The 14-inch M5 Max model starts at $3,599 (or $3,299 for students), while the 16-inch size starts at $3,899 (or $3,599 for students). Both models have 2TB of base storage. They're aimed at "those pushing the absolute limits, such as engineers running rigorous simulations," Apple said.
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Most deep learning frameworks are built for flexibility. They handle dynamic graphs, varying batch sizes, and a multitude of layer types. Talos takes the opposite approach. It strips away the runtime, the scheduler, and the operating system overhead to expose the raw compute capability of the FPGA. By implementing the entire inference pipeline in SystemVerilog, we achieve deterministic, cycle-accurate control over every calculation.