Ahead of the stable GIMP 3.2 release hopefully happening soon, GIMP 3.2 RC3 was released this evening for testing...
With our previous release of Red Hat OpenShift AI, we established a solid foundation for your enterprise AI infrastructure. Today, with the release of OpenShift AI 3.3, we are tackling the polarizing forces that often prevent AI projects from reaching production—the need for rigorous governance versus the demand for rapid developer access.OpenShift AI 3.3 introduces a suite of tools designed to manage a centralized hub of AI assets while optimizing for the multimodel, multiagent future.Centralized assets: The AI hubAs enterprises move beyond single-model use cases, discoverability becomes a
In the enterprise world, the AI hype has officially met the reality check. Organizations are no longer asking if AI can help; they are asking how fast it can deliver value without breaking the bank or the infrastructure.At Red Hat, we see a recurring pattern: the most successful AI pioneers aren't just building better models - they are building better environments to manage those models. From banking in Istanbul to government services in Spain, here is how Red Hat AI is turning weeks of waiting into minutes of doing.Use Case 1: Accelerating data science productivityThe innovation tax in AI is
As organizations modernize their IT environments, Windows workloads continue to play a critical role across business operations. At the same time, licensing complexity and operational overhead are driving teams to evaluate more flexible and cost-effective paths to the cloud.Today, we announce the general availability of Windows License Included for Red Hat OpenShift Virtualization on Red Hat OpenShift Service on AWS (ROSA), providing customers with a simpler way to run Windows virtual machines alongside Linux workloads and containerized applications on a fully managed hybrid application platfo
Enterprises can now serve Earth and space AI models—like those developed by NASA and IBM—on Red Hat AI Inference Server, with autoscaling on Red Hat OpenShift AI.Earth and space AI is moving from research to production—extreme weather risk, solar flare forecasting, disaster response, precision agriculture, and urban planning all depend on turning petabytes of satellite and sensor data into decisions. New foundation models, like those developed by NASA and IBM, bring high-accuracy, multimodal representations of the systems captured by these petabytes of data. This includes Prithvi-EO for
A Virtualization Migration Assessment (VMA) is a strategic engagement designed to help organizations modernize their infrastructure. It provides a structured path for organizations looking to migrate virtualized workloads to Red Hat OpenShift Virtualization, offering deep visibility into the current environment and defining a clear, actionable migration plan. Learn more about how to simplify your migration.At Red Hat Consulting, we start by validating an organization's readiness to ensure we align on expectations, migration scope, and tangible business outcomes. Based on recent field experienc
The AMD EPYC 9755 128-core Zen 5 server processor has been benchmarked a lot at Phoronix since the EPYC 9005 "Turin" launch as their top-end Zen 5 server processor with "full fat" cores compared to the denser Zen 5C cores that extend up to the EPYC 9965 at 192 cores. For those eyeing the 128 core per socket sweet spot, there is also the EPYC 9745 that is made up of 128 Zen 5C cores that allows for a 400 Watt TDP compared to the 500 Watt EPYC 9755. Today's benchmarking is comparing the EPYC 9745 and EPYC 9755 performance and power difference.
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