AI
AI Recommendation Systems Get A GPU Makeover
Like their US-based counterparts, Google and Amazon, the Chinese Internet giants Baidu and Alibaba rely on GPU acceleration to drive critical parts of their AI-based services. …
GPU
Compute
Talking System Architecture With AMD CTO Mark Papermaster
It is funny to think that in a certain light, AMD has Big Blue to thank for its resurgence in the datacenter. …
Compute
The Four Workhorses Of The Data Apocalypse
The days when the X86 processor could do just about every kind of processing in the datacenter are gone. …
AI
Nvidia Shows Off Tech Chops With RC18 Inference Chip
It would be convenient for everyone – chip makers and those who are running machine learning workloads – if training and inference could be done on the same device. …
Compute
Accelerating AI With GPU Virtualization In The Cloud
In July, VMware acquired Bitfusion, a company whose technology virtualizes compute accelerators with the goal of enabling modern workloads like artificial intelligence and data analytics to take full advantage of systems with GPUs or with FPGAs. …
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. …
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. …
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
The Still Expanding Market For GPU Compute
At this point in the history of the IT business, it is a foregone conclusion that accelerated computing, perhaps in a more diverse manner than many of us anticipated, is the future both in the datacenter and at the edge. …