Reports
AI-generated structured vendor updates
NVIDIA携手Coherent扩产AI光互联
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MediaTek AI ASIC Deal with Google Reshapes Custom Silicon Landscape
MediaTek's landmark ASIC deal with Google for AI infrastructure doubles 2026 revenue target to $2B. Joint N1X CPU with Nvidia for RTX Spark AI PC and potential SpaceX/xAI orders on Intel 14A process signal a strategic pivot from consumer chips to AI custom silicon, challenging Broadcom's dominance.
Global GPU Shortage to Persist Until 2027: Core Bottleneck for AI Infrastructure Expansion
Global GPU shortage expected to extend to 2027-2028, rooted in AI data center demand surge, constrained HBM production, CoWoS packaging tightness, and geopolitical risks. NVIDIA Rubin's mass production hindered (target reduced from 2M to 1.5M units), with Blackwell capturing 71% of high-end GPU shipments in 2026. Consumer RTX 5080/5070 Ti priced $200-$500 above MSRP, enterprise AI infrastructure procurement cycles will further extend.
NVIDIA Rubin Era: 1.8kW GPU TDP and Mandatory Liquid Cooling Reshape Data Centers
NVIDIA's mandatory liquid cooling is a landmark event in AI infrastructure 'qualitative change' of physical form. When chip power exceeds 1.8kW, air cooling physical limits are breached, the entire data center industry chain—from power architecture, cooling systems to building structure—must be redesigned. This isn't technology upgrade but paradigm shift.
Nokia Partners with NVIDIA on AI-RAN Platform to Accelerate 6G Evolution
Nokia and NVIDIA have formed a strategic partnership, with NVIDIA investing $1 billion and jointly launching AI-RAN products based on NVIDIA's computing platform. The collaboration aims to embed AI data center capabilities into the RAN, driving the transition from 5G to AI-native 6G networks, with T-Mobile as the first deployment customer.
NVIDIA Collaborates with Energy Leaders to Position AI Factories as Smart Grid Assets
NVIDIA, in collaboration with Emerald AI, proposes treating large-scale AI data centers (AI factories) as flexible, intelligent grid assets rather than static power loads. This architecture integrates accelerated computing, power networking, and control to enhance grid reliability and optimize energy efficiency. Several major energy companies plan to collaborate on this architecture to support AI workloads and accelerate power connection.
Arm Launches Self-Developed AGI CPU for AI Data Center Market
Arm introduces its first self-developed AGI CPU for AI data centers, featuring Neoverse V3 architecture with claimed 2x performance per rack over x86 platforms. This marks Arm's strategic shift from IP licensing to silicon provider, with support from key customers including Meta and OpenAI.
Meta Partners with Arm to Develop New AI Data Center CPUs
Meta partners with Arm to co-develop data center CPUs optimized for AI workloads. The first product, the Arm AGI CPU, aims to boost rack performance density for large-scale AI deployments. It will be available through Arm's ecosystem, with board designs to be open-sourced via the Open Compute Project.
Meta and Arm Collaborate on AI-Optimized Data Center CPU
Meta partners with Arm to develop Arm AGI CPU optimized for AI workloads, targeting higher performance density and energy efficiency. As lead partner, Meta will open-source hardware designs via OCP and integrate with its proprietary MTIA chips.
NVIDIA Defines Flexible AI Factory as Dispatchable Grid Asset
NVIDIA partners with energy firms to introduce Flexible AI Factory concept, using AI platform to dynamically align computing loads with grid demand. This transforms AI data centers from energy consumers to prosumers with grid support capabilities through software-defined optimization.
AMD Highlights CPU's Critical Role in Agentic AI Orchestration and Inference
AMD states Agentic AI workloads require serial decision-making and context management, better suited for CPUs. The company emphasizes high-core-count, high-memory-bandwidth server CPUs will lead in agent orchestration and lightweight inference, complementing GPUs in training. This signals a strategic repositioning of CPUs in AI data center architecture.
Cisco Accelerates AI Data Center Deployment with Certified Refurbished Equipment
Cisco introduces a certified refurbished equipment program, offering rigorously tested hardware with full warranty and performance matching new products to accelerate AI-ready data center deployment. The solution reduces deployment time by up to 80% while optimizing capital efficiency and promoting sustainability.
Huawei Releases AI-Native Data Center Networking Solution Galaxy AI Fabric 2.0
Huawei launched Galaxy AI Fabric 2.0 data center networking solution with AI-Native architecture for autonomous networking. It includes self-developed Solar 5.0 chip switches, iLossless 3.0 algorithm, and intelligent management platform, supporting 10,000-card AI clusters.
NVIDIA Partners with Coherent on Data Center Optical Interconnect Tech
NVIDIA partners with photonics specialist Coherent to develop next-gen data center optical interconnect technology. The collaboration targets high-performance, high-density, low-power optical solutions for AI and HPC workloads, addressing bandwidth and efficiency bottlenecks. This strengthens NVIDIA's system-level optimization in AI infrastructure hardware ecosystems.
Intel Partners with SambaNova to Expand AI Inference Infrastructure
Intel announces multi-year strategic partnership with SambaNova to develop AI inference solutions based on Xeon processor infrastructure. The collaboration integrates Intel's compute, networking, storage hardware with SambaNova's AI platform, offering rack-scale inference options for heterogeneous data centers. Intel confirms this doesn't alter its independent GPU roadmap and will continue investing in edge-to-cloud AI products.
OpenAI partners with SoftBank for gigawatt-scale AI data center campuses
OpenAI partners with SoftBank Group and SB Energy to develop multi-gigawatt AI data center campuses, including a 1.2 GW Texas facility supporting the Stargate initiative, signaling a shift toward energy-intensive AI infrastructure at scale.