Here's why most AI initiatives crash at pilot stage
…apply AI to real business use cases, involving both scale and complexity. "It offers the right platform at a time when the gains from applying AI are starting to move on from…
…apply AI to real business use cases, involving both scale and complexity. "It offers the right platform at a time when the gains from applying AI are starting to move on from…
…Per Qualcomm, Solara is “a new chip-to-cloud platform where silicon, software and cloud come together to power AI experiences that are more personal, more aware and always with you.” Microsoft…
…In 2024, Etsy introduced a new “Designed” label to identify AI content, part of an effort to increase transparency as AI-generated artwork becomes more prevalent on the platform. The news of…
…a way to add GPU acceleration without moving directly to dedicated accelerator platforms. The MI350P PCIe is positioned for enterprises that want to deploy AI on premises while keeping infrastructure changes limited…
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.…
NVIDIA RTX Spark reinvents Windows PCs for the era of personal AI agents, offering a new class of computer that moves from tool to teammate. Designed for AI, creating and gaming, RTX Spark brings together 30 years of NVI…
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'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…
Software Microsoft developer chief Julia Liuson is logging off Departure may accelerate further AI-centric moves for programming tools Julia Liuson, president of Microsoft's developer division (DevDiv), will resign at the…
…As AI infrastructure grows in scale and architectural complexity, system designers are increasingly challenged to move massive volumes of data efficiently across CPUs, GPUs, accelerators, and NVMe storage. The Rambus PCIe 7…
…Mistral Compute will operate the infrastructure as part of its AI cloud platform, while VAST provides the data layer that manages data access, movement, governance, and performance across the environment. Data Platform…
…This architecture allows streaming and batch workloads to coexist within the same analytical platform, simplifying infrastructure and reducing data movement. In-database AI, ML, and vector processing A defining feature of EDB…
…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…
The future of enterprise transformation won’t be decided by the next shiny platform. It will be defined by how well organizations connect their ecosystem of technologies and partners. AI, cloud and…