{"id":4499,"date":"2025-06-11T07:02:28","date_gmt":"2025-06-11T07:02:28","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/06\/11\/10000x-faster-bayesian-inference-multi-gpu-svi-vs-traditional-mcmc\/"},"modified":"2025-06-11T07:02:28","modified_gmt":"2025-06-11T07:02:28","slug":"10000x-faster-bayesian-inference-multi-gpu-svi-vs-traditional-mcmc","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/06\/11\/10000x-faster-bayesian-inference-multi-gpu-svi-vs-traditional-mcmc\/","title":{"rendered":"10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC"},"content":{"rendered":"<p>    10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Using GPU acceleration to speed up Bayesian Inference from months to minutes&#8230; <\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/10000x-faster-bayesian-inference-multi-gpu-svi-vs-traditional-mcmc\/\">10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Derek Tran<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/10000x-faster-bayesian-inference-multi-gpu-svi-vs-traditional-mcmc\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC Using GPU acceleration to speed up Bayesian Inference from months to minutes&#8230; The post 10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC appeared first on Towards Data Science. Derek Tran Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,2914,83,67,70,2877,157,238],"tags":[557,1850,193],"class_list":["post-4499","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-bayesian","category-data-science","category-deep-dives","category-machine-learning","category-monte-carlo","category-python","category-statistics","tag-bayesian","tag-gpu","tag-inference"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4499"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=4499"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4499\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=4499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=4499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=4499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}