NVIDIA RTX 5000 Ada Generation vs NVIDIA Tesla V100 PCIe 32 GB Comparison

The NVIDIA RTX 5000 Ada Generation and the NVIDIA Tesla V100 PCIe 32 GB represent two distinct eras of professional computing. The RTX 5000 Ada is a modern workstation GPU built on a 5 nm process, while the Tesla V100 is a data-center veteran from the 12 nm Volta generation. Benchmark data shows a clear performance hierarchy, with the newer card leading in every tested workload, though the gap varies dramatically depending on the API.

Head-to-Head Benchmarks

The most significant victory for the RTX 5000 Ada Generation comes in the Vulkan graphics test. Here, it scores 194,041 points against the Tesla V100’s 131,847, a massive 47.2% advantage. This is not a marginal improvement; it is a generational leap in compute efficiency and architectural capability. The data suggests that in modern graphics APIs, the RTX 5000 Ada is in a completely different performance class.

The OpenCL results are far closer, but still favor the RTX 5000 Ada. It posts a score of 175,286 versus the V100’s 168,763, a 3.9% lead. While this is a win, it is narrow enough to indicate that in raw, compute-heavy OpenCL workloads, the older V100 remains surprisingly competitive. The RTX 5000 Ada’s higher clock speeds and newer architecture give it the edge, but the V100’s massive 4096-bit memory bus and high bandwidth appear to mitigate some of the architectural disadvantages.

Looking at the average benchmark score, the RTX 5000 Ada achieves 184,664, placing it in the 98th percentile of all GPUs. Its nearest rival, the NVIDIA A100 SXM4 80 GB, scores 183,725, a mere 0.5% behind. The RTX 5000 Ada also leads the NVIDIA RTX PRO 5000 Blackwell by 1.4% and the GeForce RTX 4090 D by 3.7%. The only listed GPU to beat it is the A100 SXM4 40 GB, which posts 187,147, a 1.3% advantage. The Tesla V100, by contrast, averages 150,305, sitting in the 96th percentile. Its closest rival, the NVIDIA A10G, scores 151,963, which is 1.1% ahead of the V100. The V100 does beat the AMD Instinct MI100 by 8.1%, showing it is not obsolete, but it trails the AMD Radeon Pro W6800X by 6.5% and the A100 PCIe 40 GB by 7.5%.

Architecture Differences

The architectural divide between these two GPUs is stark. The RTX 5000 Ada is built on TSMC’s 5 nm process node, packing 76,300 million transistors into a 609 mm² die. This yields a transistor density of 125.3 million per square millimeter. In contrast, the Tesla V100 uses TSMC’s 12 nm process, fitting 21,100 million transistors onto a much larger 815 mm² die, resulting in a density of just 25.9 million per square millimeter. The RTX 5000 Ada’s process advantage allows for nearly four times the transistor density, enabling far more compute units.

The core configurations differ massively. The RTX 5000 Ada features 12,800 shading units, 400 texture mapping units, and 176 ROPs. It also includes 100 dedicated ray tracing cores and 400 tensor cores. The Tesla V100 has 5,120 shading units, 320 TMUs, and 128 ROPs, with 640 tensor cores but no ray tracing hardware at all. This absence of RT cores is a critical differentiator for modern workloads.

Memory architecture is another major divergence. Both cards have 32 GB of memory, but the type and interface are entirely different. The RTX 5000 Ada uses GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The Tesla V100 utilizes HBM2 memory on a 4096-bit bus, achieving 897.0 GB/s. Despite the V100’s higher bandwidth, the RTX 5000 Ada compensates with significantly higher clock speeds: a base of 1155 MHz and boost of 2550 MHz, compared to the V100’s 1230 MHz base and 1380 MHz boost. The effective memory speed also differs, with the RTX 5000 Ada at 18 Gbps versus the V100’s 1752 Mbps.

Compute throughput tells the story of architectural efficiency. The RTX 5000 Ada delivers 65.28 TFLOPS of FP32 performance and the same 65.28 TFLOPS for FP16 (at a 1:1 ratio). The Tesla V100 offers only 14.13 TFLOPS of FP32 and 28.26 TFLOPS of FP16 (at a 2:1 ratio). The RTX 5000 Ada is over 4.6 times faster in single-precision floating-point math. Pixel and texture rates follow suit: the RTX 5000 Ada achieves 448.8 GPixel/s and 1,020.0 GTexel/s, while the V100 manages 176.6 GPixel/s and 441.6 GTexel/s.

Other notable differences include the bus interface (PCIe 4.0 x16 on the RTX 5000 Ada versus PCIe 3.0 x16 on the V100), power connectors (1x 16-pin versus 2x 8-pin), and display outputs. The RTX 5000 Ada has four DisplayPort 1.4a outputs, while the Tesla V100 has no display outputs at all, confirming its data-center focus. Both cards share a 250 W TDP and a suggested PSU of 600 W, and both are dual-slot designs. In terms of API support, the RTX 5000 Ada supports DirectX 12 Ultimate (12_2), while the V100 is limited to DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4.

The Verdict

The data is unambiguous for most users: the NVIDIA RTX 5000 Ada Generation is the superior GPU. It wins both head-to-head benchmarks, offers a 22.8% higher average benchmark score over the Tesla V100 (184,664 versus 150,305), and provides modern features like ray tracing and a significantly newer architecture. The 47.2% lead in Vulkan performance alone makes it the clear choice for any workload that leverages modern graphics APIs. Its 98th percentile ranking versus the V100’s 96th percentile reinforces this hierarchy.

However, the Tesla V100 is not without merit in specific contexts. Its 4096-bit HBM2 memory bus provides 897.0 GB/s of bandwidth, which is 55.7% higher than the RTX 5000 Ada’s 576.0 GB/s. For memory-bandwidth-bound compute tasks that do not rely on ray tracing or the latest DirectX features, the V100’s performance in OpenCL (only 3.9% behind the newer card) shows it remains viable. Its 640 tensor cores, while older, could still be relevant for certain inference workloads.

The choice comes down to workload recency. For anyone running modern professional applications, 3D rendering, or any task that can use Vulkan or ray tracing, the RTX 5000 Ada Generation is the definitive pick. Its massive FP32 throughput and architectural efficiency make it future-proof. The Tesla V100 is a legacy product, end-of-life, and best suited for legacy compute environments where its high memory bandwidth and established driver ecosystem are still valued. The RTX 5000 Ada is the benchmark leader, and the data supports that conclusion decisively.

Specification Differences

| Specification | NVIDIA RTX 5000 Ada Generation | NVIDIA Tesla V100 PCIe 32 GB |

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

| Architecture | Ada Lovelace | Volta |

| Process Node | 5 nm | 12 nm |

| Transistors | 76,300 million | 21,100 million |

| Die Size | 609 mm² | 815 mm² |

| Transistor Density | 125.3M / mm² | 25.9M / mm² |

| Base Clock | 1155 MHz | 1230 MHz |

| Boost Clock | 2550 MHz | 1380 MHz |

| Memory Type | GDDR6 | HBM2 |

| Memory Bus Width | 256 bit | 4096 bit |

| Memory Bandwidth | 576.0 GB/s | 897.0 GB/s |

| Shading Units | 12800 | 5120 |

| TMUs | 400 | 320 |

| ROPs | 176 | 128 |

| RT Cores | 100 | None |

| Tensor Cores | 400 | 640 |

| Pixel Rate | 448.8 GPixel/s | 176.6 GPixel/s |

| Texture Rate | 1,020.0 GTexel/s | 441.6 GTexel/s |

| FP32 Performance | 65.28 TFLOPS | 14.13 TFLOPS |

| FP16 Performance | 65.28 TFLOPS (1:1) | 28.26 TFLOPS (2:1) |

| Power Connectors | 1x 16-pin | 2x 8-pin |

| Bus Interface | PCIe 4.0 x16 | PCIe 3.0 x16 |

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

| DirectX Support | 12 Ultimate (12_2) | 12 (12_1) |

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

| Release Date | 2023-08-08 | 2018-03-26 |

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA RTX 5000 Ada Generation has an average benchmark score of 184,664, while the Tesla V100 PCIe 32 GB averages 150,305. The RTX 5000 Ada is ahead by 22.8%.

Q: How much faster is the RTX 5000 Ada in Vulkan benchmarks?

A: The RTX 5000 Ada scores 194,041 in Geekbench Vulkan, compared to 131,847 for the Tesla V100. This is a 47.2% performance advantage.

Q: Does the Tesla V100 have any performance advantage?

A: Yes, its memory bandwidth is significantly higher at 897.0 GB/s, compared to 576.0 GB/s for the RTX 5000 Ada. This is due to its 4096-bit HBM2 memory bus versus the 256-bit GDDR6 bus on the newer card.

Q: Which GPU supports ray tracing?

A: The RTX 5000 Ada Generation includes 100 dedicated RT cores. The Tesla V100 has no RT cores, so it does not support hardware-accelerated ray tracing.

Q: What is the difference in transistor density?

A: The RTX 5000 Ada, built on a 5 nm process, achieves 125.3 million transistors per mm². The Tesla V100, on a 12 nm process, achieves only 25.9 million per mm².

Q: Are both cards the same power draw?

A: Yes, both the RTX 5000 Ada Generation and the Tesla V100 PCIe 32 GB have a TDP of 250 W and a suggested PSU of 600 W. Both are also dual-slot designs.