NVIDIA GeForce RTX 4080 Max-Q vs NVIDIA H20 Comparison

Head-to-Head Benchmarks

The recorded data shows a fundamental split between these two NVIDIA processors, with no direct head-to-head benchmark suite in the database. The GeForce RTX 4080 Max-Q and the H20 do not share any common benchmark entries, which means their relative performance must be derived from their architectural specifications and compute capabilities rather than from identical test workloads. The absence of a shared benchmark suite is itself informative: the RTX 4080 Max-Q is a mobile graphics solution while the H20 is a server accelerator, and their performance profiles target completely different execution environments.

Looking at raw FP32 throughput, the H20 delivers 39.54 TFLOPS versus the RTX 4080 Max-Q at 20.04 TFLOPS. This represents a 97.2% advantage for the H20 in single-precision floating-point compute, a nearly doubling of raw shader throughput. The H20 achieves this with 9,984 shading units at a boost clock of 1980 MHz, while the RTX 4080 Max-Q fields 7,424 shading units at a significantly lower 1350 MHz boost. The clock difference is stark: the H20 boosts at nearly 1.47 times the frequency of the mobile part, and it does so with 34.5% more shading units. The combination of higher clock and wider execution width explains the substantial FP32 gap.

In FP16 compute, the divergence becomes even more pronounced. The H20 delivers 79.07 TFLOPS with a 2:1 ratio, meaning it processes half-precision at twice the rate of FP32. The RTX 4080 Max-Q provides 20.04 TFLOPS at a 1:1 ratio, offering no FP16 acceleration advantage over its FP32 rate. This gives the H20 a 294.5% advantage in half-precision throughput, a critical metric for AI inference and training workloads where FP16 is the dominant precision format. The H20's Hopper architecture clearly prioritizes mixed-precision compute, while the Ada Lovelace mobile chip treats FP16 and FP32 as equal-throughput operations.

Texture processing also favors the H20 decisively. The server part reaches 617.8 GTexel/s with 312 TMUs, while the RTX 4080 Max-Q manages 313.2 GTexel/s with 232 TMUs. The H20's texture rate is 97.3% higher, a near-doubling that reflects both its wider TMU count and its higher operating frequencies. Pixel rate, however, tells a different story: the RTX 4080 Max-Q achieves 108.0 GPixel/s with 80 ROPs, while the H20 manages only 47.52 GPixel/s with 24 ROPs. The mobile GPU delivers 127.3% higher pixel throughput, indicating that rasterization and traditional graphics output are not the server part's focus. The H20's 24 ROPs is an unusually low count for a chip with 9,984 shading units, suggesting that pixel fill rate was never a design priority for this accelerator.

Where Each One Wins

The RTX 4080 Max-Q wins decisively in pixel processing and graphics-oriented metrics. Its 108.0 GPixel/s pixel rate more than doubles the H20's 47.52 GPixel/s, and this advantage directly supports traditional rendering workloads such as game rasterization, display composition, and viewport output. The mobile GPU also carries the full graphics API stack with DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, whereas the H20 lists N/A for all three graphics APIs. For any workload that requires drawing to a screen, running a windowed application, or executing graphics shaders through standard graphics pipelines, the RTX 4080 Max-Q is the only viable option between the two.

The H20 wins in compute density and memory capacity. Its 96 GB of HBM3 memory with 4.03 TB/s bandwidth dwarfs the RTX 4080 Max-Q's 12 GB GDDR6 at 432.0 GB/s. The H20 offers 8 times the memory capacity and 9.33 times the bandwidth. For large model inference, scientific computing, or data-parallel workloads that must hold substantial datasets on-chip, the H20's memory subsystem provides a decisive advantage. The 6144-bit memory bus width versus the mobile part's 192-bit bus explains the bandwidth disparity: the H20 moves data across 32 times more physical lines, and HBM3's architecture allows far higher per-pin throughput than GDDR6.

The H20 also wins in FP32 and FP16 compute, as detailed above. Its 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16 make it the stronger choice for any compute-bound task that does not require graphics output. The RTX 4080 Max-Q's 20.04 TFLOPS in both precisions is respectable for a mobile part, but it falls 49.3% short of the H20 in FP32 and 74.6% short in FP16. For AI training, inference batching, or HPC simulation, the H20's compute advantage is substantial.

Architecture Differences

The two processors derive from different NVIDIA architectures and different chip designs. The RTX 4080 Max-Q uses the AD104 chip built on the Ada Lovelace architecture, manufactured by TSMC on a 5 nm process. The H20 uses the GH100 chip built on the Hopper architecture, also on TSMC's 5 nm process. Both share the same process node and foundry, but the physical chips differ enormously in scale. The GH100 contains 80,000 million transistors on an 814 mm² die, while the AD104 contains 35,800 million transistors on a 294 mm² die. The H20's chip has 2.24 times the transistor count and 2.77 times the die area. Interestingly, the AD104 achieves a higher transistor density at 121.8 million transistors per mm² versus the GH100's 98.3 million per mm², indicating that the Ada Lovelace design packs transistors more tightly despite its smaller overall budget.

The memory architectures are entirely different classes. The RTX 4080 Max-Q uses 12 GB of GDDR6 with a 192-bit bus, whereas the H20 uses 96 GB of HBM3 with a 6144-bit bus. HBM3 is a stacked memory technology designed for bandwidth, and the H20's 4.03 TB/s reflects that design intent. GDDR6, by contrast, is a conventional discrete memory solution suited to graphics workloads. The H20 also operates at a much higher base clock of 1830 MHz versus the RTX 4080 Max-Q's 795 MHz base, and its boost clock of 1980 MHz surpasses the mobile part's 1350 MHz by 46.7%.

The compute unit configurations differ in ways that reflect their target workloads. The H20 has 9,984 shading units, 312 TMUs, and 312 tensor cores but only 24 ROPs. The RTX 4080 Max-Q has 7,424 shading units, 232 TMUs, 232 tensor cores, and 80 ROPs. The H20 also carries 58 RT cores on the mobile part while the H20 reports no RT core count. The H20's tensor core count matches its TMU count at 312, while the RTX 4080 Max-Q also pairs tensor cores with TMUs at 232 each. The H20's 2:1 FP16 ratio indicates its tensor and compute paths are optimized for half-precision, whereas the RTX 4080 Max-Q's 1:1 ratio treats FP16 and FP32 as equivalent operations.

Power and physical format also separate these parts. The RTX 4080 Max-Q is rated at 60 W TDP, uses an IGP slot width, and has no power connectors, indicating it is designed for integration directly into a laptop or compact mobile chassis. The H20 is rated at 500 W TDP, uses an SXM Module slot width, and lists a suggested PSU of 900 W. The H20 has no display outputs while the RTX 4080 Max-Q's display outputs are described as portable device dependent. The H20 uses PCIe 5.0 x16 while the RTX 4080 Max-Q uses PCIe 4.0 x16.

FAQ

Q: Which GPU has higher raw single-precision compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS FP32, which is 97.2% higher than the GeForce RTX 4080 Max-Q's 20.04 TFLOPS.

Q: How do their memory capacities and bandwidths compare?

A: The H20 has 96 GB of HBM3 with 4.03 TB/s bandwidth. The RTX 4080 Max-Q has 12 GB of GDDR6 with 432.0 GB/s bandwidth. The H20 offers 8 times the capacity and 9.33 times the bandwidth.

Q: Which processor supports graphics APIs?

A: The RTX 4080 Max-Q supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The H20 lists N/A for DirectX, OpenGL, and Vulkan, indicating no graphics API support.

Q: What are the TDP ratings for each?

A: The RTX 4080 Max-Q is rated at 60 W TDP. The H20 is rated at 500 W TDP and lists a suggested PSU of 900 W.

Q: How do the tensor core counts compare?

A: The RTX 4080 Max-Q has 232 tensor cores. The H20 has 312 tensor cores, a 34.5% higher count.

Q: Which chip has higher pixel fill rate?

A: The RTX 4080 Max-Q achieves 108.0 GPixel/s with 80 ROPs. The H20 achieves 47.52 GPixel/s with 24 ROPs, meaning the mobile GPU has 127.3% higher pixel throughput.

The Verdict

The data indicates that the NVIDIA H20 is the superior choice for compute-intensive, data-parallel workloads that do not require graphics output. Its 39.54 TFLOPS FP32, 79.07 TFLOPS FP16, 96 GB HBM3 memory, and 4.03 TB/s bandwidth position it as a server-class accelerator for AI training, inference, and scientific computing. The 500 W TDP and SXM Module form factor confirm that it lives in a rack-mounted server environment with dedicated power delivery. The absence of graphics API support means it cannot render to a display, and its 24 ROPs and 47.52 GPixel/s pixel rate suggest that rasterization was never part of its design mandate.

The GeForce RTX 4080 Max-Q is the choice for graphics rendering and mobile deployment. Its 108.0 GPixel/s pixel rate, 80 ROPs, and full support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 make it a capable graphics processor for gaming, content creation, and any application that outputs to a display. The 60 W TDP and IGP form factor with no power connectors indicate it is designed for battery-powered laptops or compact mobile workstations. Its 12 GB GDDR6 memory and 432.0 GB/s bandwidth are modest by server standards but appropriate for mobile graphics.

The release dates frame their positioning: the RTX 4080 Max-Q launched in January 2023 as part of the GeForce 40 Mobile generation, while the H20 launched in January 2024 in the Server Hopper (Hxx) generation. The predecessor and successor chains reinforce this split, with the mobile part following GeForce 30 Mobile and preceding GeForce 50 Mobile, while the H20 follows Server Ada and precedes Server Blackwell. These are not competing products in the same market segment; they are different tools for different tasks.

Specification Differences

| Specification | NVIDIA GeForce RTX 4080 Max-Q | NVIDIA H20 |

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

| Architecture | Ada Lovelace | Hopper |

| Chip | AD104 | GH100 |

| Generation | GeForce 40 Mobile | Server Hopper (Hxx) |

| Transistors | 35,800 million | 80,000 million |

| Die Size | 294 mm² | 814 mm² |

| Transistor Density | 121.8M / mm² | 98.3M / mm² |

| Base Clock | 795 MHz | 1830 MHz |

| Boost Clock | 1350 MHz | 1980 MHz |

| Memory Clock | 2250 MHz, 18 Gbps effective | 1313 MHz, 5.3 Gbps effective |

| Memory Size | 12 GB GDDR6 | 96 GB HBM3 |

| Memory Bus Width | 192 bit | 6144 bit |

| Memory Bandwidth | 432.0 GB/s | 4.03 TB/s |

| Shading Units | 7424 | 9984 |

| TMUs | 232 | 312 |

| ROPs | 80 | 24 |

| RT Cores | 58 | (not reported) |

| Tensor Cores | 232 | 312 |

| Pixel Rate | 108.0 GPixel/s | 47.52 GPixel/s |

| Texture Rate | 313.2 GTexel/s | 617.8 GTexel/s |

| FP32 | 20.04 TFLOPS | 39.54 TFLOPS |

| FP16 | 20.04 TFLOPS (1:1) | 79.07 TFLOPS (2:1) |

| TDP | 60 W | 500 W |

| Slot Width | IGP | SXM Module |

| Power Connectors | None | (not reported) |

| Suggested PSU | (not reported) | 900 W |

| Bus Interface | PCIe 4.0 x16 | PCIe 5.0 x16 |

| Display Outputs | Portable Device Dependent | No outputs |

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

| OpenGL | 4.6 | N/A |

| Vulkan | 1.4 | N/A |

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

| Predecessor | GeForce 30 Mobile | Server Ada |

| Successor | GeForce 50 Mobile | Server Blackwell |