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. …
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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. …
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. …
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. …
Compute
Prying Open The Lid On Intel’s Multichip Cascade Lake-AP
Imagine for a second that you are Intel.
The few server CPU makers that remain in the market – AMD, IBM, Marvell, and Ampere – have more memory controllers on their sockets than you do. …
AI
How Facebook Might Find Nervana For Machine Learning Training
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
Compute
On The Hot Seat In The Hyperscale Datacenter
As one of the dominant hyperscalers in the world, Microsoft is out there on the cutting edge, driving efficiencies on every front it can in server, storage, switching, software, and datacenter design. …
AI
NOAA Faces Winds of Architectural Change
When it comes to making swift pivots to keep pace with the newest architectural innovations, organizations like weather and climate prediction-focused NOAA have major constraints. …
AI
The Art Of Tailoring The System For An AI Application
The diverse set of applications and algorithms that make up AI in its many guises has created a need for an equally diverse set of hardware to run it. …
AI
A Reality Check on the Future of GANs
Generative adversarial neural networks are the next step in deep learning evolution and while they hold great promise across several application domains, there are major challenges in both hardware and frameworks. …