Reports
AI-generated structured vendor updates
Check Point AI Factory Blueprint: Security Control Shifts to NVIDIA DPU and LLM Layer
Check Point unveils AI Factory Security Blueprint, tightly integrating its firewall with NVIDIA BlueField DPU via DOCA. The architecture enforces security at four layers: LLM, AI infrastructure, perimeter, and workload. The new AI Factory Firewall delivers hardware-accelerated threat prevention without consuming CPU/GPU cycles, aiming to embed security into the AI fabric.
AMD and NAVER Cloud Collaborate on Sovereign AI Infrastructure in Korea
AMD and NAVER Cloud announced a strategic collaboration to accelerate sovereign AI infrastructure in Korea. NAVER Cloud will expand deployment of AMD EPYC "Venice" CPUs and gain early access to next-gen Instinct MI455X GPUs, with joint optimization of AI services and software stacks on AMD platforms.
AMD and Samsung Deepen Collaboration, Locking HBM4 Supply and Exploring Foundry Partnership
AMD and Samsung signed an MOU, designating Samsung as the primary HBM4 supplier for the next-gen Instinct MI455X GPU and collaborating on DDR5 memory optimized for 6th Gen EPYC CPUs. The companies will also explore opportunities for Samsung to provide foundry services for future AMD products.
NVIDIA and Telecom Operators Build AI Grids to Redistribute AI Inference
NVIDIA is partnering with global telecom operators like AT&T and Comcast to transform existing distributed network sites into 'AI Grids' for edge AI inference. This initiative aims to deploy AI compute closer to users and data, reducing latency and cost per token. It represents a strategic shift for telcos from being data carriers to distributed AI computing platforms.
HPE Launches AI Grid with NVIDIA to Unify Distributed Inference Clusters
HPE announced the AI Grid at NVIDIA GTC, an end-to-end solution built on NVIDIA's reference architecture to securely connect distributed AI factories and inference clusters into a single intelligent system. It enables service providers to deploy and operate thousands of edge inference sites, meeting the predictable, low-latency infrastructure requirements of AI-native applications.
HPE Report Shows Attackers' AI-Driven Business Models
HPE Threat Labs report reveals cyber adversaries adopting business-like operations with automation and generative AI to scale attacks. Based on 2025 global threat analysis, it underscores the need for AI-integrated defenses and zero trust.
HPE Unveils AI Grid Solution for AI WAN Fabric with NVIDIA
HPE announced a collaboration with NVIDIA to launch the AI Grid Solution, securely scaling edge AI. The solution transforms WAN into an AI WAN fabric, connecting distributed inference sites with AI factories for consistent policy and predictable performance. It enables service providers to evolve from connectivity to AI services.
Project Rheo: NVIDIA Shifts Robot Training Control from Real Hospitals to Simulation
NVIDIA unveils Project Rheo, a blueprint combining Isaac Sim, GR00T VLA models, and synthetic data generation for hospital robotics. Developers train Physical AI policies in digital twins—loco-manipulation (surgical tray pick-and-place) and precision bimanual tasks (trocar assembly)—with Cosmos Transfer 2.5 for cross-scene generalization.
Cisco Expands Secure AI Factory with NVIDIA to Edge and Security
Cisco expands its Secure AI Factory with NVIDIA to enable AI deployment from data centers to edge sites, adding security capabilities like firewall policy enforcement on DPUs and AI Defense integration, offering flexible architecture options to accelerate production scaling.
HPE Alletra MP X10000 Becomes First NVIDIA-Certified Object Storage Platform for Enterprise AI
HPE announces its Alletra Storage MP X10000 is the first object-based platform certified by NVIDIA for enterprise AI. This signifies the extension of AI performance certification standards from the compute layer to the data layer, aiming to address data access bottlenecks in large-scale AI training, fine-tuning, and inference.
HPE Positions AI Data Pipeline as the Platform, Outlining Pillars for Production AI
HPE argues enterprise AI is shifting from experimentation to production, reliant on an infrastructure platform comprising the data pipeline, unified storage, and accelerated compute. It highlights three pillars for success: consistent performance, predictable scaling, and long-term cost efficiency, addressing the complexities of AI workloads in production.
Introducing The Anthropic Institute \ Anthropic
AnnouncementsIntroducing The Anthropic InstituteMar 11, 2026We’re launching The Anthropic Institute, a new effort to confront the most significant challenges that powerful AI will pose to our societie...
Fortinet Integrates AI Agents and SASE in FortiOS 8.0
Fortinet introduces FortiOS 8.0 with fabric-based AI agents, secure AI controls, flexible SASE, and simplified SD-WAN to expand AI-driven security in enterprise networking, shifting control planes towards AI integration.
Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces
Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.
Cloudflare Threat Report Reveals Attack Shift from Breach to Identity Infiltration
Cloudflare's 2026 Threat Intelligence Report highlights a fundamental shift: attackers are moving from 'breaking in' to 'logging in', leveraging AI, supply chain compromises, and identity fraud. This necessitates a security focus shift from perimeter defense to internal identity verification and real-time threat intelligence.
Cisco Reports AI Infrastructure and Campus Networking Dual-Cycle Growth
Cisco's Q2 FY2026 results show $2.1B in AI infrastructure orders and a multi-year campus networking refresh cycle, with networking product orders growing over 20% YoY.
Cisco Defines Security Architecture for Agentic AI Era with Expanded AI Defense and SASE Capabilities
Cisco announced major updates to its AI Defense solution, adding AI supply chain governance and runtime protections to mitigate risks of agentic AI compromise. Concurrently, Cisco SASE introduced AI traffic detection and optimization capabilities to ensure secure and reliable agentic workflows. These developments reflect Cisco's strategic focus on converging AI security with networking architectures.
Cisco Launches AI Infrastructure Chip and AgenticOps Platform to Strengthen Unified Architecture Strategy
Cisco introduced Silicon One G300 chip and AgenticOps platform to optimize AI cluster network performance and job completion time, while simplifying hybrid cloud operations via unified Nexus One management plane. Its updated AI Defense solution focuses on AI supply chain governance and runtime protection.
Cisco Establishes AgenticOps as Core IT Operating Model for AI Era
Cisco expands AgenticOps operating model across its full portfolio, covering networking, security and observability. Powered by Deep Network Model and cross-domain telemetry, it enables intelligent execution including autonomous troubleshooting, continuous optimization and trusted validation. This represents a key evolution of Cisco's platform strategy towards AI-driven closed-loop operations.
Cisco Launches G300 Chip and Systems for AI Agent-Era Data Center Networking
Cisco introduces 102.4Tbps Silicon One G300 switching chip with liquid-cooled N9000/8000 systems delivering 70% energy efficiency, 1.6T optics support, and Nexus One unified management plane upgrade.