Data Center Electronics
Made to Scale
Reduce power, boost performance, and ensure uptime with deep data monitoring purpose-built for hyperscale and enterprise infrastructure.
Reduce power, boost performance, and ensure uptime with deep data monitoring purpose-built for hyperscale and enterprise infrastructure.
Combine on-chip monitoring with embedded applications and turn chips into system sensors.

Detect, predict, and prevent faults during system operation, before they impact users.
Prevent functional failures
Avoid silent data corruption (SDC)
Employ predictive maintenance
Eliminate system-wide errors
Dynamically adjust power consumption and boost frequency under functional workloads, with built-in reliability assurance.
Increase performance-per-watt
Extend system lifetime
Reclaim design guard-bands
Assure functionality with a safety net


Gain in-chip visibility for SoC bring-up and test optimization, with cloud analytics and inline decisions.
Reduce time to market
Improve quality & reliability
Reduce power, boost performance
Increase operational efficiencies
Turn chips into system sensors for actionable insights at board and system level, to detect anomalies and ensure quality, performance and cost at product ramp and high-volume testing.
Increase quality & reliability
Shorten time to market
Optimize power/performance
Accelerate root cause analysis


Ensure performance and reliability of chiplets, 2.5D and 3D packages with die-to-die interconnect visibility.
Reduce time to market
Detect latent defects
Gain per-lane grading
Prevent failures
Mohit Gupta • SVP and GM, Custom Silicon and IP, Alphawave
Kalyan Mulam • SVP of ASIC Engineering, Astera Labs
Ran Schrift • Director of Operations, Xsight Labs
Eddie Ramirez • VP of Go-to-Market, Infrastructure Line of Business, Arm
Dive deep into proteanTecs health and performance monitoring solutions for modern data centers.
In this white paper, we introduce proteanTecs' Real-Time Health Monitoring (RTHM) application, a proactive solution designed to predict and prevent failures before they occur.
Two-stage detection approach, offering SDC prevention solutions for different stages of a chip's lifespan: ML-powered Outlier Detection for semiconductor defect detection and Real-Time Health Monitoring for in-field predictive and prescriptive maintenance.
This webinar discusses what is needed to design, manufacture and deploy advanced SoCs for AI applications today (and tomorrow).
Delve into the intricacies of power consumption, exploring the economics of three key components: CPUs, GPUs, and AI accelerators, and how the implementation of proteanTecs power reduction solution transforms both power efficiency and computational capabilities.
AVS Pro is a closed-loop hardware-firmware application for reliability and functional-workload aware adaptive voltage scaling (AVS).
We combine deep data from on-chip Agents with machine learning to turn system health monitoring into actionable insights - predicting faults, extending uptime, and improving reliability.