{"id":12387,"date":"2025-10-06T13:48:06","date_gmt":"2025-10-06T17:48:06","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/minervalab\/?page_id=12387"},"modified":"2026-01-15T09:59:35","modified_gmt":"2026-01-15T14:59:35","slug":"documentation-new-york-states-empire-ai","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/minervalab\/documentation-new-york-states-empire-ai\/","title":{"rendered":"New York State&#8217;s Empire AI"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Breadcrumb&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; z_index_tablet=&#8221;0&#8243; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/scientific-computing-and-data\/\">Scientific Computing and Data<\/a>\u00a0\/\u00a0<a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/\">High Performance Computing<\/a> \/ <a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/documentation\/\">Documentation<\/a> \/ New York State\u2019s Empire AI<\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; z_index_tablet=&#8221;0&#8243; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; 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background_mask_color=&#8221;#ffffff&#8221; text_text_shadow_horizontal_length=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_vertical_length=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_blur_strength=&#8221;text_text_shadow_style,%91object Object%93&#8243; link_text_shadow_horizontal_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_vertical_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_blur_strength=&#8221;link_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_horizontal_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_vertical_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_blur_strength=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_horizontal_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_vertical_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_blur_strength=&#8221;ol_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_horizontal_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_vertical_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_blur_strength=&#8221;quote_text_shadow_style,%91object Object%93&#8243; header_text_shadow_horizontal_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_vertical_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_blur_strength=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_horizontal_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_vertical_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_blur_strength=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_horizontal_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_vertical_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_blur_strength=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_horizontal_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_vertical_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_blur_strength=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_horizontal_length=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_vertical_length=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_blur_strength=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_horizontal_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_vertical_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_blur_strength=&#8221;header_6_text_shadow_style,%91object Object%93&#8243;]<\/p>\n<h1><strong><span style=\"color: #00aeef\">New York State&#8217;s Empire AI: Getting Started &amp; FAQ<\/span><\/strong><\/h1>\n<h3>\u00a0<\/h3>\n<h3><strong><span style=\"color: #00aeef\">About Empire AI<\/span><\/strong><\/h3>\n<p><a id=\"menur2jc\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.empireai.edu\/\" href=\"https:\/\/www.empireai.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Empire\u00a0AI\">Empire\u00a0AI<\/a>\u00a0<span style=\"color: #000000\">is a consortium of ten\u00a0New\u00a0York State institutions with support from\u00a0New\u00a0York State and private philanthropy that oversees a shared computing facility to promote responsible research and development, including the advancement of the ethical and public-interest uses of artificial intelligence (AI) and high-performance computing (HPC) technologies in\u00a0New\u00a0York.<\/span><\/p>\n<p><a id=\"menur2je\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.governor.ny.gov\/news\/governor-hochul-launches-first-phase-empire-ai-powering-critical-research-public-good-just-six\" href=\"https:\/\/www.governor.ny.gov\/news\/governor-hochul-launches-first-phase-empire-ai-powering-critical-research-public-good-just-six\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Launched in April 2024 by Governor Kathy Hochul,\"><u>Launched in April 2024 by Governor Kathy Hochul,<\/u><\/a> <span style=\"color: #000000\">Empire AI is a bold partnership of New York\u2019s leading public and private universities, establishing a <strong>state-of-the-art artificial intelligence computing center, housed at SUNY\u2019s University at Buffalo.<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<h3><span style=\"color: #00aeef\"><strong>Who is managing the Empire AI cluster?<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000\">The Empire AI cluster is administrated and managed by Empire AI, not the Minerva admin team. The Minerva team will assist in supporting our Mount Sinai researchers on using the Empire cluster and general questions. Please note that the Empire AI team is operating with limited support capacity during this phase.<\/span><\/p>\n<p>\u00a0<\/p>\n<h3><span style=\"color: #00aeef\"><strong>Terms and conditions to use Empire AI cluster?<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000\">PLEASE REVIEW the full\u00a0<\/span><a id=\"menurud\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/empireai.freshdesk.com\/a\/solutions\/articles\/157000364334\" href=\"https:\/\/empireai.freshdesk.com\/a\/solutions\/articles\/157000364334\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link https:\/\/empireai.freshdesk.com\/a\/solutions\/articles\/157000364334\"><strong>Terms and conditions of use of Empire AI resources<\/strong><\/a>. <span style=\"color: #000000\">This is developed by Empire AI.<\/span><\/p>\n<h3>\u00a0<\/h3>\n<h3><span style=\"color: #00aeef\"><strong>Minerva\u00a0<\/strong><\/span><strong style=\"color: #00aeef\">Graphics Processing Units (<\/strong><strong style=\"color: #00aeef\">GPUs) or Empire AI GPUs?<\/strong><\/h3>\n<ul>\n<li><span style=\"color: #000000\"><b>Empire AI GPUs will complement existing Minerva infrastructure with extra GPU resources for general data as needed.<\/b><b><br \/><\/b><\/span><\/li>\n<li><span style=\"color: #000000\"><b>Minerva remains the only cybersecurity &#8211; and Health Insurance Portability and Accountability Act (HIPAA) &#8211; approved GPU platform for Mount Sinai Health System (MSHS) data.<\/b><\/span><\/li>\n<li><span style=\"color: #000000\"><b>You can always use Minerva GPUs with all the extensive services as needed.<\/b><\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li><span style=\"color: #000000\"><u><i>Currently Minerva has a larger number of H100 and GPUs than Empire A<\/i><\/u>I (installed in November 2024); see details <u style=\"font-size: 14px\"><a style=\"color: #000000\" href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/resources\/hardware-technical-specs\/\">here.<\/a><\/u><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li><span style=\"color: #000000\">Minerva will also install <b>48x B200, <\/b>as <a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/\">announced<\/a>, which will be in production in <strong>Feb.<\/strong><b> 2026.<\/b><\/span>\n<ul>\n<li><i style=\"color: #000000\">8x <\/i><i style=\"color: #000000\">NVLinked<\/i><i style=\"color: #000000\"> B200 GPUs per node, 192 GB of memory per GPU, for a total of 48 xB200 GPUs and 9 terabytes (TB) of memory available on B200<\/i><\/li>\n<li><i style=\"color: #000000\">112 Intel Xeon Platinum 8570 2.1GHz Cores, 2 TB memory, 25 TB high-speed NVME local storage per node for a total of 672 cores and 12 terabytes of memory on servers.<\/i><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><strong><span style=\"color: #00aeef\"><span style=\"color: #000000\"><span style=\"color: #00aeef\">Frequently Asked Questions<\/span> <span style=\"color: #00aeef\">(<\/span><\/span>FAQs)<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000\">The following FAQs provide essential information on accessing, using, and managing resources on the Empire AI cluster:<\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>1. <a href=\"#empire1\">What are the technical specifications of the Empire AI cluster?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>2. <a href=\"#empire2\">Can I process sensitive data on the Empire AI cluster?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>3. <a href=\"#empire3\">How do I get access to the Empire AI cluster?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>4. <a href=\"#empire4\">How do I connect to the cluster?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>5. <a href=\"#empire5\">What type of scheduler does the Empire AI cluster use?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>6. <a href=\"#empire6\">How do I submit jobs?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>7. <a href=\"#empire7\">How do I use storage?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>8. <a href=\"#empire8\">How do I manage permissions?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>9. <a href=\"#empire9\">How do I transfer data?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>10. <a href=\"#empire10\">How should I acknowledge or cite Empire AI when I use it in a paper or presentation?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>11. <a href=\"#empire11\">How do I open a support ticket for Empire AI?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong>12. <a href=\"#empire12\">Where can I find more information or additional resources about Empire AI? <\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong><a href=\"#empire12\">13. Do I need to pay to use Empire AI?<\/a><\/strong><\/span><\/p>\n<p><span style=\"color: #00aeef\"><strong><a href=\"#empire12\">14. Does Mount Sinai AI policies apply to the use of Empire AI?<\/a><\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire1\"><\/a>1. What are the technical specifications of the Empire AI cluster?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">Please check<\/span> <a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000363466\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><span style=\"color: #00aeef\"><strong><a id=\"empire2\"><\/a>2. <span data-teams=\"true\">Can I process sensitive data on the Empire AI cluster?<\/span><\/strong><\/span><\/p>\n<p><span data-teams=\"true\">No. Empire AI is not currently appropriate for<i>\u00a0any sensitive, HIPAA, controlled genomic, other controlled data or any data from any patient care process from MSHS (Mount Sinai Health System) such as MSHS clinical data including de-identified clinical data, EHR, genetics and transcriptomics etc on the Empire AI cluster<\/i>. There is no cybersecurity\/encryption or regulatory framework in place currently; however, efforts are underway to develop a HIPAA-compliant environment.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire3\"><\/a>3. How do I get access to the Empire AI cluster?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">All Mount Sinai PIs and Users are required to sign a DUA first.<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\">To get started, Mount Sinai PIs must initiate the process by submitting the<\/span> <a href=\"https:\/\/forms.hpc.mssm.edu\/index.php\">Empire AI Data Use Agreement Form<\/a> <span style=\"color: #000000\">(a requirement from Mount Sinai).<\/span><\/li>\n<li><span style=\"color: #000000\">After DUA received, PIs and Users will be contacted with instructions for Empire AI project onboarding.<\/span>\n<ol>\n<li><span style=\"color: #000000\">PIs submit \u201cEmpire AI project onboarding Form\u201d with projects details and users listed.<\/span><\/li>\n<li><span style=\"color: #000000\">Listed users submit<\/span> <a href=\"https:\/\/forms.hpc.mssm.edu\/index.php\">Empire AI Data Use Agreement Form<\/a> <span style=\"color: #000000\">&amp; Empire AI user onboarding form.<\/span><\/li>\n<\/ol>\n<\/li>\n<\/ul>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire4\"><\/a>4. How do I connect to the cluster?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">To log in to Alpha, you need to use an SSH client. The hostname is: alpha.empire-ai.org<\/span><\/p>\n<p><span style=\"color: #000000\">Connect using:<\/span><\/p>\n<pre><span style=\"color: #000000\">ssh [YourUsername]@<\/span><a href=\"http:\/\/alpha.empire-ai.org\">alpha.empire-ai.org<\/a><\/pre>\n<p><span style=\"color: #000000\">For more details, see<\/span> <a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000010767-how-do-i-connect-to-alpha-\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><span style=\"color: #00aeef\"><strong><a id=\"empire5\"><\/a>5. What type of scheduler does the Empire AI cluster use?<\/strong><\/span><\/p>\n<p><span style=\"color: #000000\">The Empire AI Alpha cluster uses Slurm (Simple Linux Utility for Resource Management) as its job scheduler. To learn about Slurm, see below.<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/slurm.schedmd.com\/\">Official Documentation<\/a><\/li>\n<li><a href=\"https:\/\/slurm.schedmd.com\/quickstart.html\">Quick Start User Guide<\/a><\/li>\n<\/ul>\n<p><span style=\"color: #00aeef\"><strong><a id=\"empire6\"><\/a>6. How do I submit jobs?<\/strong><\/span><\/p>\n<p><span style=\"color: #000000\">Mount Sinai users must submit jobs to the <strong>mountsinai<\/strong> partition, which is dedicated to Sinai accounts.<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\">Check your account\/partition:<\/span><\/li>\n<\/ul>\n<pre><span style=\"color: #000000\">ml slurm<\/span><\/pre>\n<pre><span style=\"color: #000000\">sacctmgr show assoc user=$USER format='User,Account'<\/span><\/pre>\n<p><span style=\"color: #000000\">This shows the account name you must use with your jobs (for Sinai users, it will be <strong>mountsinai<\/strong>).<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\">In job scripts: Add the following lines in your script:<\/span><\/li>\n<\/ul>\n<pre><span style=\"color: #000000\">#SBATCH --partition mountsinai\r\n#SBATCH --account mountsinai<\/span><\/pre>\n<ul>\n<li><span style=\"color: #000000\">Requesting GPUs: On the Alpha cluster, you must request the number of GPUs needed by using the Slurm option<\/span><\/li>\n<\/ul>\n<pre><span style=\"color: #000000\">--gpus-per-node=X.<\/span><\/pre>\n<ul>\n<li><span style=\"color: #000000\">CPU-only node:<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000\">Alpha has one compute node without GPUs that all users can access. To use it, set<\/span><\/p>\n<pre><span style=\"color: #000000\">--partition=cpu.<\/span><\/pre>\n<ul>\n<li><span style=\"color: #000000\">Submitting a batch job:<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000\">Example:<\/span><\/p>\n<pre><span style=\"color: #000000\">sbatch my_job.slurm<\/span><\/pre>\n<ul>\n<li><span style=\"color: #000000\">Interactive job: You can start an interactive job on the Alpha cluster like below.<\/span><\/li>\n<\/ul>\n<pre><span style=\"color: #000000\">srun --partition=mountsinai\\\r\n     --account=mountsinai \\<\/span>\r\n<span style=\"color: #000000\">     --gpus=1 \\\r\n \u00a0\u00a0\u00a0\u00a0--ntasks=1 \\\r\n \u00a0\u00a0\u00a0\u00a0--time=00:30:00 \\\r\n \u00a0\u00a0\u00a0\u00a0--nodes=1 \\\r\n \u00a0\u00a0\u00a0\u00a0--pty \/bin\/bash<\/span><\/pre>\n<p><span style=\"color: #000000\">For more details, please check the following links:<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000010768-how-do-i-submit-jobs-\">How do I submit jobs?<\/a><\/li>\n<li><a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000168778-slurm-partitions-queues-\">Slurm Partitions (Queues)<\/a><\/li>\n<\/ul>\n<p><span style=\"color: #00aeef\"><strong><a id=\"empire7\"><\/a>7. How do I use storage?<\/strong><\/span><\/p>\n<ul>\n<li>\n<pre><span style=\"color: #000000\">Home (\/mnt\/home\/[username]):<\/span><\/pre>\n<\/li>\n<\/ul>\n<p><span style=\"color: #000000\">Each user has a personal home directory at\u00a0<\/span><span style=\"color: #000000;font-family: 'Courier New', monospace\">\/mnt\/home\/[username]<\/span><span style=\"color: #000000\">. Use this for job scripts, software installations, and files you need to keep long term and access frequently. It is not meant for large datasets or scratch work.\u00a0<\/span><\/p>\n<ul>\n<li>\n<pre><span style=\"color: #000000\">Scratch (\/mnt\/lustre\/mountsinai\/[username]):<\/span><\/pre>\n<\/li>\n<\/ul>\n<p><span style=\"color: #000000\">In addition to your home directory, you also have space on the global scratch storage at<\/span><\/p>\n<pre><span style=\"color: #000000\">\/mnt\/lustre\/mountsinai\/[username]. <\/span><\/pre>\n<p><span style=\"color: #000000\">This is high-performance storage designed for job data, temporary files, and large datasets. Treat it as scratch space, since policies may be added to remove inactive files in the future.<\/span><\/p>\n<ul>\n<li>\n<pre><span style=\"color: #000000\">Shared Memory (\/dev\/shm):<\/span><\/pre>\n<\/li>\n<\/ul>\n<p><span style=\"color: #000000\">Very fast in-memory storage, best for jobs with many small or frequent file operations. It counts toward your job\u2019s memory use, so make sure to request enough memory to cover both your code and<\/span><span style=\"color: #000000;font-family: 'Courier New', monospace\">\/dev\/shm\u00a0<\/span><span style=\"color: #000000\">requirements.<\/span><\/p>\n<p><span style=\"color: #000000\">For more details, see<\/span> <a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000175046-empire-ai-alpha-storage\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire8\"><\/a>8. How do I manage permissions?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">Alpha supports Access Control Lists (ACLs) for more flexible access than POSIX permissions. ACL usage differs for<\/span><\/p>\n<pre><span style=\"color: #000000\">\/mnt\/home and \/mnt\/lustre.<\/span><\/pre>\n<ul>\n<li><span style=\"color: #000000\">Managing ACLs on \/mnt\/home<\/span><\/li>\n<\/ul>\n<pre><span style=\"color: #000000\">Use nfs4_setfacl \/ nfs4_getfacl.<\/span><\/pre>\n<p><span style=\"color: #000000\">Must use UID numbers, not usernames<\/span><\/p>\n<p><span style=\"color: #000000\">Example 1: Allow another user to view home directory<\/span><\/p>\n<pre><span style=\"color: #000000\">id -u username\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 # get UID (e.g., 1029)\r\n<\/span><span style=\"color: #000000\">nfs4_setfacl -a \"A::1029:RX\" $HOME\r\n<\/span><span style=\"color: #000000\">nfs4_getfacl $HOME\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/pre>\n<pre>\u00a0<\/pre>\n<p><span style=\"color: #000000\">Example 2: Allow another user to view all contents of home<\/span><\/p>\n<pre><span style=\"color: #000000\">id -u username\r\n<\/span><span style=\"color: #000000\">nfs4_setfacl -R -a \"A::1029:RX\" $HOME\r\n<\/span><span style=\"color: #000000\">nfs4_setfacl -a \"A:fdi:1029:RX\" $HOME\r\n<\/span><span style=\"color: #000000\">nfs4_setfacl -a \"A:gfdi:GROUP@:RX\" $HOME<\/span><\/pre>\n<p><span style=\"color: #000000\"># Add an entry so that UID 1029 has inherited RX permissions<\/span><\/p>\n<pre><span style=\"color: #000000\">nfs4_setfacl -a \"A:fdi:1029:RX\" $HOME<\/span><\/pre>\n<p><span style=\"color: #000000\">For more details, see<\/span> <a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000010953-how-can-i-share-data-with-other-users-\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire9\"><\/a>9. How do I transfer data?<\/span><\/strong><\/p>\n<ul>\n<li><span style=\"color: #000000\">SCP, SFTP, and rsync: You can transfer files to and from the Alpha cluster using standard utilities such as SCP, SFTP, and rsync. Transfers may be initiated either from the command line or through an SSH client with a graphical interface, such as FileZilla or CyberDuck.<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000\">For detailed instructions, please see<\/span> <a href=\"https:\/\/docs.ccr.buffalo.edu\/en\/latest\/hpc\/data-transfer\/#secure-shell-copy\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire10\"><\/a>10. How should I acknowledge or cite Empire AI when I use it in a paper or presentation?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">Please check<\/span> <a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\/articles\/157000359451-acknowledging-use-of-empire-ai-in-a-paper-or-presentation\">here<\/a>.<\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire11\"><\/a>11. How do I open a support ticket for Empire AI?<\/span><\/strong><\/p>\n<p><span style=\"color: #000000\">To open a support ticket, simply send an email to support@empireai.edu. Please include details such as your username, the problem you are experiencing, and any job IDs or error messages that will help the support team assist you. Please note that while our team is operating with limited support capacity during this phase, we\u2019ll respond as promptly as possible.<\/span><\/p>\n<p>\u00a0<\/p>\n<p><strong><span style=\"color: #00aeef\"><a id=\"empire12\"><\/a>12. Where can I find more information or additional resources about Empire AI?<\/span><\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/empireai.freshdesk.com\/support\/solutions\">Empire AI General Info Page<\/a><\/li>\n<li><a href=\"https:\/\/www.empireai.edu\">Empire AI Consortium \u2013 Overview<\/a><\/li>\n<li><a href=\"https:\/\/www.governor.ny.gov\/news\/governor-hochul-announces-90-million-plan-expand-historic-empire-ai-consortium-and-enhance\">Governor Hochul&#8217;s Press Release on Empire AI Expansion<\/a><\/li>\n<\/ul>\n<p><span style=\"color: #00aeef\"><strong><a href=\"#empire12\">13. Do I need to pay to use Empire AI?<\/a><\/strong><\/span><\/p>\n<p>No charge now. Cost recovery will be starting in Mar. 2026 (for both Alpha + Beta resources). Charging rate is TBD.<\/p>\n<p><span style=\"color: #00aeef\"><strong><a href=\"#empire12\">14. Does Mount Sinai AI policies apply to the use of Empire AI?<\/a><\/strong><\/span><\/p>\n<p>Yes. All Mount Sinai AI policies (<a href=\"https:\/\/mshs.policytech.com\/dotNet\/documents\/?docid=61585&amp;app=pt&amp;source=browse\">MSHS AI Implementation and Use Policy<\/a>) apply to use of Empire AI.<\/p>\n<p>\u00a0<\/p>\n<h3 class=\"x_elementToProof\"><span style=\"color: #00aeef\"><strong>TOWN HALL: New GPUs\/AI resources available on Empire AI Computing Center\u00a0<\/strong><\/span><\/h3>\n<div class=\"x_elementToProof\">\n<p><span style=\"color: #000000\">A Town Hall on the new GPUs\/AI resources available on Empire AI Computing Center<\/span> (<a id=\"OWAa0b5b8ae-a3bd-0db3-b1de-b6204d33f88a\" class=\"x_OWAAutoLink\" title=\"https:\/\/www.empireai.edu\/\" href=\"https:\/\/www.empireai.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" data-linkindex=\"0\">https:\/\/www.empireai.edu\/<\/a>) <span style=\"color: #000000\">was held on\u00a0<b>October 10 at 12:00 PM (noon).<\/b><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\">The following topics were covered:<\/span>\n<ul>\n<li><span style=\"color: #000000\">What is Empire AI<\/span><\/li>\n<li><span style=\"color: #000000\">Empire AI GPU Hardware Resources<\/span><\/li>\n<li><span style=\"color: #000000\">How to Access<\/span><\/li>\n<li><span style=\"color: #000000\">Discussion &amp; Questions<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><b><span style=\"color: #000000\">Slides from this town hall are now available\u00a0<\/span><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-content\/uploads\/sites\/342\/2025\/10\/EmpireAI_TownHall_Oct10_2025_Final2.pdf\">here<\/a>\u00a0and the video recording <a href=\"https:\/\/sc.u.hpc.mssm.edu\/HPC\/EmpireAI_TownHall_20251010.mp4\">here<\/a>.<\/b><\/p>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientific Computing and Data\u00a0\/\u00a0High Performance Computing \/ Documentation \/ New York State\u2019s Empire AI &nbsp; New York State&#8217;s Empire AI: Getting Started &amp; FAQ\u00a0About Empire AIEmpire\u00a0AI\u00a0is a consortium of ten\u00a0New\u00a0York State institutions with support from\u00a0New\u00a0York State and private philanthropy that oversees a shared computing facility to promote responsible research and development, including the advancement of [&hellip;]<\/p>\n","protected":false},"author":700,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-12387","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/users\/700"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/comments?post=12387"}],"version-history":[{"count":66,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12387\/revisions"}],"predecessor-version":[{"id":13140,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12387\/revisions\/13140"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/media?parent=12387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}