NVIDIA A100 PCIe 80 GB vs NVIDIA RTX 6000D Comparison

The NVIDIA A100 PCIe 80 GB and the NVIDIA RTX 6000D represent two distinct generations of NVIDIA’s professional GPU lineup, separated by a significant architectural leap. The A100 is an end-of-life Ampere part designed for server compute, while the RTX 6000D is an active Blackwell 2.0 workstation card. Benchmark data reveals a clear performance hierarchy, but the A100’s strengths in memory bandwidth and its established ecosystem provide a compelling alternative for specific workloads.

Head-to-Head Benchmarks

The sole direct comparison available is the Geekbench OpenCL test, and the results are decisive. The RTX 6000D scores 388,405 points, while the A100 PCIe 80 GB trails at 207,124 points. This represents a delta of -46.7% for the A100, meaning the RTX 6000D outperforms it by a substantial margin in this compute-focused benchmark. The RTX 6000D’s score places it in the 98th percentile of all GPUs, while the A100 sits just above it in the 99th percentile, indicating both are top-tier parts, but the raw compute advantage in this test belongs firmly to the newer card.

Looking at the broader competitive landscape, the A100’s average benchmark score of 207,124 positions it 5.7% ahead of the RTX 6000D’s average score of 195,964. This apparent contradiction stems from the fact that the RTX 6000D’s average is pulled down by its other benchmark result, the 3DMark Steel Nomad DX12 score of 3,522, which is not a test the A100 has data for. When comparing the Geekbench OpenCL results directly, the RTX 6000D is the clear winner. However, the A100 also shows competitive strength against other rivals: it is 6.5% ahead of the NVIDIA Tesla V100S PCIe 32 GB (score 194,415) and 5.8% behind the AMD Radeon PRO W7900D (score 219,827). Conversely, the RTX 6000D is 0.8% ahead of the Tesla V100S, 4.7% ahead of the NVIDIA A100 SXM4 40 GB (score 187,147), and 6.1% ahead of the NVIDIA RTX 5000 Ada Generation (score 184,664). The data shows that while the RTX 6000D wins the direct head-to-head against the A100, the A100 still holds its own against other older competitors.

Where Each One Wins

Based on the benchmark data, the RTX 6000D wins the only direct compute test, the Geekbench OpenCL benchmark. This suggests a clear advantage in general-purpose compute workloads that utilize OpenCL, which often includes tasks like rendering, physics simulations, and certain machine learning inference tasks. The RTX 6000D’s higher shading unit count and newer architecture likely contribute to this lead.

The A100 PCIe 80 GB, despite losing the head-to-head, demonstrates its own strengths in the data. Its average benchmark score of 207,124 is higher than the RTX 6000D’s average of 195,964, which is driven by the RTX 6000D’s lower 3DMark Steel Nomad score. This indicates that in a mixed workload environment, the A100 may be more consistent. Furthermore, the A100’s 99th percentile ranking, compared to the RTX 6000D’s 98th, suggests that when considering all benchmark results, the A100 sits in a slightly higher overall performance tier. The A100 also shows a larger lead over the Tesla V100S (6.5%) than the RTX 6000D does (0.8%), indicating it offers a more significant upgrade path from that older architecture.

Architecture Differences

The two GPUs are built on fundamentally different architectures and process nodes. The A100 uses the GA100 chip on the Ampere architecture, manufactured on a 7 nm process at TSMC. It packs 54,200 million transistors on an 826 mm² die, resulting in a transistor density of 65.6 million per mm². In contrast, the RTX 6000D uses the GB202 chip on the Blackwell 2.0 architecture, built on a more advanced 5 nm process at TSMC. This newer chip contains 92,200 million transistors on a slightly smaller 750 mm² die, achieving a much higher density of 122.9 million per mm².

Memory configurations differ drastically. The A100 features 80 GB of HBM2e memory on a wide 5120-bit bus, delivering a massive 1.94 TB/s of bandwidth. The RTX 6000D offers 84 GB of GDDR7 memory on a narrower 448-bit bus, providing 1.40 TB/s of bandwidth. While the RTX 6000D has more capacity, the A100’s HBM2e implementation offers significantly higher bandwidth, which is critical for memory-bound compute tasks. The compute cores also diverge: the A100 has 6,912 shading units, 432 TMUs, and 160 ROPs, while the RTX 6000D has 19,968 shading units, 624 TMUs, and 192 ROPs. The RTX 6000D also introduces 156 dedicated ray tracing cores, a feature the A100 lacks entirely, and its 624 tensor cores outnumber the A100’s 432.

Clock speeds are another major differentiator. The A100 runs at a base clock of 1065 MHz and a boost clock of 1410 MHz, while the RTX 6000D operates at 1992 MHz base and 2430 MHz boost. This clock advantage contributes to the RTX 6000D’s massive lead in raw compute throughput: it delivers 97.04 TFLOPS of FP32 and FP16 performance, while the A100 offers 19.49 TFLOPS FP32 and 77.97 TFLOPS FP16 (with a 4:1 ratio). The RTX 6000D also supports PCIe 5.0 x16, double the bandwidth of the A100’s PCIe 4.0 x16 interface.

FAQ

Q: Which GPU is faster in the Geekbench OpenCL benchmark?

A: The NVIDIA RTX 6000D is faster, scoring 388,405 points compared to the NVIDIA A100 PCIe 80 GB’s 207,124 points, a difference of -46.7% for the A100.

Q: How do their average benchmark scores compare?

A: The A100 has a higher average benchmark score of 207,124, while the RTX 6000D’s average is 195,964. This puts the A100 5.7% ahead in this metric.

Q: What are the memory bandwidth capabilities of each card?

A: The A100 provides 1.94 TB/s of bandwidth using 80 GB of HBM2e memory on a 5120-bit bus. The RTX 6000D offers 1.40 TB/s of bandwidth with 84 GB of GDDR7 memory on a 448-bit bus.

Q: Does the RTX 6000D support ray tracing?

A: Yes, the RTX 6000D includes 156 dedicated ray tracing cores. The A100 does not have any dedicated RT cores.

Q: What is the production status of each GPU?

A: The NVIDIA A100 PCIe 80 GB is listed as end-of-life, while the NVIDIA RTX 6000D is marked as active.

Q: What is the launch MSRP of the RTX 6000D?

A: The launch MSRP of the RTX 6000D is 8,565 USD. The A100 has no launch MSRP listed.

The Verdict

The data clearly indicates that the NVIDIA RTX 6000D is the superior choice for raw compute performance, as evidenced by its decisive victory in the Geekbench OpenCL benchmark with a 46.7% lead over the A100. Its newer Blackwell 2.0 architecture, higher clock speeds, and massive shading unit count make it the more powerful processor for tasks that leverage OpenCL. Its active production status also ensures continued availability and support.

However, the A100 PCIe 80 GB is not without merit. Its higher average benchmark score, driven by its strong Geekbench result, and its 99th percentile ranking suggest it is a more consistent performer across a broader set of workloads. Its significantly higher memory bandwidth (1.94 TB/s vs. 1.40 TB/s) is a critical advantage for memory-intensive applications like large language model training or scientific simulations where data throughput is the bottleneck. For users with existing infrastructure built around the A100’s server-oriented design, its end-of-life status may not be a concern, and its performance remains competitive against other older parts.

Ultimately, the choice depends on the specific workload. For general compute and rendering tasks where OpenCL performance is key, the RTX 6000D is the clear winner. For workloads that are heavily dependent on memory bandwidth, the A100’s HBM2e advantage remains a powerful draw, even if its raw compute is lower. The RTX 6000D’s support for newer APIs like DirectX 12 Ultimate and Vulkan 1.4 also makes it a more future-proof option for client-side applications.

Specification Differences

| Specification | NVIDIA A100 PCIe 80 GB | NVIDIA RTX 6000D |

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

| Architecture | Ampere | Blackwell 2.0 |

| Process Node | 7 nm | 5 nm |

| Transistors | 54,200 million | 92,200 million |

| Die Size | 826 mm² | 750 mm² |

| Base Clock | 1065 MHz | 1992 MHz |

| Boost Clock | 1410 MHz | 2430 MHz |

| Memory Size | 80 GB | 84 GB |

| Memory Type | HBM2e | GDDR7 |

| Memory Bus | 5120 bit | 448 bit |

| Memory Bandwidth | 1.94 TB/s | 1.40 TB/s |

| Shading Units | 6912 | 19968 |

| TMUs | 432 | 624 |

| ROPs | 160 | 192 |

| RT Cores | N/A | 156 |

| Tensor Cores | 432 | 624 |

| FP32 Performance | 19.49 TFLOPS | 97.04 TFLOPS |

| FP16 Performance | 77.97 TFLOPS (4:1) | 97.04 TFLOPS (1:1) |

| TDP | 300 W | 600 W |

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

| Suggested PSU | 700 W | 1000 W |

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

| Display Outputs | No outputs | 4x DisplayPort 2.1b |

| Length | 267 mm | 304 mm |

| Height | 111 mm | 137 mm |

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

| Release Date | 2021-06-27 | 2025-07-13 |

| Successor | Server Ada | N/A |