L4 vs RTX PRO 6000 Blackwell

The L4 is built on the AD104 architecture (Ada Lovelace, TSMC 4N), while the RTX PRO 6000 Blackwell uses GB202 (Blackwell, TSMC 4NP). The RTX PRO 6000 Blackwell delivers 250 TFLOPS of FP16/BF16 throughput — 4.1× the 60.6 TFLOPS of the L4. The RTX PRO 6000 Blackwell adds FP8 support at 500 TFLOPS — roughly 2.0× its FP16 rate — enabling higher throughput for inference workloads that tolerate reduced precision. The L4 does not support FP8.

Memory capacity and bandwidth are the primary constraints for large language model workloads. The RTX PRO 6000 Blackwell provides 96GB of GDDR7 versus 24GB of GDDR6 on the L4. Memory bandwidth favors the RTX PRO 6000 Blackwell at 1.8 TB/s — 6.0× the 300 GB/s of the L4. The RTX PRO 6000 Blackwell supports NVLink at 112 GB/s bidirectional, enabling multi-GPU tensor parallelism; the L4 is PCIe-only with no VRAM pooling across cards.

Power consumption shapes rack density and operating cost. The L4 draws 72W TDP versus 300W for the RTX PRO 6000 Blackwell. On a TFLOPS-per-watt basis, the L4 is the more efficient option, delivering 61 TFLOPS at 72W.

The L4 is best suited for Efficient inference, Edge deployments, Low-power serving. The RTX PRO 6000 Blackwell targets Professional AI workloads, Large model inference, Workstation LLM serving. For models that exceed the smaller card's VRAM, the RTX PRO 6000 Blackwell's 96GB is the deciding factor — a 96GB card can hold roughly 48B parameters at FP16 or 192B at INT4.