HPC
SDSC Doubles Up Performance With Expanse Supercomputer
The San Diego Supercomputing Center is overdue for a new supercomputer and thanks to a $10 million grant from the National Science Foundation, next year it will finally get one. …
Nvidia
Compute
Nvidia Readies For Battle In The Datacenter In 2020
If you were expecting Nvidia to start talking about its future “Ampere” or “Einstein” GPUs for Tesla accelerated computing soon just because AMD is getting ready to roll out “Navi” GPUs next year and Intel is working on its Xe GPU cards for delivery next year, too, you are going to have to wait a bit longer. …
AI
Nvidia Elevates The Conversation For Natural Language Processing
As artificial neural networks for natural language processing (NLP) continue to improve, it is becoming easier and easier to chat with our computers. …
Store
Nvidia GPU Accelerators Get A Direct Pipe To Big Data
Nvidia has unveiled GPUDirect Storage, a new capability that enables its GPUs to talk directly with NVM-Express storage. …
Cloud
Sometimes, AI Hardware Economics Argue For Colocation
Nvidia’s DGX platforms are powerhouses for training neural networks, offering up to 2 petaflops of peak machine learning performance. …
AI
New Twists In The Intertwining Of HPC And AI
The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate prediction and genomics to particle physics and drug discovery. …
HPC
Inside Nvidia’s DGX SuperPOD Cluster
GPU chip maker Nvidia doesn’t just make the devices that end up in some of the largest supercomputers in the world. …
HPC
Doing The Math: The Reality Of HPC And AI Convergence
Throughout the many different types of system architecture in the past six decades, one thing has always remained true: Hardware always gets ahead of software, and rather than be too annoyed about it, there is another thing that is also true. …
HPC
Nvidia Makes Arm A Peer To X86 And Power For GPU Acceleration
Creating the Tesla GPU compute platform has taken Nvidia the better part of a decade and a half, and it has culminated in a software stack comprised of various HPC and AI frameworks, the CUDA parallel programming environment, compilers from Nvidia’s PGI division and their OpenACC extensions as well as open source GCC compilers, and various other tools that together account for tens of millions of lines of code and tens of thousands of individual APIs. …
AI
Where Does Nvidia Go In The Datacenter From Here?
We have to admit that it is often a lot more fun watching an upstart carve out whole new slices of business, or create them out of what appears to be thin air, in the datacenter than it is to watch how it will respond to intense competitive pressures and somehow manage to keep growing despite that. …