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Window: latest 15 collected items / 5 active sourcesAfter Seven CEOs in 10 Years, Imagination Is Sticking to Its Strategy
Imagination dumps CPU/NPU dreams, doubles down on GPUs and China under CEO No. 7. The post After Seven CEOs in 10 Years, Imagination Is Sticking to Its Strategy appeared first on EE Times .
Topology Inference for Immune System Networks by Using Cell Amount Data
Recent years have witnessed the advanced development of topology inference research, which helps elucidate the interaction relationships of components in many biological networks. This paper focuses on inferring the topology of a group of immune cells, based on the collected data from cell-depletion based experiments. The...
Do We Still Need Demand Flexibility as Batteries Become Cheaper? A Levelized Cost Perspective
Energy storage and flexible loads both help balance power systems with high shares of variable renewables, but they do so differently. A battery moves electricity from one period to another. A factory or data center instead moves production or computing activity, while meeting demand for its...
arXiv semiconductor API / Paper
Synthesizing Voltage Ride-Through Controllers for Data Centers
Data centers are among the power grid's fastest-growing loads. Since data center servers are sensitive electronic components, they need to be protected against the grid's voltage disturbances during grid faults. While disconnecting from the grid achieves this, it can further destabilize the power system if many...
arXiv semiconductor API / Paper
Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning
Compact AI systems make local language-model experimentation increasingly accessible, yet practical evidence for multi-node training on desktop-class accelerators remains limited. This report presents a proof-of-concept deployment of distributed NanoChat pretraining across two NVIDIA DGX Spark systems, each with a GB10 Grace Blackwell system-on-chip and 1...
arXiv semiconductor API / Paper
Toward a Causal Data Management Ecosystem for Decision Making and Agentic AI
Modern AI is no longer a single model but an ecosystem: classical ML predictors, deep and multimodal models, large language models, and agents, each trained and tuned over different data sources and each producing outputs at scale that become inputs to the others. Operating such an...
EE Times / News
AI Chip Startup Taalas Acquired by AMD
AMD plans to use Taalas chips alongside its GPUs for AI inference, likely as an LLM decode accelerator. The post AI Chip Startup Taalas Acquired by AMD appeared first on EE Times .
EE Times / News
GlobalFoundries’ Growth Makes the Case for a U.S. Photonics Buildout
GlobalFoundries’ data center surge turns U.S. photonics from subsidy pitch to AI bottleneck bet. The post GlobalFoundries’ Growth Makes the Case for a U.S. Photonics Buildout appeared first on EE Times .
NVIDIA Developer Blog / Company
Beyond VLAs: How World Action Models Reshape Robot Manipulation
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...
NVIDIA Newsroom / Company
AI Leaders Propose SAFE Guidelines for Cybersecurity Transparency
Members of the Open Secure AI Alliance — now more than 120 organizations strong — are developing new guidelines to strengthen agentic AI cybersecurity as the annual Black Hat conference begins in Las Vegas today. The Linux Foundation today shared a Request for Comments on Shared...
NVIDIA Developer Blog / Company
How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure
Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared...
NVIDIA Developer Blog / Company
Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because...
NVIDIA Developer Blog / Company
NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure
Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We...
NVIDIA Developer Blog / Company
Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....
Synopsys News Releases / Company
Synopsys Advances Agentic AI Chip Design with AMD and Microsoft
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