Panzura has launched its Nexus platform, enabling AI copilot large language models to access distributed enterprise data directly and securely across hybrid and multi-cloud environments. This development addresses latency and security challenges in AI infrastructure, facilitating more efficient AI w...
Rising AI workload demands are prompting data centers to shift from traditional AC to DC power architectures. This transition reduces energy losses, supports higher power densities, and aligns with sustainability goals. While upfront costs and legacy infrastructure challenges remain, DC power delive...
The integration of multi-silicon inference clouds and disaggregated LLM deployments is reshaping AI infrastructure by addressing inference bottlenecks with heterogeneous hardware and cloud-native orchestration. This analysis explores recent investments and technological advances, highlighting their ...
The inference lattice is reshaping AI compute by distributing inference workloads across specialized, geographically dispersed nodes rather than relying on centralized mega-clusters. This shift addresses physical and social constraints of hyperscale data centers, improves latency and resilience, and...
Tesla and SpaceX’s announcement of Terafab, a $25 billion semiconductor fab targeting 1 terawatt of AI compute annually, signals a potential paradigm shift in AI chip manufacturing. While the scale promises to alleviate supply constraints and accelerate innovation, significant technological and oper...
In 2026, AI infrastructure growth is increasingly constrained by energy supply challenges, prompting over $100 billion in investments into energy technologies and new utility models like 'bring your own power.' This analysis examines how these energy limitations are reshaping data center strategies,...
Unified AI infrastructure at the edge integrates compute, connectivity, and power management within micro data centers, enabling real-time AI workloads with ultra-low latency and improved power effici...
Marvell Technology’s recent earnings and growth forecast highlight a shift in AI data center infrastructure toward specialized chips and interconnects. This trend reflects broader industry moves towar...
Seven leading AI companies and hyperscale cloud providers have committed to fully fund power generation and grid upgrades needed for their data centers, under an agreement brokered by the White House....
This blog highlights three key AI infrastructure trends for 2026: NVIDIA’s NVFP4 low-precision format, the growing role of edge data centers, and new security guidance for autonomous AI systems. Toget...
In 2026, edge data centers, on-chip security, and AI inference agents are converging to overcome latency, power, and security challenges in AI deployment. This trio is reshaping where and how AI opera...
The rapid growth of AI workloads is intensifying strain on US power grids, prompting a shift from centralized hyperscale data centers to distributed edge and micro data centers. Innovations in power-e...
Marvell Technology’s recent earnings beat, driven by demand for AI-focused interconnect chips, signals a growing market recognition of the critical role that network infrastructure plays alongside GPU...
Telecom companies are increasingly moving away from costly on-prem AI infrastructure towards cloud-based solutions, driven by financial and technical advantages. This shift raises questions about cont...
The rapid growth of AI data centers in the U.S. is stressing the electrical grid, threatening infrastructure expansion and grid reliability. Leading tech companies have pledged to cover electricity co...
The U.S. Nuclear Regulatory Commission has granted a construction permit to TerraPower for its Natrium sodium-cooled fast reactor at Wyoming's Kemmerer site. This marks the first NRC approval for a co...