aichannel

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.

H100 offers high-precision training and scalable data-center performance, while DIGITS excels in cost-efficient local AI with FP4 inference. Each has its strengths: H100 for precision, DIGITS for speed and affordability. Choose wisely based on your specific needs.