Reports
AI-generated structured vendor updates
AMD Extends Edge AI Architecture to Space, Defining Orbital Computing Paradigm
AMD's CTO proposes applying the core principles of 'performance-per-watt' and 'mission-critical reliability' from terrestrial edge AI to space computing. The company is providing a repeatable platform foundation for in-orbit satellite intelligence and future orbital data centers through heterogeneous computing, open software stacks, and modular system design.
AMD Highlights AI PC as Critical Infrastructure for Enterprise Agentic AI in IDC White Paper
AMD released an IDC white paper indicating that over 80% of enterprises are planning, piloting, or deploying AI PCs to support scaled Agentic AI. The report highlights high-performance NPUs and on-device AI processing as critical for enabling real-time, secure workflows, signaling a shift in enterprise AI infrastructure from cloud to endpoint.
Cisco Unveils Universal Quantum Switch Prototype to Enable Quantum Network Interoperability
Cisco announced a research prototype of its Universal Quantum Switch, targeting a key hardware bottleneck in quantum networking. The device enables routing and conversion between quantum systems using different encoding modalities, operates at room temperature on standard telecom fiber, and lays the groundwork for scalable, heterogeneous quantum computing and sensing networks.
Nokia Opens R&D and Manufacturing Campus in Oulu Focused on AI-Driven Networks
Nokia has opened a new R&D and manufacturing campus in Oulu, Finland, dedicated to designing, testing, and delivering next-generation networks built for AI. The campus integrates R&D, smart manufacturing, and a partner ecosystem, aiming to advance 5G/6G and private networks to power the AI supercycle with essential connectivity.
AMD Announces Breakthrough MLPerf Inference 6.0 Results, Showcasing Multinode Scaling and Multimodal Capabilities
AMD's MLPerf Inference 6.0 submission, powered by Instinct MI355X GPUs, surpassed 1 million tokens per second for the first time on models like Llama 2 70B and GPT-OSS-120B. The results highlight efficient multinode scaling, rapid enablement of new workloads (e.g., text-to-video model Wan-2.2-t2v), and reproducible performance across a broad partner ecosystem.
Cisco Introduces Full-Stack Post-Quantum Cryptography Architecture
At Cisco Live 2026, Cisco unveiled the industry's first full-stack post-quantum cryptography (PQC) architecture using NIST-approved quantum-resistant algorithms, spanning from device boot integrity to data-in-transit protection. This represents the most significant cryptographic advancement in two decades, addressing the 'harvest now, decrypt later' threat posed by quantum computing.
HPE Enhances AI Security Architecture for Adoption Risks
HPE introduces SRX400 Series Firewalls, expanded hybrid mesh security, and AI governance capabilities to secure AI adoption. Features include AI app visibility, prompt-level inspection, and identity-based protection to mitigate data exposure risks.
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.
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.
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