RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab With Demo
At Google I/O’24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly accelerate pandas code up to 50x on Google Colab GPU instances, and continue using pandas as data grows-without sacrificing performance.
RAPIDS cuDF is a GPU DataFrame library that accelerates the data processing tool pandas with zero code changes. Google Colab is one of the most popular platforms for Python-based data science that has become a standard tool with more than 10 million monthly users.
A cloud-hosted platform, Colab provides an out-of-the-box data science notebook environment that’s accessible from your browser. Its easy-to-use infrastructure includes GPUs across free and paid tiers.
Check the links nvda.ws/4bzUJHF
New Colab link: nvda.ws/3UY30zK
Code Link: colab.research.google.com/git...
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How to use llama3 model in production, In local we have downloaded llama3 8b model. In live how to deploy the model. Please teach me bro❤
Even though the core logic of the code might not change, certain practices need to be adjusted. Since cuDF (part of the RAPIDS library) doesn't fully support traditional iterative operations, you'll need to write code that utilizes the parallel processing power of GPUs to execute efficiently. Therefore, not all code will remain exactly the same.
Thank your sir for always uploading new things
Oh wow
Yeah it's time to use pandas like fast and furious 😅
okay so now we don't have to use DASK.
Good day
🙌🙌🙌🙌
Good day greetings
How to use llama3 model in production, In local we have downloaded llama3 8b model. In live how to deploy the model. Please teach me bro❤
Hy sir, I have a query. Since we have plenty of tools which help us automate and simplify most of our tasks. Is it okay if we use such tools for writing codes if we provide them with the right prompt? Is this a good practice or shall we write code by our own especially if we are a data science student/professional.
NVIDIA is past tense. The new technology out there is wafer-scale integration… Semiconductor chips are made from wafers. You cut out a wafer and multiple chips come out. The best company right now is making a wafer scale chip for doing AI computation.
@krish I am a front end developer with 3 years experience I want to switch into Data science. What is the average salary I can get?
Can you plz help me how to download KZread and Instagram video, extract, transcribe, and format video content convert into structured dataset using hugging face API.
Is your telegram channel hacked?
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