Скачать или смотреть Geoscience Meets Cloud HPC: How EPAM, TGS & AWS Are Redefining Energy Supercomputing

Discover how EPAM Systems, TGS, and AWS are pioneering the next generation of geoscience computing — combining AI, scalable cloud HPC, and data innovation to power sustainable energy transformation.

Geoscience computing is entering a new era — and cloud-based HPC (High Performance Computing) is at the center of it.

In this video, Mikhail Gurevich, Chief Technologist for Global Energy Competency at EPAM Systems, explores how industries like oil and gas are reimagining seismic imaging, reservoir simulation, and full-waveform inversion with cloud-native, AI-ready HPC solutions.

While sectors like finance and life sciences have already transitioned to cloud computing, the energy industry faces unique challenges:

Rigid legacy systems built for on-premise supercomputers

Data bottlenecks spanning hundreds of terabytes

Intolerance to interruptions in large-scale seismic workloads

And the hidden limits of cloud scalability

Through collaborations with AWS, TGS, and leading energy operators, EPAM is overcoming these barriers — delivering elastic, fault-tolerant, and data-centric HPC platforms that accelerate insights while reducing carbon footprint.

From the development of the Energy HPC Orchestrator (EHO) to the design of hybrid cloud architectures, this new approach is transforming how geoscience data is processed, visualized, and scaled globally.

🔹 Key topics: Cloud HPC, seismic computing, energy innovation, AI in oil & gas, EPAM Systems, AWS collaboration, data architecture, sustainable computing.
🔹 Watch now to learn how HPC is evolving from a fixed asset into an adaptive capability — on demand and ready for the future of energy.

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