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...
Marvell Technology forecasted strong fiscal 2028 revenue growth driven by demand for its AI-focused chips and interconnect technologies, following a first-quarter earnings beat. The company’s outlook ...
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...
AI data centers in the US are rapidly increasing electricity demand, putting strain on the power grid comparable to large cities. While efficiency efforts help, the scale of AI workloads requires new ...
The Mesh argues that for edge AI hardware, energy efficiency has become more critical than minimizing chip size due to stringent power constraints in real-world devices. Prioritizing power consumption...
Marvell Technology’s $5.5 billion investment in networking and security silicon marks a strategic shift in AI infrastructure, emphasizing connectivity and chip-level security alongside compute. This m...