Industrial Internet of Things #IIoT Simplified https://
labs.sogeti.com/industrial-int
ernet-of-things-iiot-simplified/
… #CES2023 #AI #IoT #5G #DigitalTransformation #FutureOfWork #Cloud #Video #AR #VR #SmartCities #SDGs #Web3 #Robotics #MWC23 #Tech
COMPUTING
-
Industrial Internet of Things IIoT Simplified
By
–
-
Submit Your Questions for Our AI Conference Speakers
By
–
Drop any questions that you may have for speakers here
-
Do Software Developers Use AI Tools for Coding?
By
–
Quick Poll As a software developer do you use AI tools to write code?
-
GroqChip runs 4x faster than Nvidia V100 on CFD
By
–
See how GroqChip™ runs 4x faster than Nvidia V100 GPU on a computational fluid dynamics application in this @MaxelerTech demo from #SC22. Learn how converged HPC may offer a faster time-to-solution and compute efficiency without sacrificing accuracy. https://
youtu.be/KDP7tx9QYT0 -
Anticipation for Large Model with Cost and Speed Concerns
By
–
Yep, it's gonna be huge. Hope the model isn't so big that the processing isn't too cost-prohibitive or slow
-
Essential Skills for Learning: Programming, Tensors, Math Basics
By
–
solid programming, familiarity (/willingness to learn) tensor processing (numpy or torch tensor), small few concepts from basic math and statistics (e.g. function gradient, gaussian distribution, etc.). I'll list this out on the page, ty.
-
XR and 5G Transform Work Learning Experience Healthcare Manufacturing
By
–
How #XR & #5G Transforms #work #learning & #experience
Examples in #Health & #education + #Manufacturing #sports #gaming & #DigitalTwins http://
bit.ly/3ZsT29M #tech @ATTBusiness #innovation #ATTInfluencer #AI #DataAnalytics @Paula_Piccard #data @ipfconline1 #VRChat #CX -
Industry 4.0: The Evolution of Maintenance Strategy
By
–
Industry 4.0 – The evolution of Maintenance Strategy
Check out https://
bit.ly/3GO1IQz
By @ingliguori #DigitalTransformation #Cloud #BigData #Industry40 #cybersecurity #Blockchain #DX #Analytics #AI #IIoT #DataScience #IoT #IoTPL #SmartManufactory #RPA #Robotics #MLOps -
Regret over NVLink choice versus conventional PCI A100 setup
By
–
In hindsight, I would have been much better off with a more conventional system with PCI A100 cards — I still haven’t done anything dramatic with the extra NVLink bandwidth, and it could have had twice the GPUs.
-
GPT-2 Pre-training: Hardware Requirements and Token Processing Estimates
By
–
Rough example, a decent GPT-2 (124M) pre-training reproduction would be 1 node of 8x A100 40GB for 32 hours, processing 8 GPU * 16 batch size * 1024 block size * 500K iters = ~65B tokens. I suspect this wall clock can still be improved ~2-3X+ without getting too exotic.