NVIDIA A100 PCIe 40 GB vs NVIDIA RTX 6000D Comparison

# NVIDIA RTX 6000D vs NVIDIA A100 PCIe 40 GB

The NVIDIA RTX 6000D and NVIDIA A100 PCIe 40 GB represent two distinct philosophies in NVIDIA's professional lineup, separated by five years of architectural evolution and aimed at fundamentally different workloads. The data reveals a generational chasm in raw compute capability, yet the A100's specialized memory subsystem and established ecosystem keep it relevant for specific deployment scenarios. The RTX 6000D emerges as the clear performance leader in the available benchmark data, but the A100's design choices around memory bandwidth and power efficiency tell a more nuanced story.

Head-to-Head Benchmarks

The only direct head-to-head benchmark available is Geekbench OpenCL, and the result is emphatic. The RTX 6000D scores 388,405 points against the A100's 178,627, producing a delta of 117.4% in favor of the newer card. This is not a marginal improvement; it is a complete generational overthrow. The RTX 6000D more than doubles the A100's OpenCL compute output, which aligns with the massive specification gaps elsewhere—19968 shading units versus 6912, and 97.04 TFLOPS FP32 versus 19.49 TFLOPS. The A100's FP16 output of 77.97 TFLOPS (4:1 ratio) comes closer to the RTX 6000D's 97.04 TFLOPS FP16 (1:1), but even there the newer card holds a 24.5% advantage.

The A100's only other benchmark entry is Geekbench Vulkan at 146,380, a test the RTX 6000D does not appear in. However, the RTX 6000D's average benchmark score of 195,964 across all tests dwarfs the A100's 162,504 average, a 20.6% gap that reflects the broader performance picture. In the nearest rivals comparison, the RTX 6000D sits 4.7% above the A100 SXM4 40 GB (187,147) and 6.1% above the RTX 5000 Ada Generation (184,664), while trailing the A100 PCIe 80 GB by 5.4% (207,124). The A100 PCIe 40 GB, by contrast, is essentially level with AMD's Radeon Pro W6800X (1.1% ahead) and slightly behind the Radeon PRO W7800 (−1.4%) and RTX A5500 (−1.6%). These comparisons place the RTX 6000D in the 98th percentile of all GPUs, while the A100 sits at the 97th—a narrowing gap at the very top of the performance pyramid.

Where Each One Wins

The RTX 6000D wins decisively in any compute-heavy, FP32-oriented workload. Its 97.04 TFLOPS FP32 performance is exactly 5x the A100's 19.49 TFLOPS, making it the obvious choice for scientific simulations, physics processing, or any task that relies on single-precision floating-point math. The shading unit advantage (19968 vs 6912) also gives it a massive edge in graphics rasterization and traditional rendering, supported by a pixel rate of 466.6 GPixel/s versus 225.6 GPixel/s. For professionals working with real-time 3D visualization, ray tracing, or CAD, the RTX 6000D is categorically superior—it even has 156 dedicated RT cores, while the A100 lists none, confirming the A100's design focus away from graphics.

The A100's wins are more subtle and situational. Its 1.56 TB/s memory bandwidth edges out the RTX 6000D's 1.40 TB/s, a 11.4% advantage that matters for memory-bound HPC workloads like large matrix operations or data shuffling. The 5120-bit memory bus versus 448-bit is a stark difference in design philosophy—the A100 prioritizes raw bandwidth, the RTX 6000D relies on faster GDDR7 memory (25 Gbps effective) over a narrower interface. The A100 also consumes 250 W versus 600 W, making it far more power-efficient per watt for sustained compute, though the RTX 6000D delivers 4.98x the FP32 throughput for 2.4x the power draw—a favorable trade-off in raw performance per watt. The A100's 40 GB of HBM2e, while smaller than the 84 GB GDDR7, offers lower latency characteristics typical of HBM stacks.

Architecture Differences

The architectures could not be more different. The RTX 6000D uses the GB202 chip on Blackwell 2.0 architecture, built on TSMC's 5 nm process with 92,200 million transistors on a 750 mm² die (122.9M transistors per mm²). The A100 uses the GA100 chip on Ampere architecture, fabricated on TSMC's 7 nm process with 54,200 million transistors on a larger 826 mm² die (65.6M per mm²). The RTX 6000D achieves higher transistor density on a smaller die, enabling 3.6x more shading units and 1.44x more tensor cores (624 vs 432) within a more compact footprint.

Memory architecture diverges fundamentally. The RTX 6000D uses 84 GB of GDDR7 on a 448-bit bus, while the A100 uses 40 GB of HBM2e on a 5120-bit bus—a 12.8x wider interface that explains the bandwidth parity despite the A100's slower 2.4 Gbps effective memory speed versus 25 Gbps. The RTX 6000D's 1.40 TB/s bandwidth, while slightly lower, is achieved with far fewer memory pins, simplifying board design. Clock speeds tell a similar story: the RTX 6000D runs at 1992 MHz base and 2430 MHz boost, while the A100 idles at 765 MHz base and boosts to 1410 MHz—the newer architecture's higher clocks compound the core count advantage.

Feature differences are stark. The RTX 6000D supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and includes 4x DisplayPort 2.1b outputs. The A100 lists no API support and has no display outputs—it is a pure compute accelerator meant for servers. The RTX 6000D uses a 1x 16-pin power connector and recommends a 1000 W PSU, while the A100 uses an 8-pin EPS connector with a 600 W PSU suggestion. The RTX 6000D is also larger at 304 mm long versus 267 mm, and taller at 137 mm versus 111 mm, though both are dual-slot. Production status differs too: the RTX 6000D is Active with a 2025 release, while the A100 is End-of-life with a 2020 release. The A100's successor is listed as Server Ada, while the RTX 6000D's predecessor is Workstation Ada.

FAQ

Q: Which card has higher raw FP32 compute performance?

A: The RTX 6000D delivers 97.04 TFLOPS FP32, exactly 5x the A100's 19.49 TFLOPS. This is the single largest performance gap between the two cards.

Q: Does the A100 offer any performance advantage?

A: Yes, in memory bandwidth. The A100 provides 1.56 TB/s versus the RTX 6000D's 1.40 TB/s, a 11.4% advantage, despite having only 40 GB of memory compared to 84 GB.

Q: Can the A100 handle graphics workloads?

A: The data suggests no. The A100 has no RT cores, no display outputs, and no listed DirectX, OpenGL, or Vulkan support. It is designed exclusively for compute servers, unlike the RTX 6000D which has 156 RT cores and 4x DisplayPort outputs.

Q: What is the power consumption difference?

A: The RTX 6000D is rated at 600 W TDP with a 1000 W suggested PSU, while the A100 uses 250 W with a 600 W suggested PSU. The RTX 6000D consumes 2.4x more power but delivers 4.98x more FP32 throughput.

Q: How do they compare in average benchmark scores?

A: The RTX 6000D averages 195,964 across all benchmarks (98th percentile), while the A100 averages 162,504 (97th percentile)—a 20.6% gap in average performance.

Q: Which card is better for AI inference?

A: The RTX 6000D has 624 tensor cores versus the A100's 432, a 44.4% advantage. Combined with 97.04 TFLOPS FP16 (1:1) versus 77.97 TFLOPS (4:1), the RTX 6000D is positioned for superior AI throughput.

Specification Differences

| Specification | NVIDIA RTX 6000D | NVIDIA A100 PCIe 40 GB |

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

| Architecture | Blackwell 2.0 | Ampere |

| Process Node | 5 nm | 7 nm |

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

| Die Size | 750 mm² | 826 mm² |

| Transistor Density | 122.9M / mm² | 65.6M / mm² |

| Base Clock | 1992 MHz | 765 MHz |

| Boost Clock | 2430 MHz | 1410 MHz |

| Memory Size | 84 GB | 40 GB |

| Memory Type | GDDR7 | HBM2e |

| Memory Bus | 448 bit | 5120 bit |

| Memory Bandwidth | 1.40 TB/s | 1.56 TB/s |

| Shading Units | 19968 | 6912 |

| TMUs | 624 | 432 |

| ROPs | 192 | 160 |

| RT Cores | 156 | None |

| Tensor Cores | 624 | 432 |

| Pixel Rate | 466.6 GPixel/s | 225.6 GPixel/s |

| Texture Rate | 1,516.3 GTexel/s | 609.1 GTexel/s |

| FP32 | 97.04 TFLOPS | 19.49 TFLOPS |

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

| TDP | 600 W | 250 W |

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

| Suggested PSU | 1000 W | 600 W |

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

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

| APIs | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4 | None listed |

| Length | 304 mm | 267 mm |

| Height | 137 mm | 111 mm |

| Width | 40 mm | Not specified |

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

| Release Date | 2025-07-13 | 2020-06-21 |

| Predecessor | Workstation Ada | Tesla Turing |

| Successor | None | Server Ada |

The Verdict

The data paints an unambiguous picture for most use cases. The RTX 6000D is the superior card for graphics-intensive professional work, AI inference, and any FP32-heavy computation. Its 5x FP32 advantage, 44.4% more tensor cores, and 117.4% OpenCL lead over the A100 make it the default choice for new deployments in 2025 and beyond. The 84 GB memory capacity, 1.44x the A100's, also supports larger datasets without swapping. The 98th percentile ranking versus the A100's 97th confirms this card sits at the apex of the GPU hierarchy.

The A100's niche is narrower but real. Its 1.56 TB/s bandwidth and 250 W power draw make it attractive for memory-bandwidth-bound HPC workloads where power budgets are tight and the 5120-bit HBM2e interface shines. The 40 GB capacity, while smaller, is still substantial for many scientific models. For existing server infrastructure built around PCIe 4.0 and 8-pin EPS power, the A100 may drop into place without system upgrades. However, its End-of-life status and lack of display outputs limit its relevance to pure compute roles.

The verdict is clear: for anyone building a new workstation or server with mixed graphics and compute demands, the RTX 6000D is the data-backed choice. For legacy HPC clusters prioritizing bandwidth efficiency and power conservation, the A100 retains a purpose—but the RTX 6000D's launch MSRP of 8,565 USD, while significant, buys a card that dominates in nearly every measurable benchmark category. The 117.4% OpenCL delta is not a close contest; it is a generational statement.