R&D Blog
Tygron and Artificial Intelligence
by Maxim Knepfle, CTO Tygron Artificial Intelligence (AI) is hot, and it seems that everyone needs to implement some sort of AI. But what does AI entail, what is the
Feeding the Beast
by Maxim Knepfle, CTO Tygron At the NVIDIA GTC Conference I visited several presentations that touched on a very interesting subject: The need to see the GPU as a throughput
Tygron Supercomputer hits new record: 10.000.000.000!
by Maxim Knepfle, CTO Tygron Not so long a ago I wrote a blog about the one billion grid cells that we can compute. Today after some major upgrades to
Flash floods in River Catchments
Two weeks ago heavy rainfall resulted in floodings in south/east of the Netherlands. Although the main river Maas did have some issues, most unexpected floodings where caused along secondary rivers
Quick Flood Risk Assessment
Last month I discussed how the Tygron GPU Supercomputer can be used for a hyper-resolution flooding at maximum detail. However, in case of an acute emergency, calculation speed and the
Hyper-resolution Flooding of the Bommelerwaard
Last year Tygron breached the 1 billion grid cells threshold. Today we are using this Massively parallel GPU technology (100.000 execution tasks in parallel) for more use-cases and refining it
River Deltas at High Resolution
In a previous blog entry we showed that it was possible to calculate a 60x60km map at very high resolution (1m). This is especially useful for small canals and surface
NVIDIA A100: What can it do for Tygron?
Today was NVIDIA’s “Kitchen keynote” for the GTC 2020. CEO Jensen Huang showed the latest development in AI, High Performance Computing and a new GPU Accelerator called the A100. Flooding
Beyond a billion grid cells
This is the first Tygron R&D blog entry. With this new blog I will try to explain the more technical challenges inside the Tygron Platform’s Supercomputer. Most of the Tygron
