Update

README.md

@@ -18,8 +18,10 @@ Access using the secure shell:
 CPUs: 2x Intel(R) Xeon(R) CPU E5-2680 @ 2.70GHz
 
 GPUs:
-* 2x [GTX Titan 6GB GDDR5](https://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan/specifications)
-* 2x [GTX 1080Ti 11 GB GDDR5X](https://www.nvidia.com/en-us/geforce/products/10series/geforce-gtx-1080-ti/)
+* 1x [Titan RTX 24GB GDDR6](https://www.nvidia.com/en-us/deep-learning-ai/products/titan-rtx/)
+* 2x [GTX 1080Ti 11GB GDDR5X](https://www.nvidia.com/en-us/geforce/products/10series/geforce-gtx-1080-ti/)
+
+* GPUs moved to lut8100.pc.lut.fi: 2x [GTX Titan 6GB GDDR5](https://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan/specifications)
 
 To check the current GPU load and available resources use:
 ```
@@ -40,10 +42,11 @@ or in python
 import os
 os.environ["CUDA_VISIBLE_DEVICES"]="1"
 ```
-Some frameworks (e.g. TensorFlow) are greedy and they allocate resources on all the
-available devices while utilizing only one of them effectively. By explicitly
-specifying which GPU device you need you do not block other users from using
-the server.   
+
+Some frameworks (e.g. TensorFlow) are greedy and they allocate resources on all
+the available devices while utilizing only one of them effectively. By
+explicitly specifying which GPU device you need you do not block other users
+from using the server.   
 
 ## Local storage and data transfer
 
@@ -77,33 +80,32 @@ We are trying to keep the server clean and to avoid version conflicts. Thus,
 docker is a preferred general way of handling dependencies (see docker section).
 Python users may also consider using virtualenv (see Python section).
 
-
-
 ### Docker
 
 From wiki:
-> Docker is a computer program that performs operating-system-level virtualization, 
-> also known as "containerization". It was first released in 2013 and is developed by 
-> Docker, Inc.
+> Docker is a computer program that performs operating-system-level
+> virtualization, also known as "containerization". It was first released in
+> 2013 and is developed by Docker, Inc.
 >
-> Docker is used to run software packages called "containers". Containers are 
-> isolated from each other and bundle their own application, tools, libraries and 
-> configuration files; they can communicate with each other through well-defined 
-> channels. All containers are run by a single operating system kernel and are thus
-> more lightweight than virtual machines. Containers are created from "images" that
-> specify their precise contents. Images are often created by combining and modifying 
-> standard images downloaded from public repositories. 
+> Docker is used to run software packages called "containers". Containers are
+> isolated from each other and bundle their own application, tools, libraries
+> and configuration files; they can communicate with each other through
+> well-defined channels. All containers are run by a single operating system
+> kernel and are thus more lightweight than virtual machines. Containers are
+> created from "images" that specify their precise contents. Images are often
+> created by combining and modifying standard images downloaded from public
+> repositories. 
 
 General instructions on how to use docker can be found: https://docker-curriculum.com/
 
 There are plenty of docker images available, e.g.:
 * [Anaconda](https://medium.com/@patrickmichelberger/getting-started-with-anaconda-docker-b50a2c482139) 
 * [PyTorch](https://hub.docker.com/r/pytorch/pytorch/)
-* [CNTK](https://docs.microsoft.com/en-us/cognitive-toolkit/CNTK-Docker-Containers)
 * [Caffe](https://github.com/BVLC/caffe/tree/master/docker)
 * [Caffe2](https://caffe2.ai/docs/docker-setup.html)
-* Might be dead [Theano](https://hub.docker.com/r/kaixhin/cuda-theano/)
+* [CNTK](https://docs.microsoft.com/en-us/cognitive-toolkit/CNTK-Docker-Containers)
 * [TensorFlow](https://www.tensorflow.org/install/docker)
+* Might be dead [Theano](https://hub.docker.com/r/kaixhin/cuda-theano/)
 
 More detailed instructions about basic docker usage with examples: https://git.it.lut.fi/mvpr-common/docker-examples
 
@@ -117,7 +119,6 @@ be found by the given links.
 
 TBD.
 
-
 # Additional questions and support
 
 Contact: azat.garifullin@lut.fi