NVIDIA A100 SXM4 40 GB vs NVIDIA RTX 4000 Ada Generation Comparison

The benchmark data clearly establishes the NVIDIA A100 SXM4 40 GB as the dominant performer in raw compute tests, winning both head-to-head comparisons decisively. However, the RTX 4000 Ada Generation counters with a more modern architecture, significantly higher clock speeds, and a feature set tailored for workstation graphics, making the choice between them a matter of workload priorities rather than a simple performance hierarchy.

Head-to-Head Benchmarks

The A100 SXM4 40 GB wins both available benchmark comparisons by substantial margins. In Geekbench OpenCL, the A100 scores 201,096 against the RTX 4000 Ada's 146,593, a 37.2% advantage. The Vulkan test shows an even wider gap, with the A100 reaching 173,198 versus 123,842 for the RTX 4000 Ada, a 39.9% lead. These are not marginal victories; they represent a fundamental difference in compute throughput that favors the server-oriented A100.

The A100's average benchmark score of 187,147 places it in the 98th percentile of all GPUs, while the RTX 4000 Ada's 135,218 average sits in the 95th percentile. The delta between their averages is roughly 38%, consistent with the individual test results. Interestingly, the A100's nearest rival is the NVIDIA RTX 5000 Ada Generation, which scores 184,664, just 1.3% behind, while the RTX 4000 Ada's closest competitor is the NVIDIA A10M at 135,230, a nearly identical score. This positioning shows that the A100 competes at the top tier of compute accelerators, whereas the RTX 4000 Ada sits in a mid-range workstation category.

The Vulkan results deserve particular attention because they reflect graphics-oriented workloads. The A100's 39.9% lead here is notable given that it has no display outputs and is designed as a compute module. This suggests that its raw processing power translates even into graphics API tests, though the RTX 4000 Ada's native display support and modern feature set may offer advantages in actual rendering workflows that these synthetic benchmarks do not fully capture.

Architecture Differences

The two GPUs come from different architectural generations and target different market segments. The A100 SXM4 40 GB uses the GA100 chip built on Ampere architecture, fabricated on a 7 nm process at TSMC. It packs 54,200 million transistors into an 826 mm² die, yielding a transistor density of 65.6 million per square millimeter. The RTX 4000 Ada Generation uses the AD104 chip with Ada Lovelace architecture, built on a more advanced 5 nm TSMC process. It contains 35,800 million transistors on a much smaller 294 mm² die, achieving 121.8 million transistors per square millimeter. The RTX 4000 Ada's density is nearly double that of the A100, reflecting the newer process node.

Memory configurations diverge sharply. The A100 features 40 GB of HBM2e with a 5120-bit bus, delivering 1.56 TB/s of bandwidth. The RTX 4000 Ada offers 20 GB of GDDR6 on a 160-bit bus, with 360.0 GB/s bandwidth. The A100's memory bandwidth is over four times higher, which is critical for data-intensive compute tasks. The RTX 4000 Ada's memory clock runs at 2250 MHz (18 Gbps effective) versus the A100's 1215 MHz (2.4 Gbps effective), but the A100's vastly wider bus more than compensates.

Compute resources also differ fundamentally. The A100 has 6912 shading units, 432 TMUs, 160 ROPs, and 432 tensor cores. The RTX 4000 Ada has 6144 shading units, 192 TMUs, 64 ROPs, 48 RT cores, and 192 tensor cores. The A100 lacks dedicated RT cores, while the RTX 4000 Ada includes 48 of them for hardware-accelerated ray tracing. FP32 throughput favors the RTX 4000 Ada at 26.73 TFLOPS versus the A100's 19.49 TFLOPS, a 37% advantage. However, the A100's FP16 performance is 77.97 TFLOPS (4:1 ratio) versus the RTX 4000 Ada's 26.73 TFLOPS (1:1 ratio), giving the A100 a nearly 3x lead in half-precision compute.

Clock speeds tell a similar story: the RTX 4000 Ada boosts to 2175 MHz versus the A100's 1410 MHz, and its base clock of 1500 MHz exceeds the A100's boost clock. The RTX 4000 Ada also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the A100 lists no API support in the data.

Where Each One Wins

The A100 SXM4 40 GB wins in scenarios demanding massive memory bandwidth and half-precision compute. Its 1.56 TB/s bandwidth and 77.97 TFLOPS FP16 performance make it suited for large-scale AI training, scientific simulations, and data center workloads where memory throughput is the bottleneck. The 40 GB HBM2e capacity provides room for large models and datasets that would exceed the RTX 4000 Ada's 20 GB GDDR6. The A100's 98th percentile ranking and its nearest rivals being the RTX 5000 Ada and A100 80 GB confirm its position as a high-end compute accelerator.

The RTX 4000 Ada Generation wins in graphics-centric and power-conscious environments. Its 48 RT cores enable hardware ray tracing, a feature entirely absent from the A100. Its 4x DisplayPort 1.4a outputs make it a functional workstation card for visualization, while the A100 has no display outputs at all. The RTX 4000 Ada's higher FP32 throughput (26.73 TFLOPS) benefits single-precision compute tasks, and its 2175 MHz boost clock provides responsive performance. The 130 W TDP versus the A100's 400 W, combined with a single-slot design and 300 W suggested PSU, makes it far easier to deploy in workstations. The RTX 4000 Ada's 95th percentile ranking, with rivals like the AMD Radeon PRO W6800, places it in a practical mid-range tier.

FAQ

Q: Which GPU has higher raw compute performance in the provided benchmarks?

A: The NVIDIA A100 SXM4 40 GB wins both Geekbench OpenCL (201,096 vs 146,593, a 37.2% lead) and Geekbench Vulkan (173,198 vs 123,842, a 39.9% lead) tests.

Q: How do their memory bandwidths compare?

A: The A100 SXM4 40 GB has 1.56 TB/s bandwidth from HBM2e memory on a 5120-bit bus, while the RTX 4000 Ada Generation has 360.0 GB/s from GDDR6 on a 160-bit bus. The A100's bandwidth is over four times higher.

Q: Which GPU supports ray tracing?

A: The RTX 4000 Ada Generation includes 48 RT cores for hardware ray tracing. The A100 SXM4 40 GB has no RT cores listed in its specifications.

Q: What are the power requirements for each card?

A: The A100 SXM4 40 GB has a 400 W TDP with a suggested 800 W PSU and uses an SXM module form factor. The RTX 4000 Ada Generation has a 130 W TDP with a suggested 300 W PSU, uses a single-slot design, and requires one 16-pin power connector.

Q: How do their FP32 and FP16 compute capabilities differ?

A: The RTX 4000 Ada achieves 26.73 TFLOPS FP32, higher than the A100's 19.49 TFLOPS. However, the A100 reaches 77.97 TFLOPS FP16 (4:1), versus the RTX 4000 Ada's 26.73 TFLOPS FP16 (1:1), giving the A100 a near 3x advantage in half-precision.

Q: Which GPU has better API support for graphics applications?

A: The RTX 4000 Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A100 SXM4 40 GB has no API support data listed.

Specification Differences

| Specification | NVIDIA A100 SXM4 40 GB | NVIDIA RTX 4000 Ada Generation |

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

| Architecture | Ampere | Ada Lovelace |

| Process Node | 7 nm | 5 nm |

| Transistors | 54,200 million | 35,800 million |

| Die Size | 826 mm² | 294 mm² |

| Transistor Density | 65.6M / mm² | 121.8M / mm² |

| Base Clock | 1095 MHz | 1500 MHz |

| Boost Clock | 1410 MHz | 2175 MHz |

| Memory Size | 40 GB | 20 GB |

| Memory Type | HBM2e | GDDR6 |

| Memory Bus | 5120 bit | 160 bit |

| Memory Bandwidth | 1.56 TB/s | 360.0 GB/s |

| Shading Units | 6912 | 6144 |

| TMUs | 432 | 192 |

| ROPs | 160 | 64 |

| RT Cores | None | 48 |

| Tensor Cores | 432 | 192 |

| FP32 Compute | 19.49 TFLOPS | 26.73 TFLOPS |

| FP16 Compute | 77.97 TFLOPS (4:1) | 26.73 TFLOPS (1:1) |

| TDP | 400 W | 130 W |

| Slot Width | SXM Module | Single-slot |

| Power Connectors | None | 1x 16-pin |

| Suggested PSU | 800 W | 300 W |

| Display Outputs | No outputs | 4x DisplayPort 1.4a |

| DirectX Support | Not listed | 12 Ultimate (12_2) |

| OpenGL Support | Not listed | 4.6 |

| Vulkan Support | Not listed | 1.4 |

| Production Status | End-of-life | Active |

| Release Date | 2020-05-13 | 2023-08-08 |

The Verdict

The data directs different users to different cards. For compute-intensive workloads centered on AI, deep learning, and large-scale scientific computing, the A100 SXM4 40 GB is the clear choice. Its 37-40% benchmark leads, 1.56 TB/s memory bandwidth, 40 GB HBM2e capacity, and 77.97 TFLOPS FP16 performance make it a purpose-built accelerator for these tasks. The 98th percentile ranking and its competition with the RTX 5000 Ada and A100 80 GB reinforce its high-end positioning. Its end-of-life status is a consideration, but the performance data remains compelling.

For workstation graphics, rendering, ray tracing, and general single-precision compute, the RTX 4000 Ada Generation is more appropriate. Its 48 RT cores, 4x DisplayPort outputs, DirectX 12 Ultimate support, and 26.73 TFLOPS FP32 performance address workstation needs the A100 cannot meet. The 130 W TDP and single-slot design make it practical for desktop deployment, and its active production status ensures ongoing availability. The RTX 4000 Ada's 95th percentile score, while lower than the A100's, is respectable for its category.

Ultimately, the A100 wins on raw compute and memory bandwidth, while the RTX 4000 Ada wins on architecture modernity, graphics features, and efficiency. The choice depends entirely on whether the workload prioritizes massive parallel throughput or versatile workstation functionality. The benchmark results leave no ambiguity: the A100 is the compute king, and the RTX 4000 Ada is the graphics specialist.