…Lisa Su, chair and CEO, AMD. "As AI and agentic workloads scale rapidly, customers need platforms that can move from innovation to production faster. Our deep partnership with TSMC is helping AMD…
…Running AI in the cloud is an option, but the cloud can introduce privacy concerns and unpredictable costs. Upgrading on-prem infrastructure is another option, but supporting large GPU-accelerator platforms can…
…AI developer platform engineered by AMD, that is designed to give AI developers a local environment to build, test and run agent-based and generative AI applications without depending on the cloud…
…Encrypted communication paths , helping protect data as it moves between components. Remote attestation , enabling software to verify the security state of the platform before releasing sensitive data. Support for accelerated AI inference…
Hey everyone, I’m currently a Cloud/DevOps engineer. With AI rapidly automating things like boilerplate YAML, standard CI/CD pipelines, and basic log analysis, I'm trying to be proactive about my next career move. For th…
I am not the most experienced DevOps person on earth so keep that in mind. I have tried studying DevOps before and after the AI revolution and now, it simply feels like all I do is tell the AI what to do and then review.…
I'm scoping a hybrid AI pipeline for a consulting client in a regulated industry (GLBA-covered, NPI involved). Trying to validate the architecture before bringing on an engineer to build it.The workflow: ingest financial…
I work as a DevOps engineer at an AI startup, and we are running into a new problem. With tools like Cursor and Claude Code, more people across the company are building small internal apps on their own — not just develop…
I recently finished building my latest side project and wanted to share it with the world :)It's a CI/CD platform whose whole point is to be more developer friendly and familiar.- YAML is replaced by Python, so you don't…
…With Xeon serving as the control plane, Intel is taking a systems‑level approach to performance and efficiency at scale—delivering platforms designed for increasingly agentic AI workloads, where orchestration, data movement…
AWS has provided a first look at its next-generation Graviton5 processor, a custom server CPU developed by Annapurna Labs for deployment across the company's cloud computing platform and AI inference…
…Welcoming Wiz to Google Cloud: Redefining security for the AI era: Google has completed its acquisition of Wiz, a leading cloud and AI security platform. The Wiz team will join Google Cloud…
…Its customers also seek to address sovereignty concerns and the risks and complications of inflexible platforms through better workload placement and architecture aligned to business outcomes. Interactive's AI-ready private cloud…
…moved 1.3 Petabytes of data from multi-region to regional storage, achieving substantial cost savings while maintaining uninterrupted application performance and data pipeline continuity.” - Ron Cuirle, Director of Engineering - Cloud Platforms…
…As AI workloads increasingly move from the cloud to local infrastructure, users need systems that can not only store data, but also run AI services, process media, and support modern personal and…
