NVIDIA B200 vs NVIDIA L4 Comparison

The Verdict

The NVIDIA B200 and NVIDIA L4 occupy opposite extremes of the server accelerator spectrum, and the recorded data makes the choice straightforward for most workloads. The B200 delivers a Geekbench OpenCL score of 345,482, which is 145.3% higher than the L4's 140,838 in the same test. That places the B200 in the 100th percentile of all GPUs in the database, while the L4 sits at the 95th percentile. The B200 is a flagship compute accelerator designed for maximum throughput. The L4 is a low-power, compact inference and edge-oriented card. Buyers should choose the B200 when raw compute density is the priority and power delivery is not a constraint. The L4 is the sensible pick for environments with limited physical space and thermal headroom, where its 72 W power draw and single-slot form factor offer deployment flexibility that the B200 cannot match.

The benchmark gap is enormous, but the use cases barely overlap. The B200's nearest rivals include the NVIDIA B300 SXM6 AC at 369,831, which is 6.6% ahead, and the NVIDIA H200 NVL at 334,891, which trails by 3.2%. The L4's nearest rivals are dramatically closer in score: the NVIDIA GeForce RTX 3090 Ti at 131,938 is only 0.7% ahead, the NVIDIA RTX 4000 Ada Generation at 135,218 is 3.1% ahead, and the AMD Radeon PRO W6800 at 135,396 is 3.2% ahead. The L4 is not a performance monster; it is a balanced, efficient workhorse. The B200 is a compute behemoth. The data indicates that these two products should rarely appear on the same shortlist.

Architecture Differences

The B200 uses the GB100 chip built on the Blackwell architecture, fabricated by TSMC on a 5 nm process. It packs 104,000 million transistors. The L4 uses the AD104 chip built on the Ada Lovelace architecture, also on TSMC's 5 nm node, but with 35,800 million transistors. The transistor count difference is substantial: the B200 integrates nearly three times as many transistors as the L4, which explains much of the performance chasm.

Memory architecture differs fundamentally. The B200 carries 90 GB of HBM3e across a 4096-bit bus, delivering 4.10 TB/s of bandwidth. The L4 uses 24 GB of GDDR6 on a 192-bit bus, yielding 300.1 GB/s. That is a 13.7x bandwidth advantage for the B200, a figure that matters enormously for large model inference and training workloads that are memory-bandwidth bound. The B200's memory clock is listed at 2000 MHz with 8 Gbps effective data rate, while the L4 runs at 1563 MHz with 12.5 Gbps effective.

Compute resources diverge sharply. The B200 has 18,944 shading units, 592 TMUs, 24 ROPs, and 592 tensor cores. The L4 has 7,424 shading units, 240 TMUs, 80 ROPs, 60 ray tracing cores, and 240 tensor cores. Interestingly, the B200 has no listed ray tracing cores, while the L4 does. The L4 also exposes DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 APIs, whereas the B200 lists none. The B200's FP32 throughput is 74.45 TFLOPS, and its FP16 throughput is 1,191.2 TFLOPS with a 16:1 ratio. The L4 delivers 30.29 TFLOPS in both FP32 and FP16 with a 1:1 ratio. The FP16 disparity is particularly stark: the B200 offers nearly 40 times the FP16 compute, which is critical for AI training and mixed-precision workloads.

Head-to-Head Benchmarks

Only one head-to-head benchmark is recorded: Geekbench OpenCL. The B200 scores 345,482 against the L4's 140,838, a delta of 145.3% in favor of the B200. That is a massive single-test margin, but it is consistent with the architectural differences. The B200 also surpasses its own direct predecessor lineage, the Server Hopper family, and sits just 6.6% behind the newer B300 SXM6 AC. The L4, by contrast, is only 0.7% behind the GeForce RTX 3090 Ti in average score, indicating that despite its low power envelope, it competes with desktop flagship-class hardware from a generation prior.

The B200's average benchmark score is 345,482, which equals its OpenCL score since only one test is recorded. The L4's average is 131,072, pulled down by its Vulkan score of 121,306 compared to its OpenCL score of 140,838. This suggests the L4 performs slightly better under OpenCL than under Vulkan, a detail that may matter for specific software stacks. The B200 has no Vulkan result in the database, so no cross-API comparison is possible for the flagship.

In relative terms, the B200 is 8.6% ahead of the AMD Instinct MI300X and 16.8% ahead of the NVIDIA L40S. The L4's closest rival is the RTX 3090 Ti at a 0.7% deficit, and it trails the RTX 4000 Ada Generation by 3.1%. The L4's positioning among these mid-range and previous-generation cards shows that it is not designed to lead performance charts; it is designed to deliver adequate compute at minimal power and size.

Specification Differences

The B200 and L4 differ across nearly every recorded specification. The B200 is a 1000 W SXM Module, while the L4 is a 72 W single-slot card. The B200 lists a suggested PSU of 1400 W, whereas the L4 lists 250 W. The B200 uses a PCIe 5.0 x16 interface; the L4 uses PCIe 4.0 x16. Both have no display outputs.

Clock speeds differ in interesting ways. The B200 has a base clock of 700 MHz and a boost clock of 1965 MHz. The L4 has a base clock of 795 MHz and a boost of 2040 MHz. The L4 actually runs at higher clocks, but the B200 compensates with far more compute units and memory bandwidth.

Memory capacity and type are major differentiators. The B200 has 90 GB of HBM3e, while the L4 has 24 GB of GDDR6. The bus widths are 4096 bit versus 192 bit. The B200's 4.10 TB/s bandwidth dwarfs the L4's 300.1 GB/s. Pixel and texture rates also diverge: the B200 delivers 47.16 GPixel/s and 1,163.3 GTexel/s, while the L4 delivers 163.2 GPixel/s and 489.6 GTexel/s. The L4 actually has a higher pixel rate due to its 80 ROPs compared to the B200's 24 ROPs, a curious inversion that suggests the B200 is not optimized for rasterization-style workloads.

The L4 has a recorded die size of 294 mm² and a transistor density of 121.8M per mm². The B200 has no die size listed. The L4 measures 169 mm in length and 56 mm in height. The B200 has no dimensions recorded. The L4 has a release date of 2023-03-20, while the B200 has no release date in the database. Both are marked as Active in production status. The B200's predecessor is Server Hopper and its successor is Server Rubin. The L4's predecessor is Server Ampere and its successor is Server Hopper.

FAQ

Q: Which GPU has the higher raw compute performance?

A: The B200. Its Geekbench OpenCL score of 345,482 is 145.3% higher than the L4's 140,838. The B200 also delivers 74.45 TFLOPS FP32 and 1,191.2 TFLOPS FP16, compared to the L4's 30.29 TFLOPS in both FP32 and FP16.

Q: Which GPU is more power-efficient?

A: The L4. It draws 72 W and requires a 250 W suggested PSU, while the B200 draws 1000 W and requires a 1400 W suggested PSU. The L4's low power draw enables its single-slot form factor and passive cooling approach.

Q: How do their memory subsystems compare?

A: The B200 has 90 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The L4 has 24 GB of GDDR6 on a 192-bit bus with 300.1 GB/s bandwidth. The B200's bandwidth is roughly 13.7 times higher.

Q: Which GPU is better for AI workloads?

A: The B200, based on tensor core count and FP16 throughput. The B200 has 592 tensor cores and 1,191.2 TFLOPS FP16, while the L4 has 240 tensor cores and 30.29 TFLOPS FP16. The B200's larger memory capacity also supports larger model footprints.

Q: Can the L4 fit in more server configurations?

A: Yes. The L4 is a single-slot card with no external power connectors, a 72 W TDP, and a 250 W suggested PSU. The B200 is an SXM Module with a 1000 W TDP and a 1400 W suggested PSU, requiring a specialized chassis and power delivery system.

Q: How does each GPU compare to its nearest rivals?

A: The B200 is 3.2% ahead of the NVIDIA H200 NVL, 8.6% ahead of the AMD Instinct MI300X, and 16.8% ahead of the NVIDIA L40S, while trailing the NVIDIA B300 SXM6 AC by 6.6%. The L4 is 0.7% behind the GeForce RTX 3090 Ti, 3.1% behind the RTX 4000 Ada Generation, and 3.2% behind the AMD Radeon PRO W6800.

Where Each One Wins

The B200 wins decisively in raw compute. Its OpenCL score of 345,482 places it in the 100th percentile of all GPUs, and its FP16 throughput of 1,191.2 TFLOPS makes it a clear choice for large-scale AI training and inference. The 90 GB HBM3e memory pool with 4.10 TB/s bandwidth supports model sizes that the L4 cannot approach. The B200 is also the better choice for multi-GPU scale-out deployments, as its SXM Module form factor and PCIe 5.0 interface are designed for dense accelerator nodes. It is 8.6% ahead of the AMD Instinct MI300X and 16.8% ahead of the NVIDIA L40S, cementing its position at the top of the compute hierarchy.

The L4 wins in deployment flexibility. Its 72 W TDP, single-slot design, and lack of external power connectors mean it can be installed in far more server chassis than the B200. The 250 W suggested PSU requirement is trivial compared to the B200's 1400 W. The L4 also has a higher pixel rate at 163.2 GPixel/s versus the B200's 47.16 GPixel/s, and it includes 60 ray tracing cores, which the B200 does not list. The L4's support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 gives it broader API compatibility for graphics-adjacent workloads. Its average benchmark score of 131,072 places it near the GeForce RTX 3090 Ti, meaning it offers respectable compute in a fraction of the power envelope.

The B200 is the winner for anyone who needs maximum throughput regardless of power and physical constraints. The L4 is the winner for anyone who needs capable compute in constrained environments, where its performance per watt and small footprint outweigh its 145.3% deficit in raw Geekbench OpenCL performance. Neither card is a substitute for the other; they solve different problems. The data shows that the B200 is a compute flagship, while the L4 is an efficiency specialist.