AMD EPYC™ 8005 Server CPUs
…Cloud Storage With 96 PCIe® Gen 5 lanes and right-sized memory, system builders can deliver hyperscale-class, energy-efficient storage devices and solutions within a cost-optimized bill of materials (BOM…
DOCA Argus is the runtime threat detection microservice that provides real-time visibility and situational awareness across the AI factory. Argus is the foundation of the DOCA security stack. Running on BlueField data and storage processors, DOCA Argus continuously observes workload behavior at runtime using advanced memory analysis, enabling organizations to detect threats, monitor integrity, and understand operational state without impacting AI workload performance. Unlike traditional host-based security approaches, DOCA Argus operates independently from the compute node it protects. By leve
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical BlogDOCA Vault is a data security framework purpose-built for file-based, AI-native storage, enabling real-time control over how data is accessed across the AI factory. DOCA Vault enforces granular authorization policies directly in silicon, independent of the host operating system and storage platform. This enables a zero-trust access layer for file-based storage, ensuring that only authorized AI workload processes—including agents, training jobs, inference services, and AI applications—can access the specific data required for operation and only with explicitly permitted actions. Unlike traditi
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog…Cloud Storage With 96 PCIe® Gen 5 lanes and right-sized memory, system builders can deliver hyperscale-class, energy-efficient storage devices and solutions within a cost-optimized bill of materials (BOM…
…AI shortages AI data centers are swallowing the world's memory and storage supply Chip scarcity assaults auto industry amid the worsening Nexperia and DRAM crisis Samsung and SK hynix shorten memory…
…memory-constrained systems to support larger Mixture-of-Experts (MoE) AI models, longer-running AI sessions and agentic AI workflows. Today, AI PCs are moving beyond simple assistant applications toward more advanced…
…advanced AI clusters and HPC networks." "AI infrastructure is increasingly defined by how efficiently data can move between heterogeneous compute and memory resources," said Jeff Janukowicz, VP, Semiconductors and Enabling Technologies. "Advanced…
…is not a lot for advanced AI-driven NAS features. But then again, LincOS doesn't have advanced features like local transcription , so this amount of memory might just be more than…
…Yang highlighted the “evolution of form factors” and “advancement of cooling technologies” as key technical directions for maximizing the efficiency of memory solutions used in AI data centers, and introduced various ongoing…
…targeted solutions and domain-optimized performance AI Cloud Compute infrastructure and cloud services optimized for AI workloads Silicon Technologies Advanced hardware encompassing compute, memory, storage, power management, and packaging innovations Interconnects High…
…AI is in very early innings; you just saw at GTC how much advances are being made in AI. And memory is a strategic asset; you need more memory, you need faster…
…level of processor power, memory, and storage they need. For example, employees who do complex tasks or use resource-intensive applications for their work—such as AI modeling, video editing, 3D modeling…
…Optimized Cloud Storage and BigQuery connectors High-performance compute is useless if the engine is starved for data. With Lightning Engine, we’ve optimized our storage connectors to ensure that reading data…