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WHTop → 📋 News → Positron AI Raises $875M for Memory-First Inference Hardware
Positron AI Raises $875M for Memory-First Inference Hardware
📅 - Positron AI has raised $875 million at a $5 billion valuation to accelerate an inference architecture built around memory capacity, power efficiency, and commodity LPDDR5X rather than scarce HBM. The capital will fund new silicon, system production, and a 2 MW-plus engineering data center, giving infrastructure buyers another potential route around today's GPU supply and energy constraints.
The financing is unusually large for a chip company that is still moving its next custom processor toward tapeout. But Positron AI is entering a market where the cost of serving AI models is increasingly becoming an infrastructure problem rather than simply a processor procurement problem. Training [...][... Check source for end of article ...]
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📅 - Extreme Networks Brings Context-Aware AI Into Network Operations - Extreme Networks has made its Agent ONE Coworker generally available worldwide, embedding a context-aware AI system inside Extreme Platform ONE to analyze network behavior, recommend fixes, generate reports, and escalate support cases. The vendor says customers can resolve problems up to 15 times faster, extending automation deeper into day-to-day enterprise network operations without removing human oversight entirely.
The more consequential part is not the chatbot interface. Extreme Networks is trying to make its software watch the network continuously, compare current activity with historical baselines, and surface issues before an operator explicitly starts investigating. That shifts [...]
📅 - GTZHost Publishes Comprehensive 2026 Comparison: AMD EPYC vs Intel Xeon Dedicated Servers - Choosing between an AMD EPYC and an Intel Xeon processor is one of the most consequential infrastructure decisions a business will make in 2026. To assist enterprise clients and system administrators in optimizing their deployments, GTZHost has published an in-depth architectural comparison detailing exactly which workloads perform better on each platform when deployed as bare-metal dedicated servers.AMD EPYC: Built for Core Density and Virtualization According to the guide, AMD's EPYC server processor line is engineered around massive multi-core parallelism. GTZHost notes that configurations scale up to an industry-leading 128 physical cores per socket
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📅 - GTZHost Publishes Technical Guide on Installing NVIDIA Container Toolkit for Docker on Ubuntu 26.04 LTS - As the deployment of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs) continues to shift toward containerized microservices in 2026, efficient GPU resource allocation has become a critical necessity for DevOps and Data Science teams. Recognizing the complexities of managing GPU dependencies, GTZHost has released an in-depth, step-by-step technical tutorial detailing how to properly install and configure the NVIDIA Container Toolkit for Docker on the latest Ubuntu 26.04 LTS operating system.The Challenge of Containerized AI Workloads Docker has revolutionized application deployment by offering isolated, reproducible environments. Howe