Architecture Hardware Scalability 
CIO
APRIL 16, 2025
Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).
CIO
FEBRUARY 11, 2025
Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Architecture complexity. Legacy infrastructure.
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TechCrunch
DECEMBER 14, 2022
EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.
TechCrunch
OCTOBER 25, 2022
Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. It’s also not the first company pursuing an in-memory architecture for edge devices.
CIO
MARCH 31, 2025
Core challenges for sovereign AI Resource constraints Developing and maintaining sovereign AI systems requires significant investments in infrastructure, including hardware (e.g., Many countries face challenges in acquiring or developing the necessary resources, particularly hardware and energy to support AI capabilities.
TechCrunch
JANUARY 9, 2023
In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. ” A DPU is a dedicated piece of hardware designed to handle certain data processing tasks, including security and network routing for data traffic. .”
CIO
APRIL 15, 2025
Ironwood brings performance gains for large AI workloads, but just as importantly, it reflects Googles move to reduce its dependency on Nvidia, a shift that matters as CIOs grapple with hardware supply issues and rising GPU costs.
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