B300 Offers 60% More Memory per GPU Than B200, But Not Faster Training Compute

NVIDIA's Blackwell Ultra B300 carries 288 GB of memory per GPU versus 180 GB on the B200, while FP8 throughput, memory bandwidth and NVLink bandwidth remain unchanged. A cloud pricing comparison lists the B300 at $6.943 per hour and the B200 at $5.50 per hour. Because of this gap, a B300 would need to finish a training job about 1.26 times faster to be the cheaper option. The analysis concludes the B300 mainly makes sense when its extra memory avoids adding a node or offloading to the CPU, or when training uses NVFP4. Its other improvements, such as faster FP4 and attention math, are seen as more relevant to inference than to typical training workloads.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in