…Using graph optimization to reduce the overhead of operator and kernel calls. Different computation methods may exhibit significant performance differences at the inference engine and hardware level. Graph optimization is an optimization…
…Taboola's solutions, supported by a network of ten data centers and 12,000 servers, facilitate connections to over a billion customers worldwide each month. Solution Intel worked with Taboola to optimize…
…TP-Link says Wi-Fi 8 is being developed to improve real-world wireless behavior in dense home environments, where multiple client devices, mesh nodes, neighboring networks, and interference can affect stability…
…To sustain this growth, hyperscalers have to continue optimizing the entire technology stack. Faster chips remain crucial, but so are advances in cooling, power delivery, storage systems, optical interconnects, and networking. AWS…
Reliability has been fine, that is not the issue. The issue is that most of our traffic goes to Azure and M365 now, not the data center. We are paying for a private network optimized for data center traffic that barely e…
Hi everyone, I’m from Brazil and I’ve been working in the ISP industry since around 2009. My work today involves consulting and engineering for small and medium ISPs, including technologies and protocols such as: BGP OSP…
I'm designing my lab network infrastructure and would love your opinion on the design and hardware choices. It's a research/educational lab so budget is limited and not enterprise level. I have my own AS with IPv6-only P…
Hi everyone, I’m currently a Cloud & DevOps intern at a healthtech startup, and as I’m getting deeper into my daily tasks, I’m trying to figure out if my workload is representative of the industry at large or if I’m esse…
Hi everyone, I was always fascinated by the creativity in this sub so I decided to build my own tech playground. I am really looking for opinions on how to improve my setup or just grab some fresh ideas from you all. The…
…These technologies allow developers to optimize performance for industrial, automotive, communications, and edge computing applications. Adaptive SoCs & FPGA AMD Adaptive SoCs AMD Adaptive FPGAs System-on-Modules (SOMs) AMD Kria™ SOMs Networking…
…NVIDIA cuDNN GPU-accelerated library of deep neural network building blocks ("primitives") for deep learning. NVIDIA TensorRT™ and TensorRT LLM High-performance deep learning inference optimizer and runtime for production deployment. CUTLASS…
Tenstorrent has previewed its optimized AI model, which is powered by the Blackhole servers , offering blazing-fast video generation speeds. Video Generation In The Blink of an Eye, Tenstorrent Achieves Real-Time…
…the Linux networking subsystem continues being ever so busy with new wired and wireless networking hardware support as well as making more performance optimizations and features to benefit networked Linux environments. For…
…You can accelerate AI inference and generative AI (GenAI) workloads, achieve lower latency, and increase throughput while maintaining accuracy through optimization tools such as Neural Network Compression Framework (NNCF). OpenVINO toolkit also…
…It allows them to choose the cloud services that present the most value, helping them to optimize operations to achieve business goals. It also helps them optimize performance and cloud spending, mitigate…
