GPULab jl3-v2.1.x
The new GPULab release version jl3-v2.1.x environment consists of JupyterLab 3, installed atop an Ubuntu Linux operating system with Nvidia CUDA GPU drivers with Python 3, Xeus Python, R, Julia, Octave and Bash kernels.
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Floydhub is Shutting Down
Last week, like many of you, we learned that our friends over at FloydHub are shutting down their operations.
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Individual and Team Collaboration
The GPULab approach to collaboration in data science is simple and straightforward. GPULab offers JupyterNotebooks (managed by JupyterLab,) and the Git application atop a standard Linux filesystem for managing source code.
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No Lock-in, Standards Based Data Science Toolchain
Open Source technology and its massive developer community have advanced Machine Learning and Deep Learning capabilities farther in the last few years than many decades past.
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Built-in Everything, Zero Configuration Environment
GPULab provides fully configured JupyterLab environments built to work seamlessly with their attached NVIDIA GPUs and CUDA APIs.
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GPULab jl3-v2.1.x
The new GPULab release version jl3-v2.1.x environment consists of JupyterLab 3, installed atop an Ubuntu Linux operating system with Nvidia CUDA GPU drivers with Python 3, Xeus Python, R, Julia, Octave and Bash kernels.
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Platform Security and Data Privacy
Security starts at GPULab’s private cloud facilities. GPULab owns and operates its hardware infrastructure in secure Data Center facilities located in Los Angeles and Pasadena, California; Las Vegas, Nevada; Denver, Colorado; and Herndon, Virginia.
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