CMG is continuing the evolution of its simulation solutions to leverage NVIDIA’s full-stack accelerated computing platform, including NVIDIA H100 Tensor Core GPUs, NVIDIA GH200 Grace Hopper Superchips, and the NVIDIA high-performance computing software stack, as well as the high-performance computing software development kit. By leveraging NVIDIA’s platform, CMG aims to unlock improvements to computational speed while maintaining the high degree of technical accuracy that the company is known for.

A large focus for CMG is also energy transition. Not only is CMG a leader in reservoir simulation solutions but is also at the forefront driving new solutions for carbon capture and storage (CCS) simulation, which are key to the energy transition. Additionally, running on the NVIDIA GH200 platform can allow for less energy consumption when running CMG’s solutions.

“Leveraging NVIDIA accelerated computing offers CMG a platform to innovate at the intersection of numerical simulation, AI, and high-performance computing,” said Pramod Jain, CEO of CMG. “Our work with NVIDIA underscores CMG’s ongoing dedication to technological excellence, demonstrating our commitment to advancing industry-leading simulation solutions and delivering greater value to our clients by prioritizing speed and efficiency.”

By integrating NVIDIA’s full-stack accelerated computing platform, CMG can continue to empower energy companies to make faster, more informed decisions, helping them optimize both oil and gas production and energy transition projects like CCS.

“Among the world’s most complex problems to tackle are subsurface simulations,” said Marc Spieler, senior managing director of energy at NVIDIA. “CMG’s adoption of NVIDIA AI and accelerated computing provides an energy-efficient, high-performance computing platform to drive meaningful change in conventional energy applications and support a wide range of energy transition initiatives.”