B300 SXM6 vs L4

The B300 SXM6 achieves 2250 TFLOPS FP16 dense performance while the L4 reaches 121 TFLOPS FP16 dense performance. This gap means the B300 SXM6 completes matrix operations in training workloads at roughly 18 times the rate of the L4 when both figures remain dense. FP32 throughput stands at 75 TFLOPS for the B300 family versus 30.3 TFLOPS for the L4 family. Memory bandwidth of 8000 GB/s on the B300 line versus 300 GB/s on the L4 line permits substantially larger batch sizes during inference without swapping data to host memory. When sparsity is applied the B300 SXM6 reaches 4500 TFLOPS FP16 with sparsity compared with 242 TFLOPS FP16 with sparsity on the L4.

The B300 SXM6 variant suits large scale model training that requires 262 GB memory capacity and 2250 TFLOPS FP16 dense throughput. Its SXM6 form factor and NVLink interconnect support multi GPU scaling for scientific computing tasks that exceed 24 GB per accelerator. Workloads that demand 8000 GB/s memory bandwidth benefit directly from this configuration over the L4 PCIe option.

The L4 variant fits power constrained environments that operate within a 72 W TDP limit and require only 24 GB GDDR6 memory. Its PCIe 4.0 interface integrates easily into standard servers for lighter inference jobs that stay below 121 TFLOPS FP16 dense. Deployments that prioritize low thermal output over peak 2250 TFLOPS FP16 dense performance select this model.