GPU-accelerated NVMe RAID storage for AI and HPC workloads
Graid Technology builds SupremeRAID, a GPU-based NVMe RAID system designed to eliminate CPU bottlenecks in high-performance storage. The stack—C/C++, Linux, Windows, GPU, PCIe, NVMe—reflects deep kernel and driver-level engineering. Hiring is accelerating across engineering, product, and sales, with active projects focused on low-level driver development and building a sales function from scratch, indicating transition from pure R&D into market expansion.
Graid Technology develops GPU-accelerated storage software for AI training, machine learning, HPC, and enterprise data environments. The core product, SupremeRAID, offloads RAID operations to GPU to maximize NVMe throughput. Founded in 2020 and headquartered in Santa Clara with an R&D center in Taiwan, the company operates in the 51–200 employee range. Current priorities include scaling the sales organization, establishing a partner ecosystem, and expanding into EMEA markets.
SupremeRAID is a GPU-based NVMe RAID system that eliminates CPU bottlenecks to maximize storage performance for AI training, machine learning, HPC, and enterprise data workloads.
Graid is headquartered in Santa Clara, California, with an R&D center in Taiwan. The company is hiring in the United States, Poland, and Taiwan.
Graid's stack centers on C/C++, Linux, Windows, GPU acceleration, NVMe, PCIe, and virtualization platforms (VMware ESXi, Hyper-V), with development tools including Git, WinDbg, and PerfMon.
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