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Flexible, compliant GPU infrastructure accelerates innovation without vendor lock-in
Synetic.ai leverages Vultr’s transparent GPU pricing and global bare metal infrastructure to scale AI workloads efficiently. With support for hybrid and multi-cloud workflows, secure data handling, and disaster recovery, the company can expand simulation capacity, accelerate model development, and maintain operational flexibility across multiple industries.
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Synetic.ai Powers Computer Vision With Vultr Bare Metal GPUs
Synetic.ai runs physics-accurate simulations at scale with Vultr Bare Metal and NVIDIA HGX™ B200 GPUs.
Synetic.ai needed high-performance GPU infrastructure to train computer vision models using physics-accurate synthetic data. Large-scale simulations demanded low-latency, globally distributed compute and predictable costs without hyperscaler complexity.
They deployed Vultr Bare Metal GPU servers with NVIDIA HGX B200 GPUs, enabling distributed simulation pipelines, rapid model iteration, and scalable training across various applications, including defense, robotics, agriculture, healthcare, and manufacturing.
