VDURA Shows Off AI Data Functionality in AMD Blueprint
VDURA has released an AMD reference architecture that works with its parallel file system and storage for HPC/AI workloads
Read the full articleYou might also wanna read
Developing a BLAS Library for the AMD AI Engine [pdf]
Article URL: Comments URL: Points: 8 # Comments: 0
uni.tlaan.nl·6mo ago

VAST Data: The Key to Making AI Infrastructure Work in the Exabyte Age
With AI demands skyrocketing, VAST Data's focus on cache storage could be the linchpin for scalable and cost-effective AI infrastructure. Ar
machinebrief.com·57m ago

Modular: What about the MLIR compiler infrastructure? (Democratizing AI Compute, Part 8)
What about the MLIR compiler infrastructure? (Democratizing AI Compute, Part 8)
modular.com·1y ago

Modular: What about TVM, XLA, and AI compilers? (Democratizing AI Compute, Part 6)
What about TVM, XLA, and AI compilers? (Democratizing AI Compute, Part 6)
modular.com·1y ago
Understanding VRAM Requirements for Local AI Coding
Learn how GPU memory determines which AI models you can run locally, and how to select the right model for your hardware constraints.
zenvanriel.com
Intel and AMD release ACE CPU extensions specification for efficient AI processing on x86 processors
Running AI models on x86 CPUs is becoming easier and faster

Comments
Sign in to join the conversation.
No comments yet. Be the first.