cPacket's cStor200S Proves 100GbE CTD Performance

🚀 High-Speed Packet Capture-to-Disk (CTD) at 100GbE – Proven Performance High-speed CTD and observability are essential in today’s most demanding environments, from financial services (high-frequency trading) to healthcare and government. cPacket delivers on this requirement with its cStor200S Packet Capture & Analytics Observability Node. 📊 The Tolly Group independently validated the solution’s CTD performance at 100GbE, testing: Single and dual 100GbE interfaces With analytics enabled and disabled Real-time search & download of specific captured traffic while capture was in progress ✅ The cStor200S (220TB) executed all tasks without packet loss, confirming its ability to keep up with the most demanding workloads. 👉 Learn more in the full report: https://lnkd.in/emSG5c-m #Observability #Networking #PacketCapture #PerformanceTesting #100GbE

We've just published comprehensive benchmarks showing how xiRAID Opus + vhost-user protocol delivers near-native NVMe performance in Kata containers — solving a critical bottleneck for edge computing and secure multi-tenant environments. Key Results: ✅ 5x better sequential read performance vs standard virtio-blk (14.8 GB/s vs 2.9 GB/s) ✅ 6.5x better random read performance (948k IOPS vs 146k IOPS) ✅ 98% of raw drive performance maintained with RAID6 protection ✅ Linear scaling across multiple containerized workloads The Solution: xiRAID Opus storage engine + Kata containers + vhost-user protocol + Phison Electronics USA X200 NVMe drives For organizations requiring both security isolation AND storage performance in containerized environments, this validates a production-ready path forward. Read the full technical deep-dive with detailed benchmarks: https://lnkd.in/e7Sb7tzN #EdgeComputing #ContainerSecurity #HighPerformanceStorage #Kubernetes #NVMe

Kata Containers offer strong workload isolation and security, perfect for multi tenant cloud, edge type environments etc... but isolation often comes at the cost of storage performance. That’s where xiRAID Opus + vhost-user comes in: >Near native NVMe speed inside Kata containers. >Flexible RAID protection. >Predictable performance for data intensive workloads. If you’re running Kata containers and need high performance storage, talk to us. #katacontainers #xinnor #xiRAIDOpus

Dear connections here I explain android based storage IC critical partitions backup step by step procedure First, we need to connect IC - EMMC or UFS, we need any JTAG software boxes for this like easyjtag, MIPI, UFI, F64, Medusa pro .. here I am using Easyjtag plus for the illustration After connecting the IC, just load firmware, then the firmware gpt will be filled, then we need to manually unselect the filled partitions and select the unfilled partitions, this partitions will be the critical partitions of the particular IC ✍️ Anees Kokadan aneeskokadan.com

SCTE-35 message handling is built into our TS Signal Processing platform. Trigger Splice Insert and Time Signal messages across one or more PIDs, with full control via REST API. Ideal for managing ad breaks and other downstream events. Learn more: https://bit.ly/3t9W6GY #SCTE35 #AdBreakTriggering #SpliceInsert #TimeSignal #TransportStreamControl #BroadcastSignalling

New release v8.3.184 | System & Console Logging upgrades 🚀 YOLO11 workflows now get real-time system metrics and early, deduplicated console capture for more reliable, searchable training logs and smoother integrations. Minor updates: ✅ New `SystemLogger` for CPU/GPU/RAM/disk/network telemetry via callbacks ✅ New `ConsoleLogger` with early stdout/stderr capture and API/file streaming ✅ Float-only metrics in checkpoints for compatibility with Ultralytics HUB, W&B, TensorBoard Ultralytics v8.3.184 release notes ➡️ https://lnkd.in/du_3K9gf

The race towards zkEVM continues, both for speed and security (formal verification!) 🏇 At the last Ethproofs call, Vitalik gave a presentation about the choice of RISC-V as a better base instruction set for ZK and performance than EVM. The case of increasing security by really minimizing the attack surface with a simpler VM was made. In the same trend, a presentation from Diego Nehab was about exploring how to implement some of the EVM "syscalls" like contract calls in RISC-V to further reduce the attack surface. The CEO of Risc0 gave a long presentation about the choice of RISC-V for their instruction set. In short: x86 is far too complex, MIPS is very similar but RISC-V can be considered as the new MIPS, Wasm is too complex, it is good to have an instruction set used by hardware also to have more community buildup, there is a good formal specification of RISC-V. On the side of performance improvements, there were a nice presentation from OpenVM, with the ability to be realtime with a small number of GPUs. Scroll presented Ceno with a technology to optimize out the register manipulation in RISC-V, which can be very costly, on the fly at proving time. The verifier would still check that these optimizations are sound. We believe many optimizations can be made at this level. Indeed, zkVMs are an interesting case where the main execution (proving time) goes 10,000x slower than normal CPU execution. So this means the VM has 10,000x more compute power than the code to optimize it at runtime, much more than for traditional JIT environments, opening the door to many potential speedups as long as the verifier can quickly checker the soundness of the optimizations. A fuzzer, able to catch many circuits errors, was shown by Valentin Wüstholz, as well as a hardware accelerator by Milos. Last but not least, there was a presentation by Alexander Hicks about the formal verification project of the Foundation to secure the whole zkEVM layers, and present the new LLZK initiative to leverage the LLVM stack to write and optimize circuits! The link to the video of the call: https://lnkd.in/enQT76rs

Added all DINOv3 Transformer (except the 7B backbone one) and ConvNext based Faster RCNN models to Faster RCNN Training Pipeline. All the Transformer based Faster RCNN models use multi-level features from the backbone to build the Faster RCNN head and the ConvNext ones use features from the last layer. Surprisingly, multi-level feature selection for ConvNext Faster RCNN is giving an inferior result compared to the last layer-only feature selection. Maybe need to debug a bit more. Now, just need the compute to pretrain all the adapter heads. Link to the project in the comments.

Silex Technology and NXP Semiconductors are powering the future of embedded connectivity. This partnership means customers get the latest wireless innovation from NXP in a certified, production-ready Silex module—faster time to market, with no compromises. #WiFi6E #IoT #Connectivity #NXP #SilexTechnology #Partnership

In certain installations, Multiview isn’t just convenient. It’s mission critical. The newest feature of DM NVX technology helps the most important facilities monitor multiple feeds simultaneously. See how Multiview helps get the job done: https://ow.ly/6tgh30sPBt1