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How today’s enterprise architect juggles strategy, tech and innovation

CIO

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).

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EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

TechCrunch

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.

Hardware 216
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Can serverless fix fintech’s scaling problem?

CIO

The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Vendor lock-in.

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AI chip startup Axelera lands $27M in capital to commercialize its hardware

TechCrunch

Several years ago, Fabrizio Del Maffeo and a core team from Imec, a Belgium-based nanotechnology lab, teamed up with Evangelos Eleftheriou and a group of researchers at IBM Zurich Lab to develop a computer chip. It’s also not the first company pursuing an in-memory architecture for edge devices. billion by 2025.

Hardware 240
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Mastering technology modernization: 6 steps for building your road map

CIO

During my career I have developed a few mottos. Which are not longer an architectural fit? For example, a legacy, expensive, and difficult-to-support system runs on proprietary hardware that runs a proprietary operating system, database, and application. Which are obsolete? Which are a nightmare to support?

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UV: The Engineering Secrets Behind Python’s Speed King

Xebia

UV: The Engineering Secrets Behind Pythons Speed King Python packaging has long been a bottleneck for developers. – They rely on sequential processing despite modern multi-core hardware. Parallel Execution UV maximizes hardware utilization through a layered parallel architecture.

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Deep Vision announces its low-latency AI processor for the edge

TechCrunch

Hameed and Qadeer developed Deep Vision’s architecture as part of a Ph.D. “They came up with a very compelling architecture for AI that minimizes data movement within the chip,” Annavajjhala explained. , who recruited Ravi Annavajjhala, who previously worked at Intel and SanDisk, as the company’s CEO.