…The AODT platform accelerates the development of autonomous, self-optimizing networks by enabling continuous integration, rapid prototyping, and closed-loop training-to-deployment cycles for AI-driven telecom systems. AI-generated content…
…Co-engineered with AMD, Wind River Cloud Platform enables unified O-RAN and AI-RAN deployments optimized for AMD to scale distributed networks with greater efficiency. HPC & Simulation Software Validated on AMD…
…Sai Niranjan Ramachandran , Abstract Decision trees and diffusion models are mathematically unified through a shared optimization principle called Global Trajectory Score Matching, enabling efficient generative models and neural network distillation methods. AI…
…Experience in data-flow optimization using profiling tools. Interaction with AI compilers / graph optimizers. Familiarity with fixed-point / quantized inference is a strong plus. Familiarity with neural network open-source frameworks such…
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…
…since the protocol is optimized for datacenter silicon and most of the rush has concerned rented cloud cards. With the reward set only to fall and the network's hashrate still climbing…
Enterprise network s are entering a new phase in how AI is applied, moving beyond analytics dashboards and retrospective insights toward systems that recommend actions, optimize behavior, and operate closer to real…
…To make the agentic experience more fluid, Microsoft has added a setting to remove network domain blocking so that you get sandbox protection, minus constant interruptions for network access. Finally, this update…
…POD. Powered by the NVIDIA BlueField-4 processor, NVIDIA CMX establishes an optimized context memory tier that augments existing networked storage tiers by holding latency‑sensitive, reusable inference context and prestaging it…
…NVIDIA Spectrum-X Ethernet is suited for this environment, helping provide the network foundation needed to run large-scale AI models and applications with confidence. Proven first in production with performance optimized…
