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 ...
DigitalOcean Holdings Inc., the cloud infrastructure platform provider for small developer teams, said its latest artificial intelligence compute services powered by Nvidia Corp.’s H100 graphics ...
Microsoft Launches Azure Confidential VMs with NVIDIA Tensor Core GPUs for Enhanced Secure Workloads
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
From compact ‘desktops’ to purpose-built blades, welcome to a new wave of dedicated 1:1 datacentre-ready workstations ...
Google Cloud is beefing up its cloud-based artificial intelligence computing infrastructure, adding new tensor processing unit and graphics processing unit-based virtual machines it says are optimized ...
Growth in usage of personal devices, such as smartphones or tablets, has caused many to rethink how they deliver IT applications and services to the public. The same goes for the healthcare market ...
Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models. Chip manufacturers are producing a steady stream of new GPUs.
Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...
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