{"id":24933,"date":"2021-06-20T06:19:05","date_gmt":"2021-06-20T06:19:05","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/google-announces-epyc-based-tau-virtual-machines-for-cloud.html"},"modified":"2021-06-20T06:19:05","modified_gmt":"2021-06-20T06:19:05","slug":"google-announces-epyc-based-tau-virtual-machines-for-cloud","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/google-announces-epyc-based-tau-virtual-machines-for-cloud.html","title":{"rendered":"Google announces EPYC-based Tau virtual machines for Cloud"},"content":{"rendered":"

Google this morning announced the launch of Tau, a new family of virtual machines built on AMD\u2019s third-gen EPYC processor. According to the company, the new x86-compatible system offers a 42% price-performance boost over standard VMs. Google notably first started utilizing AMD EPYC processors for Cloud back in 2017<\/a>, while Amazon Cloud\u2019s offerings date back to 2018.<\/a><\/p>\n

Google claims the Tau family \u201cleapfrogs\u201d existing cloud VMs. The systems come in a variety of configurations, ranging up to 60vCPUs per VM, and 4GB of memory per vCPU. Networking bandwidth goes up to 32 Gbps, and they can be coupled with a variety of different network attached storage.<\/p>\n

\u201cCustomers across every industry are dealing with more demanding and data-intensive workloads and looking for strategic ways to speed up performance and reduce costs,\u201d Google Cloud CEO Thomas Kurian said in a press release. \u00a0\u201cOur work with key strategic partners like AMD has allowed us to broaden our offerings and deliver customers the best price performance for compute-heavy, business-critical applications\u2013 all on the cleanest cloud<\/span> in the industry.\u201d<\/p>\n

\n

Image Credits:<\/strong> Google<\/p>\n

Google has already signed up some high-profile customers for an early trial, including Twitter, Snap and DoIT.<\/p>\n

\u201cHigh performance at the right price point is a critical consideration as we work to serve the global public conversation,\u201d Twitter Platform Lead Nick Tornow said in a blog post<\/a>. \u201cWe are excited by initial tests that show potential for double digit performance improvement. We are collaborating with Google Cloud to more deeply evaluate benefits on price and performance for specific compute workloads that we can realize through use of the new Tau VM family.\u201d<\/p>\n

\n

Image Credits:<\/strong> Google<\/p>\n

The Tau VMs will be arriving for Google Cloud in Q3 of this year. The company has already opened the system up to clients for pre-registration. Pricing is dependent on the configuration. For example, a 32vCPU VM sporting 128GB RAM will run around $1.35 an hour.<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/f5K_f_naNow\/<\/p>","protected":false},"excerpt":{"rendered":"

Google this morning announced the launch of Tau, a new family of virtual machines built on AMD\u2019s third-gen EPYC processor. According to the company, the new x86-compatible system offers a <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-24933","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t