Reports
AI-generated structured vendor updates
NVIDIA Partners with Thinking Machines Lab for Gigawatt-Scale AI Infrastructure
NVIDIA and Thinking Machines Lab form a multi-year partnership to deploy at least 1 GW of next-gen Vera Rubin systems for cutting-edge AI model training and scalable customized AI platforms. The collaboration includes co-designing training and inference systems and expanding access to advanced AI and open-source models for enterprises and research institutions.
NVIDIA Proposes Five-Layer AI Cake Theory Defining Infrastructure Buildout Framework
NVIDIA CEO presented a five-layer AI development framework at Davos, systematically outlining full-stack construction from energy infrastructure, compute infrastructure, AI models, AI applications to industry AI factories. The framework emphasizes hierarchical synergistic development driven by generative AI, providing an ecosystem perspective for enterprise AI strategy planning.
NVIDIA Extends CUDA Tile Programming Model to Julia Language
NVIDIA introduces its CUDA Tile high-level GPU programming model to the Julia ecosystem via the cuTile.jl package. This move aims to lower the barrier to high-performance GPU kernel development by abstracting low-level thread and memory management with a tile-based data model, while maintaining high syntax and performance parity with the Python version.
AMD to Unveil End-to-End AI Strategy and Product Roadmap
AMD announces Advancing AI event to articulate its AI vision and update end-to-end product portfolio. The event likely covers AI accelerators and software ecosystem from data center to edge, demonstrating its strategy to strengthen full-stack AI capabilities.
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.
Ericsson and Intel Collaborate on AI-Native 6G Network Architecture
Ericsson and Intel announced deepened collaboration to advance AI-native 6G from research to commercialization. The partnership integrates wireless access network, packet core, and cloud RAN technologies with focus on AI-driven architecture. It aims to create open and efficient 6G development path using Intel Xeon processors and advanced process nodes.
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 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.
Cisco's Second AI Summit Focuses on AI Economy Builders, Uniting Infrastructure and Model Layer Leaders from NVIDIA, OpenAI, AWS, Google
Cisco announced its second annual AI Summit on February 3, 2026, hosted by CEO Chuck Robbins and CPO Jeetu Patel. The speaker lineup unites decision-makers across AI infrastructure (NVIDIA, AWS, Google), core models (OpenAI, Anthropic), applications (Figma, Box), and capital (Andreessen Horowitz). The agenda spans the full spectrum of AI's influence, from reshaping compute, venture capital, and infrastructure to redefining design, workforce, and geopolitics.
Intel's 18A Xeon 6+ and Rack Scale AI: A CPU-Centric Challenge to NVIDIA's Inference Empire
At Computex 2026, Intel launched the 18A-node Xeon 6+ processor, the Rack Scale AI platform with SambaNova's SN-50 RDU, and a fully disaggregated inference service (Vector Core Compute). This CPU-centric hybrid architecture targets agentic AI inference workloads, directly challenging NVIDIA's Vera Rubin NVL72 and GPU-dominated ecosystem.
Qualcomm and Snap Deepen Collaboration, Betting on XR Devices as New AI Computing Endpoints
Qualcomm and Snap's subsidiary, Specs Inc., have signed a multi-year strategic agreement to power future Specs smart glasses with Snapdragon XR platforms. The collaboration aims to establish a scalable foundation for developers to create more intelligent and private on-device AI experiences on eyewear. This move signifies an evolution of their long-term partnership from consumer AR glasses towards a platform emphasizing device-side AI agents and immersive computing.