B300 vs RTX 2000 Ada

The B300 delivers FP16 dense performance at 2250 TFLOPS compared with no published FP16 figure for the RTX 2000 Ada while FP32 figures stand at 75 TFLOPS for the B300 and 12 TFLOPS for the RTX 2000 Ada. This FP16 to FP32 ratio on the B300 supports training workloads that require high throughput in lower precision formats and inference workloads that can exploit the same dense 2250 TFLOPS FP16 rating. Memory bandwidth of 8000 GB/s on the B300 versus 224 GB/s on the RTX 2000 Ada directly influences achievable batch sizes with the higher figure permitting substantially larger batches in memory intensive operations. The B300 further lists FP8 dense performance at 4500 TFLOPS and FP8 with sparsity at 9000 TFLOPS against the RTX 2000 Ada FP8 with sparsity figure of 191.9 TFLOPS so comparisons must keep dense figures separate from sparse figures.

The B300 suits deployments that require 262 to 288 GB HBM3e memory and 8000 GB/s bandwidth together with dense FP16 performance rated at 2250 TFLOPS. Workloads that scale across NVLink interconnect and operate within a 1400W TDP envelope benefit from these specifications over alternatives with lower memory capacity and bandwidth.

The RTX 2000 Ada suits deployments that operate within a 70W TDP envelope and rely on PCIe 4.0 interconnect with 16 GB GDDR6 memory. Tasks that need only the published 12 TFLOPS FP32 rating and 191.9 TFLOPS FP8 with sparsity figure fit the lower power and simpler form factor constraints of this GPU.