NVIDIA A100 PCIe 40 GB vs NVIDIA RTX 6000 Ada Generation Comparison

# Head-to-Head Benchmarks

The benchmark data shows a decisive performance gap between the NVIDIA RTX 6000 Ada Generation and the NVIDIA A100 PCIe 40 GB. In the Geekbench OpenCL test, the RTX 6000 Ada scores 311,629 points, while the A100 PCIe 40 GB manages 178,627 points. This represents a 74.5% advantage for the RTX 6000 Ada, a substantial margin that places the two cards in entirely different performance tiers.

The Vulkan results tell a similar story. The RTX 6000 Ada achieves 262,845 points compared to the A100's 146,380 points, yielding a 79.6% delta in favor of the Ada card. Across both available benchmarks, the RTX 6000 Ada wins outright with a 2-0 record. The average benchmark score reinforces this hierarchy: the RTX 6000 Ada sits at 287,237, while the A100 PCIe 40 GB averages 162,504. That is roughly a 76.7% difference in aggregate performance.

Context from the nearest rival data adds further perspective. The RTX 6000 Ada's average score of 287,237 places it 1.1% above the NVIDIA L40 (284,111) and 2.9% below the L40S (295,763). It trails the AMD Instinct MI300X (317,994) by 9.7% but leads the NVIDIA L20 (251,147) by 14.4%. The A100 PCIe 40 GB, meanwhile, sits at 162,504, which is 1.1% above the AMD Radeon Pro W6800X (160,671) but 1.4% below the AMD Radeon PRO W7800 (164,894) and 1.6% below the NVIDIA RTX A5500 (165,217). The gap between these two cards is so large that the RTX 6000 Ada's nearest rivals are all newer or more specialized hardware, while the A100's competition comes from workstation-class GPUs that occupy a lower performance bracket.

# Architecture Differences

The architectural divide between these two NVIDIA offerings is fundamental. The RTX 6000 Ada Generation is built on the AD102 chip using the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. The A100 PCIe 40 GB uses the GA100 chip with the older Ampere architecture, manufactured on a 7 nm process, also at TSMC. The process node difference alone—5 nm versus 7 nm—explains much of the efficiency and density gap between them.

Transistor counts tell a nuanced story. The RTX 6000 Ada packs 76,300 million transistors onto a 609 mm² die, achieving a transistor density of 125.3 million per mm². The A100 PCIe 40 GB contains 54,200 million transistors on a larger 826 mm² die, resulting in a much lower density of 65.6 million per mm². Despite having a physically larger chip, the A100 has fewer transistors because its older process node cannot pack them as tightly.

The compute resources differ dramatically. The RTX 6000 Ada features 18,176 shading units, 568 texture mapping units, 192 raster operations units, 142 ray tracing cores, and 568 tensor cores. The A100 PCIe 40 GB offers 6,912 shading units, 432 TMUs, 160 ROPs, and 432 tensor cores—and notably, it has no ray tracing cores at all. This is a fundamental architectural difference: Ada Lovelace includes dedicated RT hardware, while Ampere's server-focused GA100 omits it entirely.

Clock speeds also diverge sharply. The RTX 6000 Ada has a base clock of 915 MHz and a boost clock of 2,505 MHz. The A100 PCIe 40 GB runs at a 765 MHz base and 1,410 MHz boost. The Ada card's much higher boost clock, combined with its larger shader count, produces its commanding lead in raw throughput. The pixel rate is 481.0 GPixel/s for the RTX 6000 Ada versus 225.6 GPixel/s for the A100, and the texture rate is 1,422.8 GTexel/s versus 609.1 GTexel/s.

FP32 and FP16 performance further illustrates the split. The RTX 6000 Ada delivers 91.06 TFLOPS for both FP32 and FP16 (at a 1:1 ratio). The A100 PCIe 40 GB provides 19.49 TFLOPS for FP32 and 77.97 TFLOPS for FP16, but at a 4:1 ratio, meaning its FP16 throughput is achieved through a different execution path. For general single-precision work, the RTX 6000 Ada is roughly 4.7 times faster.

# Where Each One Wins

The RTX 6000 Ada Generation wins every benchmark in the data set, so the "where" question is about the nature of its dominance rather than any A100 advantage. In Geekbench OpenCL, the RTX 6000 Ada's 74.5% lead suggests workloads that stress general compute and memory bandwidth will strongly favor the Ada card. In Vulkan, the 79.6% margin indicates graphics and compute workloads using that API also lean heavily toward the RTX 6000 Ada.

The A100 PCIe 40 GB does not win any benchmark in this comparison. However, its specification profile points to specific use cases where it remains relevant, even if the benchmark data does not capture them. The A100's memory configuration—40 GB of HBM2e on a 5,120-bit bus with 1.56 TB/s bandwidth—exceeds the RTX 6000 Ada's 48 GB of GDDR6 on a 384-bit bus with 960.0 GB/s bandwidth in raw bandwidth terms. The A100 offers 62.5% more memory bandwidth, which matters for memory-bound workloads that the Geekbench suite may not fully exercise.

The A100's FP16 throughput of 77.97 TFLOPS, while achieved at a 4:1 ratio, is close to the RTX 6000 Ada's 91.06 TFLOPS. For mixed-precision AI inference or training workloads that rely on tensor cores, the A100 remains competitive despite its older architecture. The RTX 6000 Ada's tensor cores are more numerous (568 versus 432) and benefit from newer architectural improvements, but the A100's higher memory bandwidth could offset some of that advantage in large-batch scenarios.

The RTX 6000 Ada also has display outputs (4x DisplayPort 1.4a), while the A100 has no outputs at all. This makes the Ada card suitable for workstation visualization tasks, whereas the A100 is strictly a compute accelerator for server environments.

# Specification Differences

The two cards differ across nearly every specification field. The RTX 6000 Ada uses the AD102 chip on 5 nm, while the A100 uses GA100 on 7 nm. Transistor counts are 76,300 million versus 54,200 million, and die sizes are 609 mm² versus 826 mm². The RTX 6000 Ada's base clock is 915 MHz, boosting to 2,505 MHz; the A100 runs at 765 MHz base and 1,410 MHz boost.

Memory is a major differentiator. The RTX 6000 Ada has 48 GB of GDDR6 with a 384-bit bus and 960.0 GB/s bandwidth. The A100 has 40 GB of HBM2e with a 5,120-bit bus and 1.56 TB/s bandwidth. Memory clock speeds are 2,500 MHz (20 Gbps effective) for the Ada card versus 1,215 MHz (2.4 Gbps effective) for the A100.

Compute resources: the RTX 6000 Ada has 18,176 shading units, 568 TMUs, 192 ROPs, 142 RT cores, and 568 tensor cores. The A100 has 6,912 shading units, 432 TMUs, 160 ROPs, no RT cores, and 432 tensor cores. Pixel rate is 481.0 GPixel/s versus 225.6 GPixel/s, and texture rate is 1,422.8 GTexel/s versus 609.1 GTexel/s.

FP32 performance is 91.06 TFLOPS for the Ada card versus 19.49 TFLOPS for the A100. FP16 is 91.06 TFLOPS (1:1) versus 77.97 TFLOPS (4:1). Power draw differs: 300 W for the RTX 6000 Ada versus 250 W for the A100. The Ada card uses a 1x 16-pin connector with a 700 W suggested PSU; the A100 uses an 8-pin EPS connector with a 600 W suggested PSU.

The RTX 6000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A100 lists no API support in the data. The Ada card has 4x DisplayPort 1.4a outputs; the A100 has none. Both are dual-slot cards with similar dimensions—the RTX 6000 Ada is 267 mm long and 112 mm high, while the A100 is 267 mm long and 111 mm high. Both use PCIe 4.0 x16.

The RTX 6000 Ada launched on December 2, 2022, with a launch MSRP of 6,799 USD. The A100 launched on June 21, 2020, with no MSRP listed. Both are end-of-life. The Ada card's predecessor is Workstation Ampere and its successor is Blackwell PRO W; the A100's predecessor is Tesla Turing and its successor is Server Ada.

# FAQ

Q: How much faster is the RTX 6000 Ada than the A100 in OpenCL?

A: The RTX 6000 Ada scores 311,629 in Geekbench OpenCL versus 178,627 for the A100 PCIe 40 GB, a 74.5% advantage.

Q: Does the A100 win any benchmark against the RTX 6000 Ada?

A: No. Across the two available benchmarks (Geekbench OpenCL and Geekbench Vulkan), the RTX 6000 Ada wins both with a 2-0 record.

Q: What memory bandwidth does each card offer?

A: The RTX 6000 Ada has 960.0 GB/s bandwidth from 48 GB of GDDR6 on a 384-bit bus. The A100 has 1.56 TB/s bandwidth from 40 GB of HBM2e on a 5,120-bit bus.

Q: Does the A100 have ray tracing cores?

A: No. The A100 PCIe 40 GB has no RT cores, while the RTX 6000 Ada includes 142 ray tracing cores.

Q: What is the FP32 performance difference?

A: The RTX 6000 Ada delivers 91.06 TFLOPS FP32, while the A100 delivers 19.49 TFLOPS FP32—a roughly 4.7x difference.

Q: Which card has display outputs?

A: The RTX 6000 Ada has 4x DisplayPort 1.4a outputs. The A100 has no display outputs.

# The Verdict

The data is unambiguous: the NVIDIA RTX 6000 Ada Generation outperforms the NVIDIA A100 PCIe 40 GB by a massive margin in every measured benchmark. With a 74.5% lead in OpenCL and a 79.6% lead in Vulkan, the RTX 6000 Ada is the superior choice for any workload captured by these tests. Its 91.06 TFLOPS FP32 performance, 18,176 shading units, and 142 RT cores give it a generational advantage that the A100's older Ampere architecture cannot match.

The RTX 6000 Ada also offers more memory capacity (48 GB versus 40 GB) and display outputs, making it a more versatile card for workstation use. Its 5 nm process node, higher clock speeds, and newer Ada Lovelace architecture deliver a level of compute density that the 7 nm A100 cannot approach. For users prioritizing raw benchmark performance, general compute, or graphics workloads, the RTX 6000 Ada is the clear pick.

However, the A100 retains specific strengths in areas the benchmarks do not directly measure. Its 1.56 TB/s memory bandwidth is 62.5% higher than the RTX 6000 Ada's 960.0 GB/s, and its 40 GB HBM2e pool may be preferable for certain memory-bound server workloads. Its FP16 throughput of 77.97 TFLOPS is close to the Ada card's 91.06 TFLOPS, and its 432 tensor cores still support AI workloads. The A100's 250 W power draw is also lower than the RTX 6000 Ada's 300 W.

The RTX 6000 Ada's average benchmark score of 287,237 places it in the 99th percentile of all GPUs, while the A100's 162,504 sits in the 97th percentile. The nearest rivals for the RTX 6000 Ada—the L40, L40S, and Instinct MI300X—are all newer or specialized accelerators, not the A100. The A100's nearest competitors are workstation cards like the RTX A5500 and RTX 4500 Ada, which occupy a lower tier.

Who should pick which? Users running Geekbench-style compute or graphics workloads should choose the RTX 6000 Ada without hesitation. It wins every benchmark, offers more memory capacity, includes display outputs, and supports modern graphics APIs. The A100 PCIe 40 GB is appropriate for server deployments where HBM2e bandwidth and lower power draw are critical, and where display output and consumer API support are irrelevant. For everyone else, the data points decisively to the RTX 6000 Ada Generation.