The Mesh argues that rising CPU demand driven by agentic AI requires a strategic shift in AI infrastructure priorities. While GPUs remain vital, CPUs now play an indispensable role in managing complex...
Marvell’s surge in AI interconnect chip demand and NVIDIA’s NVFP4 low-precision format breakthrough highlight a growing synergy in AI infrastructure. Together, these advances show how hardware and mod...
The Mesh argues that as AI data centers rapidly expand, merely paying for electricity is insufficient to address the resulting grid strain and environmental impact. The opinion piece calls for integra...
KAUST and Compumacy have introduced a co-optimization framework for in-memory AI accelerators that improves performance and energy efficiency across multiple neural network workloads. Validated throug...
The Mesh argues telecom operators must adopt a balanced AI infrastructure strategy that combines cloud outsourcing with selective in-house control. This hybrid approach addresses critical concerns aro...
25G Ethernet is rapidly becoming the preferred standard for real-time AI data movement at the edge, balancing bandwidth, latency, cost, and power efficiency. Its adoption across automotive, industrial...
Recent research from KAUST and Compumacy introduces a co-optimization framework that enhances in-memory AI accelerators' versatility by jointly optimizing hardware design, workload characteristics, an...
Marvell Technology’s recent earnings beat and optimistic fiscal 2028 revenue forecast highlight a transformative shift in AI infrastructure toward diversified, custom silicon and integrated connectivi...
KAUST and Compumacy have introduced a novel optimization framework for in-memory AI accelerators that simultaneously targets multiple AI workloads. This approach aims to improve efficiency and adaptab...
Telecom operators are increasingly outsourcing AI infrastructure to cloud providers to manage soaring costs and scalability challenges. This shift improves flexibility but raises questions about laten...