{"id":258,"date":"2022-11-02T23:57:07","date_gmt":"2022-11-03T03:57:07","guid":{"rendered":"https:\/\/blog.siliconbrane.com\/?p=258"},"modified":"2022-11-03T00:05:23","modified_gmt":"2022-11-03T04:05:23","slug":"tesla-k80-m40-p100-gpu-on-a-hpe-gen-8-server","status":"publish","type":"post","link":"https:\/\/blog.siliconbrane.com\/index.php\/2022\/11\/02\/tesla-k80-m40-p100-gpu-on-a-hpe-gen-8-server\/","title":{"rendered":"Tesla K80\/M40\/P100 GPU on a HPE GEN 8 Server"},"content":{"rendered":"\n<p>I have been working on learning Deep learning for past few months. Its been a difficult journey working on the laptop for training any model. So I decided to get an older server from eBay. After doing a little research I picked a HP ML350p Gen 8 as my battleship for only $100. It came with basic config but it was definitely worth it. Along with this I also picked up a Tesla M40 24GB GPU some RAM sticks and a couple of CPU. All these came under $1000. I will list all the parts, in the server I build, at the end of this article. Lets see how to get this GPU to work on pretty much all HP GEN 8 servers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Step 1: Update the BIOS<\/h2>\n\n\n\n<p>First thing first, lets make sure that we have the most up too date BIOS firmware running on the server. Most current version for <a href=\"https:\/\/support.hpe.com\/connect\/s\/softwaredetails?softwareId=MTX_9374500e0cf24df7a0c8e14ba3&amp;language=en_US&amp;tab=releaseNotes\" target=\"_blank\" rel=\"noreferrer noopener\">P72 is v2019.05.24 released on 05\/24\/2019<\/a>. There are several YouTube video tutorials for BIOS update if you need help. I would suggest to use iLO 4 to update the BIOS its the most secure and safe way. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Step 2: Enable 64bit addressing for PCIe<\/h2>\n\n\n\n<p>Once the BIOS is updated lets enable the 64 bit addressing mode in the BIOS so all the 24GB of RAM on on the GPU can be addressed. <\/p>\n\n\n\n<p>While the server is booting press F9 to go into the BIOS.<\/p>\n\n\n\n<p>Once in the BIOS you need to enable a hidden menu in the BIOS. This can be done by pressing <strong>CTRL + A<\/strong>.<\/p>\n\n\n\n<p>As soon as you do this this you will see a hidden option called <strong>Service Option<\/strong>, refer the picture below.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"561\" height=\"688\" data-src=\"https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image.png\" alt=\"\" class=\"wp-image-269 lazyload\" data-srcset=\"https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image.png 561w, https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image-245x300.png 245w\" data-sizes=\"(max-width: 561px) 100vw, 561px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 561px; --smush-placeholder-aspect-ratio: 561\/688;\" \/><\/figure>\n\n\n\n<p>Select <strong>Service Option<\/strong> and press enter. You should see something like in the picture below. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"826\" height=\"489\" data-src=\"https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image-2.png\" alt=\"\" class=\"wp-image-273 lazyload\" data-srcset=\"https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image-2.png 826w, https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image-2-300x178.png 300w, https:\/\/blog.siliconbrane.com\/wp-content\/uploads\/2022\/11\/image-2-768x455.png 768w\" data-sizes=\"(max-width: 826px) 100vw, 826px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 826px; --smush-placeholder-aspect-ratio: 826\/489;\" \/><\/figure>\n\n\n\n<p><strong>I would suggest not to mess with any of this options unless you know what you are doing.<\/strong><\/p>\n\n\n\n<p>Any ways the only option we are interested in is <strong>PCI Express 64-bit BAR Support<\/strong> select it and press enter to enable this option.<\/p>\n\n\n\n<p>Save the settings by pressing F10 and exit the BIOS. Your Server is now ready for Tesla GPU. I am using a Tesla M40 for my setup but I have Tested this with K80 and P100.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Step 3: Connect your GPU to the Server<\/h2>\n\n\n\n<p>If you haven&#8217;t already done this, its time to connect the GPU to the server. While doing this be very careful about the power connectors and the cables. Tesla GPU has a different pin-out than the commercial GPUs like GTX or RTX line. Connecting the GPU power incorrectly may not damage the GPU but will damage the server&#8217;s PEIe slot. Remember to use the Black GPU power ports if you are using a ML350p server. There are several cables available on eBay or on Amazon you just need to find the right one.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">My ML Server Build<\/h3>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<p>2 x Xeon E5-2697 v2 ($120 for both)<\/p>\n\n\n\n<p>24 x 16GB RAM Sticks (I paid $100 for 26 sticks of 16GB DDR3 ECC Sticks)<\/p>\n\n\n\n<p>2 x Tesla M40 24GB ($170 each)<\/p>\n\n\n\n<p>2 x 1200W PSU ($20 each)<\/p>\n\n\n\n<p>4 x 1TB Samsung EVO SSD (Bought new from Amazon)<\/p>\n\n\n\n<p> <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>I have been working on learning Deep learning for past few months. Its been a difficult journey working on the laptop for training any model. So I decided to get an older server from eBay. After doing a little research I picked a HP ML350p Gen 8 as my battleship for only $100. It came&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-258","post","type-post","status-publish","format-standard","hentry","category-siliconbranenews"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tesla K80\/M40\/P100 GPU on a HPE GEN 8 Server - SiliconBrane Inc<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.siliconbrane.com\/index.php\/2022\/11\/02\/tesla-k80-m40-p100-gpu-on-a-hpe-gen-8-server\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tesla K80\/M40\/P100 GPU on a HPE GEN 8 Server - SiliconBrane Inc\" \/>\n<meta property=\"og:description\" content=\"I have been working on learning Deep learning for past few months. 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