NVIDIA B200 vs NVIDIA Tesla V100S PCIe 32 GB Comparison

The NVIDIA B200 and NVIDIA Tesla V100S PCIe 32 GB represent two distinct eras of NVIDIA’s server GPU lineup. The B200, built on the Blackwell architecture, is an active, high-capacity compute module, while the V100S is an end-of-life Volta-generation dual-slot card. The benchmark data shows a decisive performance gap, but the architectural and specification differences explain why these parts target completely different workloads.

Head-to-Head Benchmarks

The sole head-to-head benchmark available is the Geekbench OpenCL test, and the results are not close. The NVIDIA B200 scores 345,482, while the NVIDIA Tesla V100S PCIe 32 GB scores 194,415. This yields a delta of 77.7% in favor of the B200, making it the winner of the single comparison.

To contextualize the B200’s score, its nearest rivals include the NVIDIA H200 NVL at 334,891 (3.2% slower), the NVIDIA B300 SXM6 AC at 369,831 (6.6% faster), the AMD Instinct MI300X at 317,994 (8.6% slower), and the NVIDIA L40S at 295,763 (16.8% slower). The B200 sits firmly in the upper echelon of current server accelerators, trailing only the newer B300 in this immediate cluster.

For the V100S, its score of 194,415 places it in the 98th percentile of all GPUs, which is still impressive for a 2019 product. Its nearest rivals are the NVIDIA RTX 6000D at 195,964 (0.8% faster), the NVIDIA A100 SXM4 40 GB at 187,147 (3.9% slower), the NVIDIA RTX 5000 Ada Generation at 184,664 (5.3% slower), and the NVIDIA A100 SXM4 80 GB at 183,725 (5.8% slower). The V100S is essentially neck-and-neck with the RTX 6000D, while maintaining a slight edge over the A100 variants. However, it trails the B200 by a substantial margin.

The deltaPct of 77.7% is the headline figure. This is not a marginal improvement; it is a generational leap. The B200’s raw OpenCL score is nearly 1.8 times that of the older card.

Where Each One Wins

The B200 wins the only benchmark test (OpenCL) with a 77.7% advantage. This indicates a clear win in general compute throughput, as measured by that specific workload. The B200’s architecture is designed for maximum parallel processing, and the data confirms its dominance in this synthetic test.

The V100S wins zero head-to-head benchmark tests. However, its win condition lies elsewhere. The data shows it is an end-of-life product, meaning its primary advantage is availability in legacy systems. For workloads that rely on older software stacks or specific PCIe 3.0 integration, the V100S remains a functional, if slower, option. Its 98th percentile ranking indicates it is still a capable performer when compared to the entire GPU landscape, but it is not competitive with the B200 in raw performance.

The B200 is the clear winner for any new deployment where performance is the sole criterion. The V100S, with its lower power draw and dual-slot form factor, might be the only choice in systems with physical or power constraints that cannot accommodate an SXM module. The B200’s 1000 W TDP and SXM Module slot width are significant deployment barriers, whereas the V100S’s 250 W TDP and dual-slot design are more flexible for retrofitting into existing servers.

Architecture Differences

The B200 is built on the Blackwell architecture with the GB100 chip, fabricated on a 5 nm process at TSMC. It packs 104,000 million transistors. The V100S, in contrast, uses the Volta architecture with the GV100 chip on a 12 nm process, containing 21,100 million transistors. This represents a massive transistor count difference, with the B200 holding roughly five times as many transistors as the V100S.

The process node difference is significant: 5 nm versus 12 nm. This allows the B200 to fit far more transistors into a similar power envelope (though its TDP is much higher). The V100S has a die size of 815 mm² and a transistor density of 25.9M per mm², while the B200’s die size is not listed, but its density is implicitly higher given the 5 nm node.

Compute resources differ drastically. The B200 has 18,944 shading units, 592 TMUs, and 24 ROPs. The V100S has 5,120 shading units, 320 TMUs, and 128 ROPs. While the B200 has fewer ROPs, its pixel rate is lower (47.16 GPixel/s vs 204.4 GPixel/s), but its texture rate is more than double (1,163.3 GTexel/s vs 511.0 GTexel/s). The B200’s FP32 throughput is 74.45 TFLOPS, compared to the V100S’s 16.35 TFLOPS.

Tensor core counts also differ: the B200 has 592 tensor cores, while the V100S has 640. Despite having fewer tensor cores, the B200’s FP16 performance is 1,191.2 TFLOPS (16:1 ratio), whereas the V100S produces 32.71 TFLOPS (2:1 ratio). This highlights a fundamental architectural shift in how tensor operations are executed.

Memory architecture is another major divergence. The B200 uses 90 GB of HBM3e with a 4096-bit bus and 4.10 TB/s bandwidth. The V100S uses 32 GB of HBM2 with the same 4096-bit bus but only 1.13 TB/s bandwidth. The B200 offers nearly three times the memory capacity and over 3.6 times the bandwidth.

Specification Differences

The two GPUs differ on nearly every measurable specification. The B200 has a base clock of 700 MHz and a boost clock of 1965 MHz, while the V100S operates at a higher base clock of 1245 MHz but a lower boost clock of 1597 MHz. Memory clocks differ as well: the B200 runs at 2000 MHz (8 Gbps effective), while the V100S runs at 1107 MHz (2.2 Gbps effective).

Memory size is a clear differentiator: 90 GB for the B200 versus 32 GB for the V100S. Memory type also differs (HBM3e vs HBM2). The B200’s bandwidth of 4.10 TB/s dwarfs the V100S’s 1.13 TB/s.

Power and physical specifications show the B200 as a 1000 W SXM Module, compared to the V100S’s 250 W dual-slot card that requires 2x 8-pin power connectors. The suggested PSU is 1400 W for the B200 and 600 W for the V100S. The B200 uses a PCIe 5.0 x16 interface, while the V100S uses PCIe 3.0 x16.

The B200 has no display outputs, and its API support (DirectX, OpenGL, Vulkan) is not listed, suggesting a compute-only focus. The V100S also has no display outputs but explicitly supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The B200 supports FP16 at a 16:1 ratio, while the V100S supports FP16 at a 2:1 ratio.

Production status differs: the B200 is Active, while the V100S is End-of-life. The B200’s predecessor is Server Hopper, and its successor is Server Rubin. The V100S’s predecessor is Tesla Pascal, and its successor is Tesla Turing.

FAQ

Q: How much faster is the NVIDIA B200 compared to the NVIDIA Tesla V100S PCIe 32 GB in OpenCL benchmarks?

A: The B200 scores 345,482, while the V100S scores 194,415, resulting in a 77.7% higher score for the B200.

Q: What is the memory capacity difference between the two GPUs?

A: The B200 has 90 GB of HBM3e memory, while the V100S has 32 GB of HBM2 memory.

Q: Which GPU has a higher transistor count?

A: The B200 has 104,000 million transistors, compared to the V100S’s 21,100 million transistors.

Q: Are there any benchmark tests where the Tesla V100S wins?

A: No. In the single head-to-head benchmark test (Geekbench OpenCL), the B200 wins with a 77.7% delta.

Q: What are the power consumption figures for each card?

A: The B200 has a TDP of 1000 W, while the V100S has a TDP of 250 W.

Q: How does the B200 compare to its closest rival, the NVIDIA H200 NVL?

A: The B200 is 3.2% faster than the H200 NVL, with scores of 345,482 and 334,891, respectively.