NVIDIA B200 vs NVIDIA RTX 6000D Comparison

The comparison between the NVIDIA B200 and the NVIDIA RTX 6000D is a study in contrasting design philosophies from the same manufacturer. The B200 is a massive, power-hungry compute accelerator built for the highest-end server workloads, while the RTX 6000D is a more accessible professional workstation card that pairs substantial compute with display outputs. Benchmark data reveals that the latter holds a surprising edge in at least one general-purpose compute test, while the former dominates in raw memory capacity and bandwidth. The choice between them depends entirely on whether the workload requires massive memory throughput or versatile, high-frequency compute in a more manageable form factor.

Head-to-Head Benchmarks

The only direct benchmark comparison available in the data is the Geekbench OpenCL test, which measures general-purpose compute performance across a wide range of tasks. In this test, the NVIDIA RTX 6000D scores 388,405, while the NVIDIA B200 scores 345,482. This gives the RTX 6000D a clear win with an 11.1% delta in its favor. This is a notable result, as it indicates that for applications that rely on standard GPGPU compute (FP32 workloads), the higher clock speeds and larger shader count of the RTX 6000D can overcome the B200's architectural advantages in other areas. The RTX 6000D's impressive average benchmark score of 195,964 places it in the 98th percentile of all GPUs, while the B200 sits at the 100th percentile, but the B200's average score is entirely based on that single OpenCL result.

Looking at the competitive landscape, the B200's performance is closely matched with other data-center accelerators. Its nearest rival, the NVIDIA H200 NVL, scores 334,891, which is just 3.2% lower. However, the NVIDIA B300 SXM6 AC, a newer sibling, scores 369,831, placing it 6.6% ahead of the B200. The AMD Instinct MI300X trails by 8.6% with a score of 317,994, and the NVIDIA L40S is 16.8% behind at 295,763. These figures show that the B200 is a formidable compute part, but not the absolute peak of the server GPU hierarchy.

The RTX 6000D's rival comparisons tell a different story, as its average benchmark score is dragged down by the inclusion of the 3DMark Steel Nomad DX12 test, which is not a typical workload for the B200. Its nearest rival is the NVIDIA Tesla V100S PCIe 32 GB, which scores 194,415, a negligible 0.8% difference. The NVIDIA A100 SXM4 40 GB is 4.7% behind, while the NVIDIA RTX 5000 Ada Generation trails by 6.1%. Interestingly, the NVIDIA A100 PCIe 80 GB outperforms the RTX 6000D by 5.4% in this average, despite the RTX 6000D winning the OpenCL test. This highlights the disconnect between the professional graphics card's strong OpenCL showing and its mixed overall average.

Where Each One Wins

The benchmark data clearly indicates that the RTX 6000D is the winner in the single available head-to-head compute test. This suggests it is the better choice for tasks that rely heavily on FP32 compute performance, such as real-time rendering, simulation, and certain AI inference workloads that do not require enormous memory capacity. Its higher boost clock of 2430 MHz, compared to the B200's 1965 MHz, and its larger number of shading units (19,968 vs. 18,944) are likely contributing factors to this win. Moreover, the RTX 6000D is the only one of the two with display outputs, making it suitable for workstation use where visual output is necessary.

The B200's wins are not in raw compute throughput but in memory and bandwidth. Its 90 GB of HBM3e memory dwarfs the RTX 6000D's 84 GB of GDDR7, and the B200's memory bandwidth of 4.10 TB/s is nearly three times higher than the RTX 6000D's 1.40 TB/s. This makes the B200 the clear choice for massive language model training, large-scale scientific simulations, and other memory-bound workloads where the entire dataset must reside in fast memory. The B200 also has a higher FP16 performance rating of 1,191.2 TFLOPS, but this is achieved via a 16:1 ratio, indicating it is specialized for tensor operations rather than general FP16 compute.

Architecture Differences

The two GPUs are based on different revisions of NVIDIA's Blackwell architecture. The B200 uses the GB100 chip, built on the original Blackwell architecture, while the RTX 6000D uses the GB202 chip, which is labeled Blackwell 2.0. Both are manufactured on a 5 nm process at TSMC, but the die sizes and transistor counts differ significantly. The B200's GB100 chip packs 104,000 million transistors, while the RTX 6000D's GB202 chip contains 92,200 million transistors. The RTX 6000D also has a specified die size of 750 mm², resulting in a transistor density of 122.9M per mm², whereas the B200's die size is not listed.

The memory subsystems could not be more different. The B200 is equipped with 90 GB of HBM3e on a 4096-bit bus, delivering a massive 4.10 TB/s of bandwidth. The RTX 6000D uses 84 GB of GDDR7 on a 448-bit bus, providing 1.40 TB/s of bandwidth. This difference dictates the workloads each can handle. The core configurations also show distinct priorities: the B200 has 592 TMUs and 24 ROPs, while the RTX 6000D has 624 TMUs and 192 ROPs. The RTX 6000D's much higher ROP count directly contributes to its pixel rate of 466.6 GPixel/s, compared to the B200's 47.16 GPixel/s, making it far more capable for graphics output. The RTX 6000D also features 156 dedicated RT cores, a detail not specified for the B200, which may indicate a focus on ray tracing, and it supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the B200 has no listed API support.

FAQ

Q: Which GPU is faster in the Geekbench OpenCL benchmark?

A: The NVIDIA RTX 6000D is faster, scoring 388,405 compared to the NVIDIA B200's 345,482, a difference of 11.1% in favor of the RTX 6000D.

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

A: The B200 scores 345,482, which is 3.2% higher than the H200 NVL's score of 334,891. However, the B300 SXM6 AC is 6.6% ahead of the B200.

Q: What is the performance difference between the RTX 6000D and the NVIDIA A100 SXM4 40 GB?

A: The RTX 6000D has an average benchmark score of 195,964, which is 4.7% higher than the A100 SXM4 40 GB's score of 187,147.

Q: Which card has more memory bandwidth?

A: The NVIDIA B200 has significantly more memory bandwidth at 4.10 TB/s, while the NVIDIA RTX 6000D has 1.40 TB/s.

Q: Does the NVIDIA B200 support display outputs?

A: No, the B200 has no display outputs. The RTX 6000D, in contrast, features 4x DisplayPort 2.1b.

Q: What is the launch MSRP of the RTX 6000D?

A: The launch MSRP of the RTX 6000D is 8,565 USD.

The Verdict

The data points to a clear decision matrix. If the workload is dominated by memory capacity and bandwidth, the NVIDIA B200 is the only choice. Its 90 GB of HBM3e and 4.10 TB/s bandwidth are superior to the RTX 6000D's 84 GB and 1.40 TB/s. This makes the B200 the better option for training large AI models, processing massive datasets, and handling complex scientific computing tasks that are otherwise bottlenecked by memory access.

Conversely, if the tasks are more diverse and require strong FP32 compute, graphics output, and standard workstation features, the NVIDIA RTX 6000D is the superior product. Its 11.1% lead in the only head-to-head benchmark, combined with its display outputs, higher pixel rate, and support for modern graphics APIs, makes it a far more flexible and practical tool for a professional workstation environment. It delivers a higher FP32 performance of 97.04 TFLOPS compared to the B200's 74.45 TFLOPS, and its higher ROP count confirms its graphics-focused design.

The B200 is a specialized server accelerator, a tool for a specific set of high-performance computing problems. The RTX 6000D is a generalist professional GPU that can handle compute, rendering, and display tasks. A data center operator with a memory-bound AI workload should choose the B200. A professional user in a workstation setting, or an organization needing one GPU for a variety of tasks, should choose the RTX 6000D.

Specification Differences

| Specification | NVIDIA B200 | NVIDIA RTX 6000D |

| :--- | :--- | :--- |

| Architecture | Blackwell | Blackwell 2.0 |

| Chip | GB100 | GB202 |

| Transistors | 104,000 million | 92,200 million |

| Die Size | Not specified | 750 mm² |

| Base Clock | 700 MHz | 1992 MHz |

| Boost Clock | 1965 MHz | 2430 MHz |

| Memory Size | 90 GB | 84 GB |

| Memory Type | HBM3e | GDDR7 |

| Memory Bus Width | 4096 bit | 448 bit |

| Memory Bandwidth | 4.10 TB/s | 1.40 TB/s |

| Shading Units | 18,944 | 19,968 |

| TMUs | 592 | 624 |

| ROPs | 24 | 192 |

| RT Cores | Not specified | 156 |

| FP32 Performance | 74.45 TFLOPS | 97.04 TFLOPS |

| FP16 Performance | 1,191.2 TFLOPS (16:1) | 97.04 TFLOPS (1:1) |

| TDP | 1000 W | 600 W |

| Slot Width | SXM Module | Dual-slot |

| Power Connectors | Not specified | 1x 16-pin |

| Display Outputs | No outputs | 4x DisplayPort 2.1b |

| API Support | Not specified | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4 |