Intellectual hub of the topic
The new version of the model is trained to tackle tasks requiring deep analysis rather than just a quick fix, demonstrating impressive results when handling complex edge cases.
AI: Events
Infrastructure
A survey of IT executives reveals that in 2026, the focus of monitoring is shifting toward generative AI and the OpenTelemetry standard. We explore how these technologies simplify the analysis of complex systems and free engineers from the daily grind.
AMD has demonstrated technology for simulating robotic operations locally on a PC using its own GPUs – without relying on cloud servers or expensive computing farms.
AI: Events
Infrastructure
The Barcelona Zettascale Lab has completed validation of the Cinco Ranch TC1 processor. This is a crucial step toward building Europe's own infrastructure for training artificial intelligence models.
The UK's Forest Research agency is using Meta's computer vision model for forest monitoring. This allows the state to obtain precise data on green spaces without the enormous costs associated with satellite imagery and laser scanning.
Oracle is launching educational programs to train a workforce capable of designing, maintaining, and developing data center infrastructure tailored for artificial intelligence tasks.
AI: Events
Infrastructure
The new pairing of TorchFT and TorchTitan allows model training on AMD GPUs to continue even after cluster node failures – without a full process restart.
AI: Events
Infrastructure
Red Hat has presented its approach to creating telecommunications networks capable of self-healing and autonomous management using artificial intelligence and automation tools.
Red Hat has unveiled OpenShift 4.21 featuring expanded machine learning capabilities: from advanced compute queue management to dynamic GPU resource allocation.
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