AMD Details AI NIC Programmability Supporting Multiple Ethernet Transports
AMD published October 11, 2026 a blog post explaining how its programmable AI NIC architecture supports Ultra Ethernet Consortium, Multipath Reliable Connection, and MetaRoCE transports for AI workloads.
NVIDIA Releases Run:ai GPU Orchestration Platform as Open Source
NVIDIA announced October 13, 2026 that its Run:ai AI workload and GPU orchestration platform is now available as open source software within the DSX AI Factory ecosystem.
Microsoft to Scale Azure Maia to Multi-Gigawatt Deployments Starting 2027
Microsoft announced October 12, 2026 that Azure Maia 200 is serving production workloads including Copilot, while Maia 300 will begin deployment in 2027 with multi-gigawatt scale planned.
NVIDIA Launches Topograph for Topology-Aware GPU Scheduling
NVIDIA's Topograph optimizes GPU workload placement for AI factories, reducing latency and boosting efficiency across cloud and on-premises clusters.
NVIDIA DSX Boosts AI Factory Efficiency with 24% Token Gain
NVIDIA's DSX platform improves AI factory efficiency, achieving 24% more token throughput in fixed power budgets, reshaping industrial AI.
NVIDIA (NVDA) Plans 2-Gigawatt AI Expansion in Australia by 2027
NVIDIA partners with key Australian firms to build AI infrastructure with a 2-gigawatt capacity by 2027, boosting AI innovation and sovereignty.
NVIDIA Details GPU Sizing for AI Inference and TCO Optimization
NVIDIA explains how to size GPUs for AI inference workloads, balancing performance and TCO. Key for enterprises scaling generative AI.
AMD ROCm 10 Debuts with ROCm.AI, Promises 3.3x AI Gains
AMD launches ROCm 10, marking a 10-year milestone with new AI-native tools like ROCm.AI, delivering 3.3x inference and 2.4x training boosts.
NVIDIA Expands NVLink Fusion with NVHBM Memory Tech
NVIDIA's NVHBM boosts AI memory bandwidth by 30% while cutting power by 15%. Amazon's Annapurna Labs leads adoption.
NVIDIA NVLink Fusion and NVHBM Revolutionize AI Accelerators
NVIDIA's NVLink Fusion and NVHBM redefine AI infrastructure with up to 30% higher memory bandwidth and 15% lower power use, targeting next-gen AI factories.