NVIDIA B200 vs NVIDIA GeForce RTX 4090 D Comparison

The NVIDIA B200 and the NVIDIA GeForce RTX 4090 D represent two distinct poles of NVIDIA’s current lineup: the former is a server-grade Blackwell accelerator engineered for maximum data-center throughput, while the latter is a consumer-facing Ada Lovelace graphics card. The data shows a single direct head-to-head benchmark, but the surrounding specifications and rival comparisons tell a clear story of specialization. The B200 sits at the 100th percentile of all GPUs with an average benchmark score of 345,482, while the RTX 4090 D holds the 98th percentile with an average score of 178,050. These are not competing products; they are tools for different jobs, and the benchmark results underscore that division.

Where Each One Wins

The NVIDIA B200 wins decisively in raw compute throughput and memory bandwidth. In the only direct comparison available, the Geekbench OpenCL test, the B200 scores 345,482 against the RTX 4090 D’s 278,621, a 24% advantage. This margin is consistent with the B200’s positioning as a server accelerator: it leads its nearest rivals by 3.2% over the NVIDIA H200 NVL, 8.6% over the AMD Instinct MI300X, and 16.8% over the NVIDIA L40S. The only GPU ahead of it in the rival list is the NVIDIA B300 SXM6 AC, which beats it by 6.6%. For workloads that scale with raw FP32 and FP16 compute, the B200’s 74.45 TFLOPS and 1,191.2 TFLOPS (16:1) respectively provide a massive ceiling.

The RTX 4090 D wins where consumer graphics matter: rasterization, ray tracing, and display output. Its 443.5 GPixel/s pixel rate dwarfs the B200’s 47.16 GPixel/s, and its 114 RT cores provide dedicated hardware for ray-traced workloads. The card supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the B200 lists no graphics APIs. The 4090 D also offers display outputs (1x HDMI 2.1, 3x DisplayPort 1.4a), whereas the B200 has no outputs. In the Geekbench Vulkan test, the 4090 D scores 246,941, a figure that, while lower than its OpenCL result, confirms its viability for graphics-heavy tasks. The 4090 D’s nearest rivals all sit within a narrow band—it trails the RTX PRO 5000 Blackwell by 2.2%, the A100 SXM4 80 GB by 3.1%, the RTX 5000 Ada Generation by 3.6%, and the A100 SXM4 40 GB by 4.9%—suggesting it is firmly planted in the upper tier of consumer and prosumer GPUs.

Architecture Differences

The two cards are built on different architectures, nodes, and memory technologies. The B200 uses the GB100 chip on NVIDIA’s Blackwell architecture, fabricated on a 5 nm process at TSMC. It packs 104,000 million transistors, though its die size is not listed. The RTX 4090 D uses the AD102 chip on the Ada Lovelace architecture, also on a 5 nm process, with 76,300 million transistors across a 609 mm² die. The B200’s transistor count is 36% higher, but the 4090 D’s die size reveals a density of 125.3M transistors per mm².

Memory is where the gap becomes functional. The B200 carries 90 GB of HBM3e across a 4096-bit bus, delivering 4.10 TB/s of bandwidth. The 4090 D has 24 GB of GDDR6X on a 384-bit bus, with 1.01 TB/s. That 4x bandwidth advantage for the B200 is critical for large model inference and data-heavy server tasks. The B200’s memory clock runs at 2000 MHz (8 Gbps effective), while the 4090 D’s runs at 1313 MHz (21 Gbps effective)—the latter’s higher effective speed per pin does little to close the bus-width gap.

Compute resources also differ sharply. The B200 has 18,944 shading units, 592 TMUs, and 24 ROPs, while the 4090 D has 14,592 shading units, 456 TMUs, and 176 ROPs. The B200 has more shaders and TMUs, but the 4090 D has 7.3x more ROPs, which explains its pixel-rate advantage. Both have 592 and 456 tensor cores respectively, but the B200’s FP16 throughput of 1,191.2 TFLOPS (16:1) versus the 4090 D’s 73.54 TFLOPS (1:1) highlights a fundamentally different design philosophy: the B200 sacrifices graphics features for raw tensor math.

Power and physical design reinforce the split. The B200 is an SXM Module with a 1000 W TDP and a suggested PSU of 1400 W. The 4090 D is a triple-slot card with a 425 W TDP and an 800 W suggested PSU, powered by a single 16-pin connector. The B200 uses PCIe 5.0 x16, while the 4090 D uses PCIe 4.0 x16. The 4090 D’s dimensions are listed at 304 mm x 137 mm x 61 mm, while the B200’s are not specified. The B200 is active in production, whereas the 4090 D is end-of-life, having launched on 2023-12-27.

Head-to-Head Benchmarks

The sole direct benchmark is Geekbench OpenCL, and it is a decisive win for the B200. The B200 scores 345,482 against the RTX 4090 D’s 278,621, a 24% delta. This is not a close race. The B200’s score places it at the 100th percentile of all GPUs, while the 4090 D’s OpenCL score would sit lower than its own average benchmark score of 178,050, which includes its 3DMark Steel Nomad DX12 result of 8,587 and Geekbench Vulkan score of 246,941.

The delta of 24% is consistent with the B200’s lead over its own rivals. It beats the H200 NVL by 3.2%, the MI300X by 8.6%, and the L40S by 16.8%. The 4090 D, by contrast, is within 5% of its nearest rivals (RTX PRO 5000 Blackwell at -2.2%, A100 SXM4 80 GB at -3.1%, RTX 5000 Ada Generation at -3.6%, and A100 SXM4 40 GB at -4.9%). The 4090 D’s OpenCL score of 278,621 is higher than its average benchmark score, suggesting it performs better in compute workloads than in graphics-specific tests like 3DMark Steel Nomad DX12.

The B200’s FP32 performance of 74.45 TFLOPS is nearly identical to the 4090 D’s 73.54 TFLOPS, yet the B200 wins by 24% in OpenCL. This discrepancy points to memory bandwidth and driver optimization: the B200’s 4.10 TB/s bandwidth versus 1.01 TB/s for the 4090 D likely prevents memory-bound stalls. The B200’s texture rate of 1,163.3 GTexel/s also edges out the 4090 D’s 1,149.1 GTexel/s, though the 4090 D’s pixel rate of 443.5 GPixel/s versus 47.16 GPixel/s shows where the B200 sacrifices for its server role.

FAQ

Q: Which GPU has higher raw compute performance in OpenCL?

A: The NVIDIA B200 scores 345,482 in Geekbench OpenCL, which is 24% higher than the RTX 4090 D’s 278,621.

Q: How does the memory configuration differ between the two cards?

A: The B200 has 90 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The RTX 4090 D has 24 GB of GDDR6X on a 384-bit bus with 1.01 TB/s bandwidth.

Q: Can the RTX 4090 D handle graphics APIs that the B200 cannot?

A: Yes. The RTX 4090 D supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the B200 lists no graphics APIs and has no display outputs.

Q: What is the power consumption difference?

A: The B200 has a TDP of 1000 W with a suggested PSU of 1400 W. The RTX 4090 D has a TDP of 425 W with a suggested PSU of 800 W.

Q: How does the B200 compare to its closest rival, the NVIDIA B300 SXM6 AC?

A: The B200 scores 345,482, which is 6.6% lower than the B300 SXM6 AC’s average score of 369,831.

Q: What is the production status of each card?

A: The B200 is listed as active in production, while the RTX 4090 D is marked as end-of-life.

The Verdict

The data points to a clear split: choose the NVIDIA B200 for compute-bound server workloads, and the NVIDIA GeForce RTX 4090 D for graphics and client-side tasks. The B200’s 24% lead in OpenCL, 4.10 TB/s memory bandwidth, and 90 GB of HBM3e make it the obvious choice for large-scale inference, scientific computing, or any task where memory capacity and bandwidth are the bottlenecks. Its 100th percentile ranking and 3.2% lead over the H200 NVL confirm it is near the top of the server stack, with only the B300 SXM6 AC ahead of it by 6.6%.

The RTX 4090 D wins on every graphics-specific metric that the FACT PACK lists. Its 443.5 GPixel/s pixel rate, 114 RT cores, and support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 make it a functional graphics card, unlike the B200’s no-output design. Its 176 ROPs versus the B200’s 24 ROPs is a 7.3x difference that directly impacts rasterization. The 4090 D sits at the 98th percentile and within 5% of its nearest rivals, making it a strong, if not class-leading, consumer option. Its end-of-life status and 1,599 USD launch MSRP are worth noting, but the performance data stands on its own.

If the workload is FP32 or FP16 tensor math at scale, the B200’s 74.45 TFLOPS and 1,191.2 TFLOPS (16:1) are unmatched by the 4090 D’s 73.54 TFLOPS (1:1). If the workload involves rendering, ray tracing, or any visual output, the 4090 D is the only viable choice. There is no overlap in their intended use cases, and the benchmark data reflects that. The B200 is the server workhorse; the 4090 D is the graphics card. Pick accordingly.