Databricks, corporate provider of support and development for the Apache Spark in-memory big data project, has spiced up its cloud-based implementation of Apache Spark with two additions that top IT’s ...

SE: There seems to be a parallel growth between the adoption of machine learning and GPUs. Is the need for machine learning driving GPU adoption, or are GPUs creating the opportunity to embrace ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

Presenting you with a multi-tasking, all-in-one GPU, NVIDIA RTX 3090. So starting from Tensor cores to some awesome features like real-time ray facing, this GPU has it all. Solving research and data ...

Discrete Device Assignment links physical GPUs directly to Hyper-V VMs, enabling AI acceleration without RemoteFX. The chip targets real-world bottlenecks, not just raw compute. Microsoft emphasizes ...

Vultr, a privately-held cloud computing company, and Domino Data Lab, provider of an Enterprise MLOps platform, announced the integration of Domino Nexus with Vultr’s Kubernetes Engine to help ...

The global GPU server market size was estimated at USD 174.3 billion in 2025 and is projected to reach USD 1,545.2 billion by ...

Intel is reportedly preparing a specialized Nova Lake processor aimed at edge AI and local inference workloads, according to information shared by leaker @GoldenPigUpgradePack.

The processor of current PCs is usually powerful enough to work smoothly with all types of content. However, some processes put a higher load on the processor — for example, when you watch videos.