They have a tutorial at: jena.apache.org/tutorials/sparql.html
Once you've done the Apache Jena CLI tools setup we can query all users with Full Name (FN) "John Smith" directly fom the rdf/vcard.ttl Turtle RDF file with the rdf/vcard.rq SPARQL query:and that outputs:
sparql --data=rdf/vcard.ttl --query=rdf/vcard.rq---------------------------------
| x |
=================================
| <http://somewhere/JohnSmith/> |
---------------------------------Mentioned at: aws.amazon.com/ec2/instance-types/g4/
TODO meaning of "nd"? "n" presumably means Nvidia, but what is the "d"? Compare it g4ad.xlarge which has AMD GPUs. aws.amazon.com/ec2/instance-types/g4/ mentions:
Term invented by Ciro Santilli, it refers to Richard Feynman, after helping to build the atomic bomb:
Does not seem to support it unfortunately:
- 2015 thread: pybullet.org/Bullet/phpBB3/viewtopic.php?t=10783. On the reply pybullet.org/Bullet/phpBB3/viewtopic.php?p=36197&sid=5fbceed0c3a5ebcf233d328bb4ee1342#p36197 Erwin Coumans says there's no support, and no support planned.
Became very popular as of result of people using Bullet Physics for reinforcement learning AI training robot simulations.
Source code: somewhere inside the main Bullet Physics source tree. Yay.
Official page: www.nvidia.com/en-gb/data-center/tesla-t4/
According to wccftech.com/nvidia-drops-tesla-brand-to-avoid-confusion-with-tesla/ this was the first card that semi-dropped the "Nvidia Tesla" branding, though it is still visible in several places.
According to www.baseten.co/blog/nvidia-a10-vs-a10g-for-ml-model-inference/ the Nvidia A10G is a variant of the Nvidia A10 created specifically for AWS. As such there isn't much information publicly available about it.
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