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shoni.eth
@alexpaden
H100 vs Project DIGITS Specs: H100 ($25-40K, 80GB HBM3, 67 TFLOPS FP32); DIGITS ($3K, 128GB LPDDR5x, 1 PFLOPS FP4). Training: H100 for high-precision (FP32/FP16) and data-center scalability. Scaling: H100 to thousands, DIGITS to 2 nodes. Local AI: DIGITS for FP4 inference at 1/10th cost, desktop-friendly. Precision: FP4 boosts speed (needs accuracy checks), FP32 maintains precision.
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