Edge And Micro Data Centers: Powering The Real-Time Digital World


The modern world no longer runs on delayed responses. It runs on immediacy. When a self-driving vehicle identifies a pedestrian, when a factory robot adjusts production in milliseconds, or when an augmented reality overlay appears instantly during remote surgery, there is no tolerance for latency. These applications demand data processing that happens almost at the speed of human reflexes. B... » read more

5 Strategic Decisions for Building a Scalable Compute Platform for Now and the Future


Artificial intelligence (AI) is no longer a “nice-to-have” technology—it’s a central driver of competitive advantage and business innovation. Across industries, enterprises are moving beyond experimentation and embedding AI into all their products, workflows, and customer experiences. But as organizations scale, many are discovering a stark reality: their compute infrastructure was not ... » read more

Resilient And Optimized GenAI Systems


AI and data center systems are being pushed to their limits, with soaring complexity, nonstop inference workloads, and rising energy demands. Addressing these pressures requires more than incremental improvements, it calls for collaboration across the ecosystem. That’s why proteanTecs has joined forces with Arm, bringing our real-time monitoring technology into Arm’s Neoverse Compute Subsys... » read more

Enabling The Future: Heterogeneous Integration From Connected Devices To Data Centers


The digital landscape is evolving at an unprecedented pace. From smartphones and wearables to autonomous vehicles and hyperscale data centers, the demand for faster, smarter, and more efficient electronics is reshaping the semiconductor industry. At the core of this transformation is heterogeneous integration—the convergence of multiple technologies, functions, and components into unified sys... » read more

Hybrid Approach Emerges For Edge/Cloud Inspection Of Chips


An explosion in data from inspection images and metrology measurements is creating a confusing set of demands for chipmakers and their equipment vendors. On one hand they need the massive storage and compute resources of the cloud to utilize AI/ML-based models, but they also need the faster response time of the edge to make adjustments at the tool level. Balancing these requirements is a mas... » read more

Cloud vs. Edge Gaming: Performance Gap Is Shrinking


Chip designers and gaming companies are scrambling to figure out whether the gaming market will tilt toward the cloud, the edge, or some combination of both. Multi-gigabit internet allows more people to play high-end games in the cloud, but edge-based gaming consoles and devices remain well-rooted, more secure, and private. Which one wins? So far, there are more questions than answers. Handh... » read more

Complex Mix Of Processors At The Edge


With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to training and inference that may emerge. There are a slew of options for high-end and budget phones, hyperscalers, and low-cost, low-power edge devices, and while GPUs keep making headlines, many designe... » read more

The Painful Reality Of Scaling Cloud AI


The shift to Generative AI (GenAI) has overwhelmed existing infrastructure, transforming previously rare issues into daily operational realities. Skyrocketing costs, intense energy consumption, and hardware failures at unprecedented scales illustrate the strain of current AI workloads. With models like GPT-4 costing tens of millions and GPT-5 projected to surpass a billion-dollar threshold, the... » read more

Scaling Real-Time Visitor Ingestion And ML Inference


When SiteMana onboarded a large new publisher, our infrastructure load increased exponentially overnight. Each visitor page view flowed directly into our real-time ingestion pipeline. This rapid traffic caused CPU credits to quickly exhaust on our AWS x86-based t3.medium instances. As a result, performance was throttled at the exact moment we needed stability most. We quickly realized our syste... » read more

Are You Ready For AI?


The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

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