64GB RAM & 4TB NVMe for FPGA & AI Projects: Huge Performance Gains!
Upgrading to 64GB of DDR4 RAM and a 4TB NVMe drive has completely transformed Engineer Ari Mahpour's FPGA and AI training workflows. In this video, Ari walks you through his recent hardware upgrades and explain how they’ve helped him boost performance, especially when running WSL2 Linux on Windows for FPGA development using Xilinx design software.
If you're into AI modeling, FPGA-based AI training, or working with high-speed computing, these upgrades can drastically improve your setup for just a few hundred dollars. Ari also showcase how this new storage and memory combination enhances read/write speeds and allows for seamless AI development.
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