Anaconda Desktop - Beta

it shows me this message when I try t launch Jupyter Notebook, previously set to launch on Brave, but it never really launches.

The main channel includes the jupyter-lsp package, but it is missing the complementary jupyterlab-lsp package that actually makes use of it. By adding this missing package to the main channel, it becomes much simpler to use Language Server Protocol functionality (such as type checking) when Jupyter Lab is run in a separate environment (e.g. base) from the IPython kernel.

Add support to connect to local inference devices like the DGX Spark, Mac Mini, Dell, etc to enable remote inference on machines build for inference without need complex networking or kubernetes skills. Ideally a user could install desktop to so version of a desktop server on the remote compute and them manage their models from the personal workstation while running those models remotely. "Desktop Super" computers is a relatively new segment but will be appealing for industries that cant afford to build and support a server rack / on prem data center and need to keep data within their network. Small to med sized medical facilities and law firms might be some good examples. 4x mac studios or DGX sparks are less expensive than 1x h100 and should be nough compute to run the latest generation of models (400-500B parameters) at a q_4 quantizations