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    <title>topic Re: Understanding compute requirements for Deploying Deepseek-R1-Distilled-Llama Models on databrick in Generative AI</title>
    <link>https://community.databricks.com/t5/generative-ai/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109369#M759</link>
    <description>&lt;P&gt;Its Resolved&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956" target="_blank"&gt;https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 07 Feb 2025 09:27:38 GMT</pubDate>
    <dc:creator>kbmv</dc:creator>
    <dc:date>2025-02-07T09:27:38Z</dc:date>
    <item>
      <title>Understanding compute requirements for Deploying Deepseek-R1-Distilled-Llama Models on databricks</title>
      <link>https://community.databricks.com/t5/generative-ai/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109208#M756</link>
      <description>&lt;P&gt;Hi I came across the blog&amp;nbsp;Deploying Deepseek-R1-Distilled-Llama Models on Databricks at&amp;nbsp;&lt;A href="https://www.databricks.com/blog/deepseek-r1-databricks" target="_blank" rel="nofollow noopener noreferrer"&gt;https://www.databricks.com/blog/deepseek-r1-databricks&lt;/A&gt;&lt;/P&gt;&lt;P&gt;I am new to using custom models that are not available as part of foundation models.&lt;/P&gt;&lt;P&gt;According to the blog, I need to download a Deepseek distilled model from huggingface to my volume. Register it on my MLFlow and serve as Provisioned throughput. Can someone help me with following questions.&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;&lt;P&gt;If I want to download the 70B model, the recommended compute is&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;g6e.4xlarge&lt;/STRONG&gt;, which has&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;128GB CPU memory&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;48GB GPU memory&lt;/STRONG&gt;. To clarify, do I need this specific compute only for&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;MLflow registration&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;of the model?&lt;/P&gt;&lt;P&gt;Additionally, the blog states:&lt;BR /&gt;&lt;EM&gt;"You don’t need GPUs per se to deploy the model within the notebook, as long as the compute has sufficient memory capacity."&lt;/EM&gt;&lt;/P&gt;&lt;P&gt;Does this refer to&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;serving&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;the model only? Or can I complete both MLFlow registration and deployment as serving using a compute instance with&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;128GB CPU memory and no GPU&lt;/STRONG&gt;?&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;For provisioned throughput of the model, when I select my registered model for serving. What will be my pricing on usage per hour? Will deepseek-r1-distilled-llama-70b pricing be same as llama 3.3 70B, and&amp;nbsp;deepseek-r1-distilled-llama-8b be same as llama 3.1B as mentioned in following link or the pricing will be different?&amp;nbsp;&lt;A href="https://www.databricks.com/product/pricing/foundation-model-serving" target="_blank" rel="nofollow noopener noreferrer"&gt;https://www.databricks.com/product/pricing/foundation-model-serving&lt;/A&gt;&lt;/LI&gt;&lt;LI&gt;For custom rag chains or agent models, I have seen option to select Compute type as CPU, GPU small etc. Will it be such a case for my distilled model or as per point 2, if so what would be the recommendation for 70b and 8b variations. Attaching a screenshot .&lt;BR /&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="kbmv_0-1738850768911.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/14664iE92FF16EAC68EFE5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="kbmv_0-1738850768911.png" alt="kbmv_0-1738850768911.png" /&gt;&lt;/span&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;BR /&gt;&lt;BR /&gt;Posted on wrong board wasn't able to move or delete so recreated same question here.&lt;/P&gt;&lt;/LI&gt;&lt;/OL&gt;</description>
      <pubDate>Thu, 06 Feb 2025 14:07:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/generative-ai/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109208#M756</guid>
      <dc:creator>kbmv</dc:creator>
      <dc:date>2025-02-06T14:07:52Z</dc:date>
    </item>
    <item>
      <title>Re: Understanding compute requirements for Deploying Deepseek-R1-Distilled-Llama Models on databrick</title>
      <link>https://community.databricks.com/t5/generative-ai/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109369#M759</link>
      <description>&lt;P&gt;Its Resolved&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956" target="_blank"&gt;https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 07 Feb 2025 09:27:38 GMT</pubDate>
      <guid>https://community.databricks.com/t5/generative-ai/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109369#M759</guid>
      <dc:creator>kbmv</dc:creator>
      <dc:date>2025-02-07T09:27:38Z</dc:date>
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