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cloud-machine-allocation

Inductiva API v0.14 release

February 17, 2025

GPU-Accelerated Simulations on Inductiva.AI – Faster, More Efficient HPC with Inductiva API v0.14

Inductiva API v0.14 introduces GPU-powered numerical simulations, real-time output monitoring, seamless AWS exports, and an expanded set of built-in simulators, enhancing high-performance computing (HPC) for scientific research. With GPU acceleration now available, users can leverage parallel computing for faster, large-scale simulations, significantly reducing runtime and boosting performance in molecular dynamics, CFD, fusion energy, and AI-driven physics modeling.

The Inductiva Team

CFD SimulationsCloud machine allocationCoastal DynamicsCoastal EngineeringComputational DesignDocker and ApptainerHow to choose the best cloud machine for simulationsNumerical SimulationsInductiva API v0.14 releaseSNL-SWANCPK2GXGPUGROMACS
Allocating Computational Resources in a Diverse Chip Ecosystem

December 18, 2024

Allocating Computational Resources in a Diverse Chip Ecosystem

Dive into the "Allocation Problem" in cloud computing and see how Inductiva’s benchmarking tools help you make better-informed decisions for performance and cost optimization.

Luís Sarmento

Maya Hershey

Cloud machine allocationBenchmarking tools for cloud computingCloud performance vs. cost analysisAllocation problem in cloud computing explainedHigh-performance computing on AWS, Google Cloud, and Azure

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