NVIDIA A100 SXM4 80 GB vs NVIDIA RTX 6000D Comparison

NVIDIA’s RTX 6000D and A100 SXM4 80 GB represent two distinct generations of professional computing, with the former built on the Blackwell 2.0 architecture and the latter on the older Ampere design. The data shows that while both cards sit at the 98th percentile among all GPUs, their benchmark profiles and architectural priorities place them in different roles. The RTX 6000D is the newer, faster, and more feature-rich option for graphics and general compute, while the A100 SXM4 80 GB remains a specialized server part with a massive memory bandwidth advantage for specific workloads.

Where Each One Wins

The RTX 6000D wins decisively in raw compute throughput and graphics-oriented tasks. Its FP32 performance is listed at 97.04 TFLOPS, which is nearly five times the A100’s 19.49 TFLOPS. This makes the RTX 6000D the clear choice for any workload that relies heavily on single-precision floating-point math, such as real-time rendering, simulation, and scientific computing that does not require double precision. The card also delivers 1,516.3 GTexel/s texture rate and 466.6 GPixel/s pixel rate, dwarfing the A100’s 609.1 GTexel/s and 225.6 GPixel/s. In the 3DMark Steel Nomad DX12 test, the RTX 6000D scores 3522, a figure that no other benchmark in the pack can match for the A100.

The A100 SXM4 80 GB, however, wins in memory bandwidth. Its HBM2e memory provides 2.04 TB/s of bandwidth across a 5120-bit bus, compared to the RTX 6000D’s 1.40 TB/s over a 448-bit GDDR7 interface. This advantage is critical for memory-bound workloads like large language model inference, data analytics, and certain HPC applications where data movement, not compute, is the bottleneck. The A100 also has a lower TDP of 400 W versus the RTX 6000D’s 600 W, making it more power-efficient per watt in scenarios where its bandwidth is fully utilized. However, the A100’s only benchmark result in the pack is a Geekbench Vulkan score of 183725, which places it slightly behind the RTX 5000 Ada Generation (184664) by -0.5% and ahead of the GeForce RTX 4090 D (178050) by 3.2%. This shows that despite its age, the A100 is still competitive in certain synthetic tests, but it lacks the raw graphics muscle of the RTX 6000D.

Architecture Differences

The architectural gap between the two is generational. The RTX 6000D is built on the Blackwell 2.0 architecture, using a GB202 chip fabricated on a 5 nm process at TSMC. It contains 92,200 million transistors on a 750 mm² die, achieving a transistor density of 122.9M per mm². The A100 SXM4 80 GB uses the older Ampere architecture with a GA100 chip on a 7 nm process, housing 54,200 million transistors on a larger 826 mm² die, resulting in a density of just 65.6M per mm². This means the RTX 6000D packs nearly 70% more transistors into a slightly smaller area, explaining its massive compute advantage.

The RTX 6000D features 19,968 shading units, 624 TMUs, and 192 ROPs, alongside 156 RT cores and 624 tensor cores. The A100 has only 6,912 shading units, 432 TMUs, and 160 ROPs, with 432 tensor cores and no listed RT cores. The RTX 6000D also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the A100 has no listed API support, confirming its headless server nature. The RTX 6000D has 84 GB of GDDR7 memory, while the A100 has 80 GB of HBM2e. The RTX 6000D’s memory runs at 1560 MHz (25 Gbps effective), while the A100’s runs at 1593 MHz (3.2 Gbps effective), though the A100’s wider bus compensates with higher total bandwidth.

The RTX 6000D is a dual-slot PCIe 5.0 x16 card with 4x DisplayPort 2.1b outputs, a 1x 16-pin power connector, and a suggested PSU of 1000 W. The A100 SXM4 is an OAM module with no display outputs, no power connectors listed, and a suggested PSU of 800 W. The RTX 6000D is currently marked as Active in production, released on July 13, 2025, while the A100 is End-of-life, released November 15, 2020. The RTX 6000D lists a launch MSRP of 8,565 USD; the A100 has no launch MSRP in the data.

Head-to-Head Benchmarks

Direct head-to-head benchmark data is not available in the pack, so the comparison relies on individual scores and average benchmark figures. The RTX 6000D has an average benchmark score of 195,964 across its two tests (3DMark Steel Nomad DX12 at 3522 and Geekbench OpenCL at 388405). The A100 SXM4 80 GB has an average score of 183,725 from its single Geekbench Vulkan test.

Looking at rival comparisons, the RTX 6000D is 0.8% ahead of the Tesla V100S PCIe 32 GB (194415), 4.7% ahead of the A100 SXM4 40 GB (187147), and 6.1% ahead of the RTX 5000 Ada Generation (184664). However, it is 5.4% behind the A100 PCIe 80 GB (207124). The A100 SXM4 80 GB, meanwhile, is 0.5% behind the RTX 5000 Ada Generation (184664), 0.9% ahead of the RTX PRO 5000 Blackwell (182109), 1.8% behind the A100 SXM4 40 GB (187147), and 3.2% ahead of the GeForce RTX 4090 D (178050).

The most telling number is the FP32 compute gap: 97.04 TFLOPS versus 19.49 TFLOPS. This is a 4.98x difference in the RTX 6000D’s favor. In FP16, the RTX 6000D delivers 97.04 TFLOPS (1:1 ratio), while the A100 delivers 77.97 TFLOPS (4:1 ratio). The RTX 6000D’s FP16 is 1.24x higher, and it does so without relying on a 4:1 hardware trick. The A100’s memory bandwidth advantage is 2.04 TB/s versus 1.40 TB/s, a 1.46x difference in its favor. These are the two dominant metrics that separate the cards.

The Verdict

From the data, the RTX 6000D is the superior card for virtually all graphics and general-purpose compute tasks. Its 97.04 TFLOPS FP32 performance, 1,516.3 GTexel/s texture rate, and 466.6 GPixel/s pixel rate make it a workstation-class solution for rendering, AI training, and simulation. Its 84 GB of GDDR7 memory, while lower bandwidth than the A100, is still ample for large datasets. The RTX 6000D also has modern API support and display outputs, making it usable in a desktop workstation environment. Its 98th percentile ranking and average score of 195,964, which is 6.7% higher than the A100’s 183,725, confirm its overall lead.

The A100 SXM4 80 GB is for a narrow but critical niche: memory-bandwidth-bound server workloads. Its 2.04 TB/s bandwidth is unmatched in this comparison, and its 80 GB HBM2e pool is comparable in size. However, its compute capabilities are drastically lower, its architecture is two generations old, and it is end-of-life. The A100 is also an OAM module with no display outputs, so it is not a drop-in replacement for a workstation GPU. The data suggests that anyone needing raw compute, modern graphics features, or a long-term supported platform should choose the RTX 6000D. The A100 only makes sense for those who specifically require maximum memory bandwidth above all else and already have the server infrastructure to support OAM modules.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The RTX 6000D delivers 97.04 TFLOPS FP32, which is 4.98x higher than the A100 SXM4 80 GB’s 19.49 TFLOPS.

Q: How does memory bandwidth compare between the two?

A: The A100 SXM4 80 GB has 2.04 TB/s bandwidth from HBM2e memory, while the RTX 6000D has 1.40 TB/s from GDDR7. The A100’s advantage is 1.46x.

Q: What is the average benchmark score difference?

A: The RTX 6000D averages 195,964, while the A100 SXM4 80 GB averages 183,725. The RTX 6000D is 6.7% higher.

Q: Does the A100 support modern graphics APIs?

A: No. The A100 SXM4 80 GB has no listed DirectX, OpenGL, or Vulkan support, while the RTX 6000D supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Q: Which card has more memory and what type?

A: The RTX 6000D has 84 GB of GDDR7, while the A100 SXM4 80 GB has 80 GB of HBM2e. The RTX 6000D has 4 GB more capacity.

Q: What are the process node and transistor counts?

A: The RTX 6000D uses a 5 nm process with 92,200 million transistors on a 750 mm² die. The A100 uses a 7 nm process with 54,200 million transistors on an 826 mm² die.