtual machines. ### Source excerpt QEMU participated in Google Summer of Code 2026 with 4 contributors working on open source internships from May through August. The contributors gained experience in open source software development working on 12-week projects. ## Dell Pro 5 16 (AMD) Laptop Review DevFeed: [Dell Pro 5 16 (AMD) Laptop Review]() Original publisher: [Read original article]() Author: Ryan Smith Published: 2026-09-14T16:25:36Z Content type: article Language: en Sources: [ServeTheHome]() Topics: [dell](), [Hardware](), [cpu](), [intel]() Tags: [amd](), [cpu](), [dell](), [external](), [hardware](), [intel](), [intel-core](), [laptop](), [laptops](), [mobile](), [modular](), [overview](), [performance](), [platform](), [portable](), [product](), [review](), [ryzen-ai](), [series](), [strix-point](), [thunderbolt]() ### AI overview A review of Dell's 16-inch Pro 5 business laptop powered by an AMD Ryzen AI 400 series processor. The article highlights its performance, modularity, business positioning, and comparability with Intel-based Dell models. ### Source excerpt Today we are taking a look at Dell's 16-inch laptop for mainstream business segment, the AMD-based Dell Pro 5 16. The pro laptop hits all the high notes, pairing an AMD Ryzen AI 9 HX PRO 470 processor with great modularity and a good balance between size, weight, and performance The post Dell Pro 5 16 (AMD) Laptop Review appeared first on ServeTheHome. ## Firefox 156 Available With Its Built-In PDF Viewer Starting Up To 45% Faster DevFeed: [Firefox 156 Available With Its Built-In PDF Viewer Starting Up To 45% Faster]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-14T15:09:09Z Content type: news Language: en Sources: [Phoronix]() Topics: [Firefox](), [pdf](), [Mozilla](), [Linux](), [Nvidia]() Tags: [cpu](), [desktop-linux](), [firefox](), [history](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [memory](), [mozilla](), [nvidia](), [open-source-graphics](), [pdf](), [performance](), [phoronix](), [phoronix-test-suite](), [release](), [ubuntu-benchmarks](), [ubuntu-hardware](), [update](), [vulkan]() ### AI overview Firefox 156 is available with a built-in PDF viewer that starts up up to 45% faster. The release also improves memory and CPU usage when displaying large scaled-down JPEG images and includes several fixes. Vulkan Video decoding for newer NVIDIA GPUs remains limited to nightly builds. ### Source excerpt Mozilla today published their Firefox 156.0 release binaries ahead of the official Tuesday announcement... ## Python 3.14 free-threaded build is now available in RHEL DevFeed: [Python 3.14 free-threaded build is now available in RHEL]() Original publisher: [Read original article]() Author: Lumír Balhar Published: 2026-09-14T13:01:41Z Content type: release Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Python 3.14](), [Python](), [Concurrency](), [Linux](), [Concurrent Programming](), [cpu]() Tags: [cpu](), [developer-tools](), [developers](), [linux](), [performance](), [programming-languages-frameworks](), [python](), [python-3-14](), [red-hat](), [release](), [rhel](), [thread](), [upstream-release]() ### AI overview Red Hat Enterprise Linux 9.8 and 10.2 now provide a free-threaded Python 3.14 build through the Red Hat CodeReady Linux Builder repositories. With the GIL disabled, CPU-bound Python threads can execute in parallel across multiple CPU cores within a single process. The article explains expected performance benefits, installation, verification, and possible thread-safety issues in existing code. ### Source excerpt Developers on Red Hat Enterprise Linux 9.8 and 10.2 can now test full parallel CPU execution in Python using the new free-threaded Python 3.14 build. In addition to the regular Python 3.14 interpreter, we also provide the free-threaded variant in the Red Hat CodeReady Linux Builder repositories. Python 3.14 is the first upstream release where the free-threaded build is officially supported rather than experimental. The post Python 3.14 free-threaded build is now available in RHEL appeared first on Red Hat Developer. ## Cloudflare Tests Cache Transcoding to Reduce Storage Requirements DevFeed: [Cloudflare Tests Cache Transcoding to Reduce Storage Requirements]() Original publisher: [Read original article]() Author: Renato Losio Published: 2026-09-13T10:35:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Caching](), [Transcodings](), [cloud-infrastructure](), [Pingora]() Tags: [architecture-design](), [cache](), [caching](), [cdn](), [cloud](), [cloudflare](), [cloudflare-cache-transcoding](), [compression](), [cpu](), [data-centers](), [development](), [edge-computing](), [news](), [pingora](), [rust](), [storage]() ### AI overview Cloudflare is testing Cache Transcoding, a prototype that Zstandard-compresses eligible uncompressed text before it is stored in cache. The approach aims to increase effective cache capacity and reduce inter-data-center transfer, with configurable CPU and storage trade-offs. ### Source excerpt Cloudflare recently described a prototype called Cache Transcoding that compresses eligible cache content, mainly uncompressed text such as HTML, JSON, CSS, and JavaScript, using Zstandard before storing it on disk. The hyperscaler estimates that the approach could provide petabytes of additional effective cache capacity, although broader testing is still needed. By Renato Losio ## Linux server performance: Is disk I/O slowing your application? DevFeed: [Linux server performance: Is disk I/O slowing your application?]() Original publisher: [Read original article]() Author: Hayden James Published: 2026-09-12T16:11:54Z Content type: tutorial Language: en Sources: [Hayden James]() Topics: [Linux](), [IO](), [Server](), [Command-line interface](), [Processes](), [NVMe]() Tags: [blog](), [command-line](), [cpu](), [linux](), [load](), [mysql](), [nvme](), [performance](), [processes](), [request](), [server](), [ssd](), [storage](), [sysadmins](), [terminal]() ### AI overview This tutorial explains how disk I/O bottlenecks can cause high Linux load averages even when CPU usage is low. It shows how to use top, atop, and iotop on a LEMP web server, including per-core I/O wait measurements, to identify storage-related application slowdowns. ### Source excerpt If your Linux server is bogged down by disk I/O, your first step may often be to use the top command in the terminal to check load averages. Continue reading... ## Mastering Edge AI on Raspberry Pi with LiteRT and Gemma DevFeed: [Mastering Edge AI on Raspberry Pi with LiteRT and Gemma]() Original publisher: [Read original article]() Author: Lu Wang; Terry Heo; Naushir Patuck; José María Casanova Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [LiteRT](), [On-device AI](), [Local AI](), [AI, ML & Data Engineering](), [Google AI](), [cpu](), [Security, Privacy and Abuse Prevention]() Tags: [cli](), [cpu](), [edge](), [gemma](), [gpu](), [inference](), [litert](), [offline](), [on-device](), [real-time](), [robotics]() ### AI overview The article explains how to deploy Gemma models with LiteRT on a Raspberry Pi for local, real-time edge AI applications such as robotics. It highlights LiteRT-LM, CPU and GPU optimization, and reported performance figures for Gemma 4 E2B on Raspberry Pi 5. ### Source excerpt Deploying secure, real-time Edge AI on Raspberry Pi is now simplified using LiteRT and lightweight Gemma open models. LiteRT optimizes CPU and GPU performance, delivering fast token speeds for models like Gemma4, enabling real-time local reasoning for robotics. Developers can quickly convert, quantize, and run these models using the lightweight LiteRT CLI tool. Support for Hailo AI accelerators is also coming very soon. ## Scaling real-time AI agents with session-aware load balancing DevFeed: [Scaling real-time AI agents with session-aware load balancing]() Original publisher: [Read original article]() Author: Simerus Mahesh Published: 2026-09-12T11:04:33.891311Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [real-time](), [Artificial Intelligence](), [Streaming](), [Server](), [gRPC](), [WebSocket](), [cpu](), [Concurrent Programming]() Tags: [ai-agents](), [concurrent](), [cpu](), [real-time](), [routing](), [server](), [streaming]() ### AI overview This article explains why real-time AI agents require session-aware load balancing. Long-lived, stateful bidirectional streams make request rates and CPU utilization insufficient measures of backend capacity. The proposed approach tracks active sessions at the application level and combines session counts with CPU metrics to distribute traffic and avoid bottlenecks. ### Source excerpt Real-time AI agents break traditional request-response load balancing paradigms because they rely on long-lived, stateful bidirectional streams that obscure true server capacity. To solve this, developers must implement application-level session tracking directly within the runtime to accurately measure the committed concurrent workload of active conversations. By feeding these precise session counts alongside standard CPU utilization metrics into a hybrid routing algorithm, infrastructure can effectively distribute stateful AI traffic and prevent individual backend bottlenecks. [Next page]()