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EPAM and TGS Partner with AWS to Move Energy Sector Seismic Data to the Cloud
On June 8, EPAM Systems Inc. (NYSE:EPAM) and geoscience specialist TGS announced a joint venture that positions the two companies at the forefront of a cloud‑driven push to bring artificial‑intelligence (AI) into the energy sector. Building on TGS Imaging AnyWare’s recent migration to Amazon Web Services (AWS), the partnership aims to give energy operators a faster, cheaper way to process petabyte‑scale seismic data.
The collaboration zeroes in on three core technologies. First, TGS Data Verse delivers secure, OSDU‑compliant access to subsurface data. Second, cloud‑native seismic imaging runs on AWS Graviton processors and Spot instances, providing higher performance at a lower cost than traditional on‑premises hardware. Third, EPAM’s Energy HPC Orchestrator (EHO) supplies modular, AI‑enabled workflow management that can be deployed on AWS’s high‑performance computing clusters. Together, these tools form a unified environment that simplifies data access, accelerates imaging, and cuts the capital intensity of large‑scale computational projects.
In its press release, the partnership casts TGS as an AI‑native geoscience firm that blends domain expertise with AWS’s computational scale and EPAM’s cloud‑engineering know‑how. The goal is to give operators a more agile, high‑performance infrastructure that moves them from raw data to discovery more efficiently.
EPAM, headquartered in Pennsylvania, is a digital platform engineering and software development firm that serves cloud, marketing, cybersecurity and other sectors. Its Energy HPC Orchestrator, available on the AWS Marketplace, is described as a tool that can significantly reduce processing time for data‑intensive tasks.
The shift to the cloud is a milestone for the energy industry, where seismic imaging has traditionally relied on large, on‑premises clusters that are costly and hard to scale. By leveraging AWS’s elastic infrastructure, the partnership seeks to eliminate bottlenecks and lower the cost of processing petabyte‑scale data.
Analysts note that EPAM is currently viewed as an underperforming tech stock, yet its involvement in this energy‑sector initiative could be a potential upside. The partnership is part of a broader trend in which energy firms are adopting AI and cloud technologies to improve exploration and production efficiency.
TGS’s Data Verse, built on the Open Subsurface Data Universe (OSDU) standard, streamlines data management and reduces storage costs by over 30 % according to the company’s own metrics. The platform also supports secure data sharing across stakeholders.
AWS’s Graviton processors, first introduced in 2018, are ARM‑based CPUs designed for high‑throughput workloads. The use of Spot instances—unused EC2 capacity sold at a discount—further reduces the cost of running large imaging jobs.
EPAM’s Energy HPC Orchestrator, developed in partnership with AWS, provides job scheduling, data movement, and cost optimisation across HPC clusters. The tool is intended to help operators manage complex workflows that involve multiple AI models and data sources.
Although the collaboration is still in its early stages, the migration of TGS Imaging AnyWare to AWS is already operational. The company reports that the cloud deployment has improved performance and reduced the time required to generate seismic images.
The partnership also signals a shift in how energy companies view cloud infrastructure. By adopting a cloud‑native approach, operators can avoid the upfront capital expenditures associated with building and maintaining on‑premises clusters.
EPAM and TGS’s joint effort is one of several initiatives in the energy sector that aim to harness AI and cloud computing. Other firms have announced similar moves, but this partnership stands out for its focus on petabyte‑scale data and its integration of multiple cloud services.
In summary, EPAM Systems and TGS have announced a partnership that leverages AWS infrastructure to accelerate AI‑driven seismic imaging in the energy sector. The collaboration centers on TGS Data Verse, cloud‑native imaging on AWS Graviton and Spot instances, and EPAM’s Energy HPC Orchestrator. The move is intended to reduce costs, improve performance, and streamline the path from raw data to discovery. The partnership reflects a broader trend of energy companies adopting cloud and AI technologies to increase efficiency.
The current status is that the migration of TGS Imaging AnyWare to AWS is complete, and the three core tools are being integrated into a unified workflow. Future milestones include broader deployment of the Energy HPC Orchestrator across additional energy operators and further optimisation of the cloud‑native imaging pipeline. No regulatory filings or additional funding rounds have been announced at this time.
The collaboration zeroes in on three core technologies. First, TGS Data Verse delivers secure, OSDU‑compliant access to subsurface data. Second, cloud‑native seismic imaging runs on AWS Graviton processors and Spot instances, providing higher performance at a lower cost than traditional on‑premises hardware. Third, EPAM’s Energy HPC Orchestrator (EHO) supplies modular, AI‑enabled workflow management that can be deployed on AWS’s high‑performance computing clusters. Together, these tools form a unified environment that simplifies data access, accelerates imaging, and cuts the capital intensity of large‑scale computational projects.
In its press release, the partnership casts TGS as an AI‑native geoscience firm that blends domain expertise with AWS’s computational scale and EPAM’s cloud‑engineering know‑how. The goal is to give operators a more agile, high‑performance infrastructure that moves them from raw data to discovery more efficiently.
EPAM, headquartered in Pennsylvania, is a digital platform engineering and software development firm that serves cloud, marketing, cybersecurity and other sectors. Its Energy HPC Orchestrator, available on the AWS Marketplace, is described as a tool that can significantly reduce processing time for data‑intensive tasks.
The shift to the cloud is a milestone for the energy industry, where seismic imaging has traditionally relied on large, on‑premises clusters that are costly and hard to scale. By leveraging AWS’s elastic infrastructure, the partnership seeks to eliminate bottlenecks and lower the cost of processing petabyte‑scale data.
Analysts note that EPAM is currently viewed as an underperforming tech stock, yet its involvement in this energy‑sector initiative could be a potential upside. The partnership is part of a broader trend in which energy firms are adopting AI and cloud technologies to improve exploration and production efficiency.
TGS’s Data Verse, built on the Open Subsurface Data Universe (OSDU) standard, streamlines data management and reduces storage costs by over 30 % according to the company’s own metrics. The platform also supports secure data sharing across stakeholders.
AWS’s Graviton processors, first introduced in 2018, are ARM‑based CPUs designed for high‑throughput workloads. The use of Spot instances—unused EC2 capacity sold at a discount—further reduces the cost of running large imaging jobs.
EPAM’s Energy HPC Orchestrator, developed in partnership with AWS, provides job scheduling, data movement, and cost optimisation across HPC clusters. The tool is intended to help operators manage complex workflows that involve multiple AI models and data sources.
Although the collaboration is still in its early stages, the migration of TGS Imaging AnyWare to AWS is already operational. The company reports that the cloud deployment has improved performance and reduced the time required to generate seismic images.
The partnership also signals a shift in how energy companies view cloud infrastructure. By adopting a cloud‑native approach, operators can avoid the upfront capital expenditures associated with building and maintaining on‑premises clusters.
EPAM and TGS’s joint effort is one of several initiatives in the energy sector that aim to harness AI and cloud computing. Other firms have announced similar moves, but this partnership stands out for its focus on petabyte‑scale data and its integration of multiple cloud services.
In summary, EPAM Systems and TGS have announced a partnership that leverages AWS infrastructure to accelerate AI‑driven seismic imaging in the energy sector. The collaboration centers on TGS Data Verse, cloud‑native imaging on AWS Graviton and Spot instances, and EPAM’s Energy HPC Orchestrator. The move is intended to reduce costs, improve performance, and streamline the path from raw data to discovery. The partnership reflects a broader trend of energy companies adopting cloud and AI technologies to increase efficiency.
The current status is that the migration of TGS Imaging AnyWare to AWS is complete, and the three core tools are being integrated into a unified workflow. Future milestones include broader deployment of the Energy HPC Orchestrator across additional energy operators and further optimisation of the cloud‑native imaging pipeline. No regulatory filings or additional funding rounds have been announced at this time.
