NVIDIA B200 SXM6 vs NVIDIA GeForce RTX 4070 Max-Q Comparison

Head-to-Head Benchmarks

The recorded data contains no head-to-head benchmark entries for this pairing. The database shows zero wins for either the NVIDIA B200 SXM6 or the NVIDIA GeForce RTX 4070 Max-Q, and no comparative scores exist to evaluate. This absence of direct measurements means the analysis must rely entirely on the architectural specifications and performance indicators recorded for each part individually.

The B200 SXM6 delivers 69.34 TFLOPS of FP32 compute and 69.34 TFLOPS of FP16 compute, while the RTX 4070 Max-Q delivers 11.34 TFLOPS in both FP32 and FP16. The ratio between these figures indicates the server accelerator provides approximately six times the raw compute throughput of the mobile GPU, but without actual benchmark scores, this remains a theoretical comparison. The texture rate difference is even more pronounced: 1,083.4 GTexel/s for the B200 versus 177.1 GTexel/s for the RTX 4070 Max-Q, a factor of roughly six as well. However, the pixel rate tells a different story, with the RTX 4070 Max-Q achieving 59.04 GPixel/s compared to 43.92 GPixel/s for the B200, meaning the mobile part is about 34% ahead in rasterization throughput.

The memory subsystem shows the largest divergence. The B200 SXM6 uses 180 GB of HBM3e across an 8192-bit bus, producing 8.19 TB/s of bandwidth. The RTX 4070 Max-Q uses 8 GB of GDDR6 on a 128-bit bus, yielding 256.0 GB/s. The B200’s bandwidth advantage is roughly 32 times greater, reflecting the fundamentally different roles these products serve. Both parts share the same 2000 MHz memory clock, but effective data rates differ: 8 Gbps for the B200 versus 16 Gbps for the RTX 4070 Max-Q.

Architecture Differences

The B200 SXM6 is built on the GB100 chip using the Blackwell architecture, part of the Server Blackwell (Bxx) generation. The RTX 4070 Max-Q uses the AD106 chip with the Ada Lovelace architecture, belonging to the GeForce 40 Mobile generation. Both are manufactured by TSMC on a 5 nm process, though the transistor counts and die sizes differ drastically. The B200 integrates 208,000 million transistors on a 1628 mm² die, achieving a density of 127.8M transistors per mm². The RTX 4070 Max-Q contains 22,900 million transistors on a 188 mm² die, with a density of 121.8M per mm². The B200 effectively uses about nine times more silicon area and nearly ten times more transistors.

Shading unit counts reflect the compute disparity: the B200 has 18,944 shading units, 592 TMUs, and 24 ROPs. The RTX 4070 Max-Q has 4,608 shading units, 144 TMUs, and 48 ROPs. The B200 carries 592 tensor cores, while the RTX 4070 Max-Q has 144 tensor cores alongside 36 ray tracing cores. The RTX 4070 Max-Q includes dedicated RT cores; the B200’s RT core count is not recorded in the database. This indicates the mobile part is designed for graphics workloads with ray tracing support, while the server part prioritizes compute and AI acceleration.

Memory architecture reinforces the different design goals. The B200 uses HBM3e with a massive 8192-bit bus, while the RTX 4070 Max-Q uses GDDR6 with a 128-bit bus. Clock behavior also diverges substantially. The B200 has a base clock of 120 MHz and a boost clock of 1830 MHz. The RTX 4070 Max-Q has a base clock of 735 MHz and a boost clock of 1230 MHz. The B200’s extremely low base clock suggests aggressive power management for a part that can draw up to 1000 W, whereas the RTX 4070 Max-Q is constrained to 35 W, a 28.6 times lower power envelope.

API support separates the two completely. The B200 lists DirectX, OpenGL, and Vulkan as N/A, confirming it has no display outputs. The RTX 4070 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, with display outputs described as portable device dependent. The B200 uses PCIe 6.0 x16, while the RTX 4070 Max-Q uses PCIe 4.0 x8. The B200 is an SXM Module with a suggested PSU of 1400 W, whereas the RTX 4070 Max-Q is an IGP with no power connectors and no suggested PSU recorded.

The Verdict

The data indicates two products engineered for entirely separate domains. The B200 SXM6 is a server accelerator with 180 GB of HBM3e memory, 69.34 TFLOPS of FP32 compute, and an 8.19 TB/s memory bandwidth. Its 1000 W TDP and SXM Module form factor place it in data center racks, not consumer systems. The RTX 4070 Max-Q is a mobile GPU with 8 GB of GDDR6, 11.34 TFLOPS of FP32 compute, and 256.0 GB/s bandwidth, operating within a 35 W envelope as an integrated graphics package for laptops.

The B200’s compute advantage is approximately sixfold in FP32 and FP16, and its memory bandwidth is about 32 times higher. The RTX 4070 Max-Q counters with a 34% higher pixel rate, support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, plus 36 ray tracing cores. The B200 provides no display outputs and no graphics API support, making it unsuitable for any rendering or gaming workload. The RTX 4070 Max-Q cannot approach the B200’s memory capacity or bandwidth, making it irrelevant for large-scale AI training or inference tasks.

The database records a launch MSRP of 34,999 USD for the B200 SXM6; no launch MSRP exists for the RTX 4070 Max-Q. The release dates differ by roughly 21 months, with the RTX 4070 Max-Q appearing on 2023-01-02 and the B200 on 2024-10-31. Both parts remain in active production. The B200 succeeds Server Hopper and precedes Server Rubin, while the RTX 4070 Max-Q succeeds GeForce 30 Mobile and precedes GeForce 50 Mobile.

FAQ

Q: Which GPU has higher raw compute performance?

A: The B200 SXM6 delivers 69.34 TFLOPS in both FP32 and FP16, compared to 11.34 TFLOPS for the RTX 4070 Max-Q in both precisions, a difference of approximately six times.

Q: How does memory capacity compare between the two?

A: The B200 SXM6 has 180 GB of HBM3e memory, while the RTX 4070 Max-Q has 8 GB of GDDR6. The B200’s memory bandwidth is 8.19 TB/s versus 256.0 GB/s for the RTX 4070 Max-Q.

Q: Can the B200 SXM6 be used for gaming or graphics rendering?

A: No. The B200 SXM6 has no display outputs and lists DirectX, OpenGL, and Vulkan as N/A. The RTX 4070 Max-Q supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 with portable device dependent display outputs.

Q: What are the power requirements for each part?

A: The B200 SXM6 has a TDP of 1000 W and a suggested PSU of 1400 W. The RTX 4070 Max-Q has a TDP of 35 W, uses no power connectors, and has no suggested PSU recorded.

Q: Which part has ray tracing support?

A: The RTX 4070 Max-Q includes 36 ray tracing cores. The B200 SXM6 does not have a recorded RT core count in the database.

Q: What are the transistor counts and die sizes?

A: The B200 SXM6 uses 208,000 million transistors on a 1628 mm² die, while the RTX 4070 Max-Q uses 22,900 million transistors on a 188 mm² die.

Where Each One Wins

The B200 SXM6 dominates in memory capacity, memory bandwidth, compute throughput, and transistor resources. Its 180 GB HBM3e frame buffer enables datasets that would never fit in the RTX 4070 Max-Q’s 8 GB GDDR6 allocation. The 8.19 TB/s bandwidth supports massive parallel data movement, while the 69.34 TFLOPS FP32 and FP16 rates handle dense matrix operations. The 592 tensor cores on the B200, compared to 144 on the RTX 4070 Max-Q, indicate stronger AI acceleration capabilities. The B200 also uses a wider PCIe 6.0 x16 interface versus PCIe 4.0 x8, allowing faster host communication.

The RTX 4070 Max-Q wins in pixel throughput, producing 59.04 GPixel/s against the B200’s 43.92 GPixel/s. This advantage, combined with 36 ray tracing cores and full graphics API support, makes it suitable for rendering workloads. The mobile part also operates at 35 W, a fraction of the B200’s 1000 W envelope, enabling deployment in portable devices. The RTX 4070 Max-Q’s higher base clock of 735 MHz versus 120 MHz suggests better efficiency at low utilization, and its 48 ROPs double the B200’s 24, improving fill-rate-bound scenarios. The RTX 4070 Max-Q’s 256.0 GB/s bandwidth, while far smaller, is adequate for its 8 GB frame buffer and mobile resolution targets.

The B200’s 127.8M transistors per mm² density slightly exceeds the RTX 4070 Max-Q’s 121.8M, indicating more efficient use of silicon area. Both parts use the same 5 nm TSMC process, so architectural choices explain the density difference. The B200’s boost clock of 1830 MHz exceeds the RTX 4070 Max-Q’s 1230 MHz, but the B200 requires enormous power to sustain it. The RTX 4070 Max-Q’s 16 Gbps effective memory rate doubles the B200’s 8 Gbps, though the B200 compensates with a 64 times wider bus.

Specification Differences

| Specification | NVIDIA B200 SXM6 | NVIDIA GeForce RTX 4070 Max-Q |

|---|---|---|

| Chip | GB100 | AD106 |

| Architecture | Blackwell | Ada Lovelace |

| Generation | Server Blackwell (Bxx) | GeForce 40 Mobile |

| Transistors | 208,000 million | 22,900 million |

| Die Size | 1628 mm² | 188 mm² |

| Transistor Density | 127.8M / mm² | 121.8M / mm² |

| Base Clock | 120 MHz | 735 MHz |

| Boost Clock | 1830 MHz | 1230 MHz |

| Memory Size | 180 GB | 8 GB |

| Memory Type | HBM3e | GDDR6 |

| Memory Bus | 8192 bit | 128 bit |

| Memory Bandwidth | 8.19 TB/s | 256.0 GB/s |

| Memory Effective Rate | 8 Gbps | 16 Gbps |

| Shading Units | 18,944 | 4,608 |

| TMUs | 592 | 144 |

| ROPs | 24 | 48 |

| Tensor Cores | 592 | 144 |

| RT Cores | Not recorded | 36 |

| FP32 Compute | 69.34 TFLOPS | 11.34 TFLOPS |

| FP16 Compute | 69.34 TFLOPS (1:1) | 11.34 TFLOPS (1:1) |

| Pixel Rate | 43.92 GPixel/s | 59.04 GPixel/s |

| Texture Rate | 1,083.4 GTexel/s | 177.1 GTexel/s |

| TDP | 1000 W | 35 W |

| Slot Width | SXM Module | IGP |

| Power Connectors | Not recorded | None |

| Suggested PSU | 1400 W | Not recorded |

| Bus Interface | PCIe 6.0 x16 | PCIe 4.0 x8 |

| Display Outputs | No outputs | Portable Device Dependent |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Release Date | 2024-10-31 | 2023-01-02 |

| Predecessor | Server Hopper | GeForce 30 Mobile |

| Successor | Server Rubin | GeForce 50 Mobile |

| Launch MSRP | 34,999 USD | Not recorded |

The B200 SXM6 and RTX 4070 Max-Q share only their manufacturer, 5 nm TSMC process, 2000 MHz memory clock, and active production status. Every other recorded specification points to divergent design objectives. The server part maximizes memory, compute, and bandwidth at extreme power cost, while the mobile part optimizes for portability, graphics features, and energy efficiency. Their identical 50th percentile ranking among all GPUs reflects a database with no recorded benchmark scores for either, leaving architectural specifications as the sole basis for comparison.