{"id":14514,"date":"2025-01-06T20:36:13","date_gmt":"2025-01-07T01:36:13","guid":{"rendered":"https:\/\/ptp.cloud\/?p=14514"},"modified":"2025-09-15T21:32:53","modified_gmt":"2025-09-16T01:32:53","slug":"alphafold-optimization-healthomics-ptp","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/alphafold-optimization-healthomics-ptp\/","title":{"rendered":"How PTP Enabled 12x Faster AlphaFold Workflows and 86% Cost Savings with AWS HealthOmics"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|tablet&#8221; admin_label=&#8221;Section&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#3e489d&#8221; background_image=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/Square-Pattern-Hero-Background.png&#8221; custom_padding=&#8221;5px||||false|false&#8221; custom_padding_tablet=&#8221;40px||40px||true|false&#8221; custom_padding_phone=&#8221;40px||40px||true|false&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;63px||1px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_heading title=&#8221;How PTP Enabled 12x Faster AlphaFold Workflows and 86% Cost Savings* with AWS HealthOmics&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; title_font=&#8221;&#8211;et_global_heading_font|700|||||||&#8221; title_text_color=&#8221;#ffffff&#8221; title_font_size=&#8221;3.5rem&#8221; title_line_height=&#8221;1.2em&#8221; max_width_tablet=&#8221;620px&#8221; max_width_phone=&#8221;620px&#8221; max_width_last_edited=&#8221;on|tablet&#8221; custom_padding=&#8221;40px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/PTP-Hero-Section-Goat-Illustration-min.png&#8221; alt=&#8221;Illustration of Goat working on servers leading data to the cloud and to a proved treatment&#8221; title_text=&#8221;PTP Hero Section Goat Illustration&#8221; align=&#8221;center&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; max_width_tablet=&#8221;75%&#8221; max_width_phone=&#8221;75%&#8221; max_width_last_edited=&#8221;on|tablet&#8221; custom_padding=&#8221;25px||25px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;|auto|29px|auto||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;1.5rem&#8221; text_line_height=&#8221;2.1rem&#8221; max_width_tablet=&#8221;620px&#8221; max_width_phone=&#8221;620px&#8221; max_width_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]\n<p data-pm-slice=\"1 1 []\"><span>A biotechnology firm in stealth mode, dedicated to advancing vaccines for global health, leveraged AlphaFold to predict and understand protein structures using machine learning. AlphaFold, powered by convolutional neural networks (CNN), offers groundbreaking insights but requires extensive computational resources. Before engaging PTP, the company faced severe limitations with their on-premises infrastructure, hindering their ability to scale AlphaFold effectively.<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_number_counter title=&#8221;*The HealthOmics deployment resulted in an 86% cost reduction compared to the initial proof of concept deployment using AWS.&#8221; number=&#8221;86&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#ffffff&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_number_counter][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_number_counter title=&#8221;Freed from static on-prem constraints, the company\u2019s workflows accelerated by 12 times.&#8221; number=&#8221;12x&#8221; percent_sign=&#8221;off&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#ffffff&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_number_counter][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;32px||1px|||&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;8px||1px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font||||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;45px||||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22%93}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #0c71c3;\"><strong>The Challenge<\/strong><\/span><\/h2>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;2px||63px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_margin=&#8221;||7px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22,%22text_text_color%22,%22text_text_color%22%93}&#8221;]\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\">The company\u2019s existing infrastructure presented several roadblocks:<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\"><strong>Limited GPU Access<br \/><\/strong>AlphaFold was deployed on individual laptops or a single server with restricted GPU capabilities. Their laptops lacked GPU provisioning, and the server\u2019s GPU capacity was physically constrained.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\"><strong>Insufficient Storage<br \/><\/strong>The server lacked adequate storage to process lab data simultaneously, creating significant bottlenecks.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\"><strong>On-Prem Environment<br \/><\/strong>The company\u2019s reliance on on-premises infrastructure severely limited scalability, and they had no prior experience using <a href=\"https:\/\/aws.amazon.com\/\">AWS<\/a>.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\"><strong>Unpredictable Workload Scaling<br \/><\/strong>The complexity of AlphaFold\u2019s computational requirements made predicting resource needs difficult, rendering additional on-prem purchases financially unviable.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\"><strong>Lack of Cloud Expertise<br \/><\/strong>The team lacked the technical expertise to implement and scale AlphaFold workflows in the cloud.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.69);\">To progress toward their research targets, the company needed a scalable solution to run AlphaFold efficiently, reduce costs, and accelerate processing times.<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|tablet&#8221; next_background_color=&#8221;#ffffff&#8221; admin_label=&#8221;Section&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#3e489d&#8221; background_image=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/Square-Pattern-Hero-Background.png&#8221; custom_padding=&#8221;||52px||false|false&#8221; custom_padding_tablet=&#8221;40px||40px||true|false&#8221; custom_padding_phone=&#8221;40px||40px||true|false&#8221; bottom_divider_style=&#8221;arrow&#8221; bottom_divider_height=&#8221;83px&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;||99px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font||||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;||0px||false|false&#8221; custom_padding=&#8221;||16px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22%93}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #ffffff;\"><strong>The Solution<\/strong><\/span>\u00a0<\/h2>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_margin=&#8221;||0px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]\n<p>PTP introduced a cloud-scale computing platform to address the company\u2019s challenges and accelerate their research goals:<\/p>\n<p><strong>Initial Proof of Concept<\/strong><br \/>PTP migrated the company\u2019s data to <a href=\"https:\/\/aws.amazon.com\/s3\/\">Amazon S3<\/a> and deployed AlphaFold on traditional <a href=\"https:\/\/aws.amazon.com\/pm\/ec2\/\">EC2<\/a> compute resources to demonstrate cloud viability.<\/p>\n<p>This proof of concept validated that AWS could match or exceed their on-prem performance.<\/p>\n<p><strong>Optimized Deployment<\/strong><br \/>PTP evaluated two deployment options for AlphaFold: <a href=\"https:\/\/aws.amazon.com\/batch\/\"><strong>AWS Batch<\/strong><\/a> for a bespoke deployment and <a href=\"https:\/\/aws.amazon.com\/healthomics\/\"><strong>AWS HealthOmics<\/strong><\/a>.<\/p>\n<p>The company selected HealthOmics due to its advanced security features, robust storage capabilities, and native integration with <a href=\"https:\/\/www.nextflow.io\/\">NextFlow<\/a> for managing workflows.<\/p>\n<p><strong>Custom HealthOmics Deployment<\/strong><br \/>HealthOmics supported the deployment of AlphaFold\u2019s \u201cReady to Run\u201d version but required customization for the company\u2019s complex project, which involved processing more than 12,000 residues (compared to the standard 1,200).<\/p>\n<p>PTP adjusted existing scripting and deployment code within HealthOmics, enabling faster development and scalability.<\/p>\n<p><strong>Scalable Infrastructure<\/strong><br \/>PTP\u2019s deployment provided the company with access to multiple servers and GPUs, drastically reducing computational times from days to hours.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;32px||1px|||&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;54px|auto||auto||&#8221; custom_padding=&#8221;2px||0px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font||||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;||3px|||&#8221; custom_padding=&#8221;||38px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22%93}&#8221;]\n<h2 style=\"text-align: center;\"><span style=\"font-size: xx-large; color: #0c71c3;\"><strong>Infrastructure Diagram<\/strong><\/span><\/h2>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;rgba(0,0,0,0.66)&#8221; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_padding=&#8221;||40px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]\n<p style=\"text-align: center;\"><img decoding=\"async\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/01\/Reference-Architecture-for-Proof-of-Concept-Deployment-for-The-company.jpg\" alt=\"AWS reference architecture diagram illustrating the workflow for AlphaFold optimization using AWS Batch, AWS CloudFormation, Amazon FSx for Lustre, and AWS Code services. The diagram showcases job inputs and results moving through a Virtual Private Cloud (VPC) with general and GPU compute instances, integrating public datasets and models.\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 1: Reference Architecture for Proof-of-Concept Deployment for The company<\/span><\/i><\/p>\n<p><i><img decoding=\"async\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/01\/Reference-Architecture-for-Custom-HealthOmics-Deployment.jpg\" alt=\"AWS HealthOmics workflow diagram showing how users interact with Amazon S3 for job inputs and results, processing genomic data through AWS HealthOmics for optimized storage and analysis.\" style=\"display: block; margin-left: auto; margin-right: auto;\" \/><\/i><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Figure 2: Reference Architecture for Custom HealthOmics Deployment\u00a0<\/span><\/i><\/p>\n[\/et_pb_text][et_pb_divider _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;36px|auto||auto||&#8221; custom_padding=&#8221;2px||81px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;rgba(0,0,0,0.78)&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;||3px|||&#8221; custom_padding=&#8221;||11px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #0c71c3;\"><strong>The Outcome<\/strong><\/span><\/h2>\n<p><span style=\"font-size: xx-large; color: #0c71c3;\"><strong><br \/><\/strong><\/span><span style=\"font-size: 28px; color: rgba(0, 0, 0, 0.78); font-family: var(--et_global_heading_font),serif;\">PTP\u2019s engagement delivered transformative results:<\/span><\/p>\n<p><span style=\"font-size: xx-large; color: #0c71c3;\"><strong><\/strong><\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;rgba(0,0,0,0.66)&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_padding=&#8221;25px|25px|25px|25px|true|true&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; border_radii=&#8221;on|2px|2px|2px|2px&#8221; border_width_all=&#8221;1px&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><strong>12x Faster Workflows<\/strong><br \/>Freed from static on-prem constraints, <span style=\"color: #0c71c3;\"><strong>the company\u2019s workflows accelerated by 12 times<\/strong>.<\/span><\/p>\n<p><strong>86% Cost Savings<\/strong><br \/>The HealthOmics deployment <strong><span style=\"color: #0c71c3;\">resulted in an 86% cost reduction<\/span><\/strong> compared to the initial proof of concept deployment using AWS.<\/p>\n<p><strong>Massive Cost Avoidance<\/strong><br \/>Transitioning from on-prem infrastructure eliminated the need for significant equipment purchases, maintenance costs, and man-hours.<\/p>\n<p><strong>Improved Scalability<\/strong><br \/>The custom HealthOmics deployment allowed the company to scale AlphaFold workflows efficiently and process highly complex data sets.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; module_class=&#8221;vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; module_id=&#8221;contact&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/12\/Graphs-Isometric-Contained-Icon.png&#8221; alt=&#8221;Graphs Isometric Contained Icon&#8221; title_text=&#8221;Graphs Isometric Contained Icon&#8221; show_bottom_space=&#8221;off&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; 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_builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Ubuntu||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;1.25rem&#8221; text_line_height=&#8221;1.75rem&#8221; max_width=&#8221;620px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]\n<p data-pm-slice=\"1 1 []\"><span>By leveraging PTP\u2019s cloud expertise and AWS HealthOmics, the company significantly reduced costs, accelerated research timelines, and optimized functionality. <\/span>Contact PTP today<span> to learn how we can help optimize your cloud environment for research and innovation.<\/span><\/p>\n<p>&nbsp;<\/p>\n[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/outlook.office365.com\/owa\/calendar\/PTP1@pinnacletechpartners.com\/bookings\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Schedule a call&#8221; button_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; 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custom_padding=&#8221;60px|60px|25px|60px|false|true&#8221; custom_padding_tablet=&#8221;60px|60px|25px|60px|false|true&#8221; custom_padding_phone=&#8221;30px|30px|0px|30px|false|true&#8221; custom_padding_last_edited=&#8221;on|tablet&#8221; border_radii=&#8221;on|10px|10px|10px|10px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Ubuntu||||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.4em&#8221; header_2_font=&#8221;Ubuntu|500|||||||&#8221; header_2_text_color=&#8221;#FFFFFF&#8221; header_2_font_size=&#8221;38px&#8221; header_2_line_height=&#8221;1.2em&#8221; global_colors_info=&#8221;{}&#8221;]\n<h2 class=\"form-h2\" style=\"text-align: center;\"><strong>Let us help you unlock your potential.<\/strong><\/h2>\n<p style=\"text-align: center;\">Contact PTP today to learn how we can deliver cost-efficient, scalable, and compliant cloud solutions for your business.<\/p>\n[\/et_pb_text][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<div class=\"frm_forms  with_frm_style frm_style_formidable-style\" id=\"frm_form_2_container\" >\n<form enctype=\"multipart\/form-data\" method=\"post\" class=\"frm-show-form  frm_js_validate  frm_ajax_submit  frm_pro_form \" id=\"form_homepage-contact-us\" >\n<div class=\"frm_form_fields \">\n<fieldset>\n<legend class=\"frm_screen_reader\">Homepage Contact Us<\/legend>\r\n\r\n<div class=\"frm_fields_container\">\n<input type=\"hidden\" name=\"frm_action\" value=\"create\" \/>\n<input type=\"hidden\" name=\"form_id\" value=\"2\" \/>\n<input type=\"hidden\" name=\"frm_hide_fields_2\" id=\"frm_hide_fields_2\" value=\"\" \/>\n<input type=\"hidden\" name=\"form_key\" value=\"homepage-contact-us\" \/>\n<input type=\"hidden\" 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global health, leveraged AlphaFold to predict and understand protein structures using machine learning. AlphaFold, powered by convolutional neural networks (CNN), offers groundbreaking insights but requires extensive computational resources. Before engaging PTP, the company faced severe limitations with their on-premises infrastructure, hindering their ability to [&hellip;]<\/p>\n","protected":false},"author":445,"featured_media":16778,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p>In the fascinating and high-stakes domain of biotechnology, research validation and acquisition of the next wave of funding stand as crucial checkpoints in the journey of a startup. Amid an environment characterized by escalating scrutiny and disturbing reports of manipulated outcomes, it becomes critical to build an infrastructure that is not only efficient but also transparent and reliable. Our client in the startup life sciences space needed to build out their environment for informatics on AWS while requiring PTP help significantly expedite the research process and, most importantly, validate its authenticity.<\/p><p>The primary goal in fortifying the validity of research is in streamlining and automating the data processing pipelines. The science required the expertise to support scaling homegrown pipelines, industry-leading solutions such as Nextflow, which provides a scalable and reproducible scientific workflow using software containers, as well as open-source conglomerates like Cell Ranger, Seurat, Picard, and Star Aligner, which have shown proven results in genomics and computational biology. This client demanded a cloud pipeline solution that was automated, repeatable, easily changeable and fully documents to ensure research validation. These solutions, when interlaced with robust AWS offerings like EC2, ELB, Auto Scaling, Lambda, and Fargate, create a scalable, cost-efficient, and high-throughput data processing solution that stands all the major test of validation.<\/p><p>PTP leveraged EC2 Image Builder and Service Catalogs to produce images in a controlled and repeatable manner. This allows for scientists and informaticians to independently launch pipelines through Service Catalog. These users have limited permissions to just launch Service Catalog everything else is controlled through the code process and permissions are minimized by the security group for control.<\/p><p>PTP centralized the building of images in one account and that account shares across the organization into those required accounts which exchange information between accounts with Amazon Parameter Store.<\/p><p>Image building was automated using EC2 Image Builder allowing PTP to build different standard images for different functions. From there the team created a recipe in Image Builder containing the software components that make up the image and defines the ownership of the component. This provides complete documentation on what software and versions are installed, which in life sciences is essential for controlling variables and seeking research validation. This Build account has access to private and controlled code repositories so that software version can be frozen or recreated from any point in time<\/p><p>These builds were all written into Terraform to maintain the image files and component lists and version controlled by AWS Code Commit. As components change in Terraform, for example a software update to \u201cversion 4.2\u201d, Terraform will know the file has changed and will deploy a new version of the component which then creates a new version of the recipe in Image Builder.<\/p><p>For cost optimization, the Service Catalog services are tied to Cloudwatch events that trigger when devices go idle, then SQS queue and Lambda are used to terminate resources they go idle for a period of time. When services\/images are recreated, they are automatically reconnected to persistent storage. \u00a0Going forward, PTP is working with this client to incorporate Amazon WorkSpaces and AWS Managed AD to further isolate data and create additional levels of control and security.<\/p><p>The result of this design and infrastructure-as-code implementation is a data management platform that will aid in the effort of research validation due to the limitation of variables and changes. The team also estimates between a 50-75% savings reduction driven through the automated deployment and tear-down of resources for use only when called upon verses building a traditional cloud computing environment. Lastly, the least-privilege access configurations enhance the protection of sensitive data which aligns with the consistent approach to the build of a Well Architected AWS environment.<\/p><p>\u00a0<\/p><h3>Purchase PTP's <a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/prodview-it7fjq6rqix74?sr=0-13&ref_=beagle&applicationId=AWSMPContessa\">CloudOps Offer<\/a> on AWS Marketplace!<\/h3><p>\u00a0<\/p><h3>Learn More about PTP's CloudOps <a href=\"https:\/\/ptp.cloud\/cloud-ops\/\">HERE<\/a><\/h3>","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[232,23,12,14],"tags":[76],"table_tags":[],"class_list":["post-14514","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aiops-archive","category-aws-archive","category-aws-for-life-sciences-archive","category-case-studies-archive","tag-aws"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>12x Faster AlphaFold Workflows with 86% Cost Savings With PTP<\/title>\n<meta name=\"description\" content=\"Learn how PTP helped a biotech firm achieve 12x faster AlphaFold workflows and 86% cost savings with AWS HealthOmics.\" \/>\n<meta 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