AI Institute

Get started with Tesla V100, the world’s first GPU to break the 100 teraFLOPS barrier. Stay tuned for more as we prepare to unleash DGX-2, the world’s most powerful AI system.

 

Support: 

Ritvik Rawat (rirawatatcs.stonybrook.edu)

Pavani Tripathi (patripathiatcs.stonybrook.edu)

Office hours:

Tuesdays and Thursdays: 2:00 pm - 3:30 pm

Wednesdays: 3:00 pm - 6:00 pm

Place: 

Data Science Lab

 

Computing Resources:

1. Aiorion - 4 x 32 GB GPU Tesla V100 (Tesla V100/NVLINK) - 1.5 TB RAM
This server offers 4 Tesla V100 GPUs connected via NVLINK. The machine boasts a huge RAM size, which makes it as useful for conventional machine learning as it is for deep learning. The 72 CPU cores provide a strong parallel pool for MATLAB or other numerically extensive computation.

2. Zeblock Cluster - The cluster is currently in beta version so stay tuned for updates.
Zeblock cluster is GPU based high performance computing cluster that will soon consist of 192 GPUs. The backbone of this cluster consists of 24 servers that offer 180 GB RAM along with 8 Quadro RTX GPUs, each with a capacity of 24 GB. A notebook environment available at the click of a button means that no time is spent on reading the manuals or setting up the environment. Training models was never simpler. A kubernetes based platform gives every user individual space and allows them to create their own customised workspace. In order to harness the power of the cluster for non python use cases, Matlab/C++ support will enable high performance computing.

3. Research Labs
Dedicated labs maintained by professors working on specific fields of artificial intelligence and machine learning. Access to these labs is first approved by the professors and subsequently granted by the sysadmin of the respective labs.

Specialized research labs include:

Computer Vision Lab (sysadmin: zekzhangatcs.stonybrook.edu (Zekun Zhang) and zhibyangatcs.stonybrook.edu (Zhibo Yang))
● Bigretina: 70 GB GPU/192 GB RAM
● Bigpupil: 44 GB GPU/128 GB RAM
● Bignet: 48 GB GPU/128 GB RAM
● Bigmind: 44 GB GPU/128 GB RAM
● Biglens: 44 GB GPU/128 GB RAM
● Bigiris: 44 GB GPU/128 GB RAM
● Bigfovea: 36 GB GPU/128 GB RAM
● Bigeye: 128 GB RAM
● Bigcortex: 48 GB GPU/128 GB RAM
● Bigbrain: 33 GB GPU/66 GB RAM
● Bigbox: 40 GB GPU/128 GB RAM
● Bigbang: 24 GB GPU/193 GB RAM

NLP Lab (sysadmin: junkangatcs.stonybrook.edu (Jun S Kang))
● Ambiguity: 65 GB RAM
● Context: 48 GB GPU/115 GB RAM
● Context2: 16 GB GPU/32 GB RAM

Data Science Lab (sysadmin: ssyedfahadatcs.stonybrook.edu (Fahad Sultan))
● 48 GB GPU

HLAB (sysadmin: ysonatcs.stonybrook.edu (Youngseo Son))
● 36 GB GPU

Preview of the NSF MRI equipment: https://nsf.gov/awardsearch/showAward?AWD_ID=1919752&HistoricalAwards=false

Support: rirawatatcs.stonybrook.edu (Ritvik Rawat) and patripathiatcs.stonybrook.edu (Pavani Tripathi)

Office hours: Tuesdays and Thursdays: 2:00 pm - 3:30 pm, Wednesdays: 3:00 pm - 6:00 pm

Place: Data Science Lab