First-of-its-kind system brings unmatched flexibility, density, and automation to validation and production environments
BEAVERTON, Ore., Sept. 16, 2025 /PRNewswire/ -- Tektronix today unveiled the MP5000 Series modular precision test system, a transformative solution that sets the pace for the future of automated test. Built on the principle of modularity, it allows engineers to combine precision source measure units (SMUs) and programmable power supply units (PSUs) within a compact 1U mainframe—delivering the adaptability and scalability modern validation and production workflows demand.
At launch, the system includes a 60-volt dual-channel SMU, a dual-channel 50-watt bipolar power supply, and the MP5103 mainframe. Engineers can configure up to six independent channels per chassis and connect up to 32 mainframes for high-throughput, tightly synchronized multi-site testing. Modules can be swapped in minutes, enabling customers to expand capabilities or service individual channels without downtime.
"Automated test has always been about balancing precision with productivity," said Chris Bohn, President, Tektronix. "With this modular system, customers can scale their power and measurement strategy as fast as their innovation demands—without compromise. This is more than a system; it's a blueprint for the next decade of automated test."
Applications that demand precision and flexibility
From validation and reliability testing to high-volume production, the MP5000 Series delivers the flexibility, channel density, and automation needed to keep pace with evolving requirements. By combining precision with scalability, it provides a modern foundation for the most demanding workflows—while the broader platform ensures customers can grow into what's next.
What sets the MP5000 Series apart
Every detail of the MP5000 Series was designed to help engineers do more with less—less rack space, less downtime, less complexity. Key advantages include:
- Future-ready modularity – reconfigure in minutes to meet changing needs by mixing SMUs and PSUs within the mainframe
- High density, compact design – scale up to 6 channels per 1U chassis and connect up to 32 mainframes for parallel, multi-site testing
- Performance without limits – SMU modules with 100 fA resolution and 1 MSa/s digitization for high-speed capture; PSU modules deliver up to 50 W per channel with bipolar output and advanced protection
- Automation built in – a test script processor (TSP) eliminates PC-instrument latency with sub-microsecond synchronization across racks; integrates with Python, LabVIEW, and IVI drivers
- Maximum uptime – module-only calibration, independent slot power control, and intuitive web and touch interfaces keep systems running with less interruption
Looking ahead: A modular future
This launch marks the beginning of a new modular era at Tektronix. Development is already underway on a 200-volt SMU module with higher pulsing capabilities, extending the platform into demanding semiconductor and optoelectronic applications. Expected in early 2026, it underscores the rapid pace of expansion—and reinforces that this system was built to evolve with the future of test.
Availability & models
The MP5000 Series modular test system is available for order today. The MP5103 mainframe and MPSU50-2ST power supply module will begin shipping in October, and the MSMU60-2 60V SMU module in November. At launch, customers can choose from:
- MP5103 mainframe – 3-slot, 1U rack-mountable chassis
- MSMU60-2 60V dual-channel SMU module – precision source/measure with high-speed digitization
- MPSU50-2ST Dual-channel bipolar power supply module – 50 W per channel with advanced protection and bipolar output
About Tektronix
Tektronix is the partner engineers have trusted to measure, discover, and innovate for nearly 80 years. Today we deliver test and measurement solutions that unite precision with simplicity, helping engineers accelerate breakthroughs that shape a better tomorrow. Learn more at tek.com/newsroom.
Tektronix is a registered trademark of Tektronix, Inc. All other trade names referenced are the service marks, trademarks, or registered trademarks of their respective companies.
Media Contacts:
Jill Bailey, Tektronix: jill.bailey@tektronix.com
Becca Wirta, Publitek: becca.wirta@publitek.com
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
Tektronix redefines automated test with the MP5000 Series modular precision test system
SAN MATEO, Calif., Dec. 13, 2025 /PRNewswire/ -- AI infrastructure company EverMind has recently released EverMemOS, an open-source Memory Operating System designed to address one of artificial intelligence's most profound challenges: equipping machines with scalable, long-term memory.
The Memory Bottleneck
For years, large language models (LLMs) have been constrained by fixed context windows, a limitation that causes "forgetfulness" in long-term tasks. This results in broken context, factual inconsistencies, and an inability to deliver deep personalization or maintain knowledge coherence. The issue extends beyond technical hurdles; it represents an evolutionary bottleneck for AI. An entity without memory cannot exhibit behavioral consistency or initiative, let alone achieve self-evolution. Personalization, consistency, and proactivity, which are considered the hallmarks of intelligence, all depend on a robust memory system.
There is a consensus that memory is becoming the core competitive edge and defining boundary of future AI. Yet existing solutions, such as Retrieval-Augmented Generation (RAG) and fragmented memory systems, remain limited in scope, failing to support both 1-on-1 companion use cases and complex multi-agent enterprise collaboration. Few meet the standard of precision, speed, usability, and adaptability required for widespread adoption. Equipping large models with a high-performance, pluggable memory module remains a core unmet demand across AI applications.
Discoverative Intelligence
"Discoverative Intelligence" is a concept proposed in late 2025 by entrepreneur and philanthropist Chen Tianqiao. Unlike generative AI, which mimics human output by processing existing data, Discoverative Intelligence describes an advanced AI form that actively asks questions, forms testable hypotheses, and discovers new scientific principles. It prioritizes understanding causality and underlying principles over statistical patterns, a shift Chen argues is essential to achieving Artificial General Intelligence (AGI).
Chen contrasted two dominant AI development paths: the "Scaling Path," which relies on expanding parameters, data, and compute power to extrapolate within a search space, and the "Structural Path," which focuses on the "cognitive anatomy" of intelligence and how systems operate over time.
Discoverative Intelligence falls into the latter category, built on a brain-inspired model called Structured Temporal Intelligence (STI) that requires five core capabilities in a closed loop: neural dynamics (sustained, self-organizing activity to keep systems "alive"), long-term memory (storing and selectively forgetting experiences to build knowledge), causal reasoning (inferring "why" events occur), world modeling (an internal simulation of reality for prediction), and metacognition & intrinsic motivation (curiosity-driven exploration, not just external rewards).
Among these capabilities, long-term memory serves as the vital link between time and intelligence, highlighting its indispensable role in the path toward achieving true AGI.
EverMind's Answer
EverMemOS is EverMind's answer to this need: an open-source Memory Operating System designed as foundational technology for Discoverative Intelligence. Inspired by the hierarchical organization of the human memory system, EverMemOS features a four-layer architecture analogous to key brain regions: an Agentic Layer (task planning, mirroring the prefrontal cortex), a Memory Layer (long-term storage, like cortical networks), an Index Layer (associative retrieval, drawing from the hippocampus), and an API/MCP Interface Layer (external integration, serving as AI's "sensory interface").
The system delivers breakthroughs in both scenario coverage and technical performance. It is the first memory system capable of supporting both 1-on-1 conversation use cases and complex multi-agent enterprise collaboration. On technical benchmarks, EverMemOS achieved 92.3% accuracy on LoCoMo (a long-context memory evaluation) and 82% on LongMemEval-S (a suite for assessing long-term memory retention), significantly surpassing prior state-of-the-art results and setting a new industry standard.
The open-source version of EverMemOS is now available on GitHub, with a cloud service version to be launched late this year. The dual-track model, combining open collaboration with managed cloud services, aims to drive industry-wide evolution in long-term memory technology, inviting developers, enterprises, and researchers to contribute to and benefit from the system.
About EverMind
EverMind is redefining the future of AI by solving one of its most fundamental limitations: long-term memory. Its flagship platform, EverMemOS, introduces a breakthrough architecture for scalable and customizable memory systems, enabling AI to operate with extended context, maintain behavioral consistency, and improve through continuous interaction.
To learn more about EverMind and EverMemOS, please visit:
Website: https://evermind.ai/
GitHub: https://github.com/EverMind-AI/EverMemOS
X: https://x.com/EverMindAI
Reddit: https://www.reddit.com/r/EverMindAI/
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
AI Infrastructure Company EverMind Released EverMemOS, Responding to Profound Challenges in AI
