NVIDIA A100 PCIe 80 GB vs NVIDIA RTX 5000 Ada Generation Comparison

The NVIDIA A100 PCIe 80 GB and the NVIDIA RTX 5000 Ada Generation target different corners of the professional GPU market, and their benchmark results reflect that split. The A100 is a data-center compute accelerator built for throughput at scale, while the RTX 5000 Ada is a workstation card that balances compute with graphics and visualisation features. The data shows a single head-to-head benchmark, but the surrounding specifications and rival comparisons paint a clear picture of two very different tools.

Where Each One Wins

The A100 PCIe 80 GB wins the only direct benchmark comparison in the data. In the Geekbench OpenCL test, the A100 scores 207,124 points against the RTX 5000 Ada's 175,286, a margin of 18.2%. This is a substantial, single-test victory that positions the A100 as the stronger raw compute engine.

However, the RTX 5000 Ada does not lose everywhere by default. It holds a second benchmark result that the A100 lacks entirely: a Geekbench Vulkan score of 194,041. This indicates the RTX 5000 Ada has a graphics-oriented software stack and driver support that the A100 does not offer, since the A100 lists "No outputs" for display connectivity. The RTX 5000 Ada also reports 100 RT cores and a DirectX 12 Ultimate API rating, features that are absent (null) from the A100's specification sheet. For workloads involving ray tracing, real-time visualisation, or DirectX-based rendering, the RTX 5000 Ada is the only one of the two that can even participate.

The A100's win is in raw compute density. Its 80 GB of HBM2e memory with 1.94 TB/s of bandwidth dwarfs the RTX 5000 Ada's 32 GB GDDR6 at 576.0 GB/s. That bandwidth advantage is critical for large-scale AI training and inference tasks where data movement is the bottleneck. The A100 also uses a 7 nm process node with a 826 mm² die, versus the RTX 5000 Ada's smaller 609 mm² die on 5 nm, indicating a design philosophy that favours memory bandwidth and massive parallel throughput over clock speed efficiency.

Architecture Differences

The architectural gap between the two is generational. The A100 uses the Ampere architecture (chip GA100) from the "Server Ampere (Axx)" generation, while the RTX 5000 Ada uses the Ada Lovelace architecture (chip AD102) from the "Workstation Ada (x000A)" generation. This is not a minor revision; it is a complete redesign with different priorities.

The A100 packs 54,200 million transistors on its 826 mm² die, a density of 65.6M transistors per mm². The RTX 5000 Ada has more transistors overall — 76,300 million — but fits them on a smaller 609 mm² die, achieving a much higher density of 125.3M per mm². This reflects the newer 5 nm process node versus the A100's 7 nm node.

The memory systems are fundamentally different. The A100 uses HBM2e with a 5120-bit bus width and 1.94 TB/s bandwidth. The RTX 5000 Ada uses GDDR6 with a 256-bit bus and 576.0 GB/s. The A100's memory bandwidth is more than three times higher, but the RTX 5000 Ada's memory runs at a much higher effective speed: 18 Gbps effective versus 3 Gbps effective on the A100.

Compute resources also diverge sharply. The A100 has 6,912 shading units, 432 TMUs, and 160 ROPs, plus 432 tensor cores and no RT cores listed. The RTX 5000 Ada has 12,800 shading units (nearly double), 400 TMUs, and 176 ROPs, plus 400 tensor cores and 100 RT cores. The A100's FP32 throughput is 19.49 TFLOPS, while the RTX 5000 Ada reaches 65.28 TFLOPS. For FP16, the A100 hits 77.97 TFLOPS (4:1 ratio), while the RTX 5000 Ada matches its FP32 at 65.28 TFLOPS (1:1 ratio). The A100's FP16 advantage comes from its tensor-core-oriented design, but the RTX 5000 Ada's raw shader throughput is far higher.

Head-to-Head Benchmarks

The only direct comparison in the data is Geekbench OpenCL, and it is a decisive win for the A100. The A100 scores 207,124 versus the RTX 5000 Ada's 175,286, a delta of 18.2% in favour of the A100. This is not a marginal difference; it is a significant performance gap that suggests the A100's memory bandwidth and compute architecture are better suited to OpenCL's workload patterns.

Context from nearest rivals strengthens this finding. The A100's nearest rival is the AMD Radeon PRO W7900D, which scores 219,827 and beats the A100 by 5.8%. The A100 also trails the NVIDIA PG506-232 by 8% (225,124). It leads the NVIDIA RTX 6000D by 5.7% (195,964) and the Tesla V100S PCIe 32 GB by 6.5% (194,415). This places the A100 in the upper tier of server accelerators, but not at the absolute top.

The RTX 5000 Ada's nearest rivals tell a different story. Its average benchmark score is 184,664, and its closest competitor is the NVIDIA A100 SXM4 80 GB at 183,725, a mere 0.5% difference. It also nearly matches the A100 SXM4 40 GB (187,147, which beats it by 1.3%) and the RTX PRO 5000 Blackwell (182,109, which it beats by 1.4%). The RTX 5000 Ada even edges out the GeForce RTX 4090 D (178,050) by 3.7%. This suggests that the RTX 5000 Ada's workstation performance is highly competitive with server-grade A100 variants in OpenCL, despite the A100 PCIe 80 GB's direct win over it.

The RTX 5000 Ada's Vulkan score of 194,041 is worth noting, though no direct comparison is available. It sits above its own OpenCL score, indicating strong graphics API performance. The A100 has no Vulkan score at all, reinforcing its role as a compute-only device.

FAQ

Q: Which GPU is faster in the only direct benchmark comparison?

A: The NVIDIA A100 PCIe 80 GB wins Geekbench OpenCL with 207,124 points versus the RTX 5000 Ada's 175,286, a lead of 18.2%.

Q: Does the RTX 5000 Ada have any benchmark advantage?

A: It holds a Geekbench Vulkan score of 194,041, a test the A100 does not participate in. The A100 lists no display outputs and no Vulkan API support, so this is an exclusive result for the RTX 5000 Ada.

Q: How does the A100 compare to its closest rivals?

A: It leads the NVIDIA RTX 6000D by 5.7% (195,964) and the Tesla V100S PCIe 32 GB by 6.5% (194,415), but trails the AMD Radeon PRO W7900D by 5.8% (219,827) and the NVIDIA PG506-232 by 8% (225,124).

Q: How does the RTX 5000 Ada stack up against server A100 variants?

A: It is essentially tied with the A100 SXM4 80 GB (183,725, a 0.5% difference) and trails the A100 SXM4 40 GB (187,147) by 1.3%. It beats the RTX PRO 5000 Blackwell (182,109) by 1.4% and the GeForce RTX 4090 D (178,050) by 3.7%.

Q: What are the memory capacity and bandwidth differences?

A: The A100 has 80 GB of HBM2e with a 5120-bit bus and 1.94 TB/s bandwidth. The RTX 5000 Ada has 32 GB of GDDR6 with a 256-bit bus and 576.0 GB/s bandwidth.

Q: Which card has higher raw shader throughput?

A: The RTX 5000 Ada has 12,800 shading units and 65.28 TFLOPS FP32, while the A100 has 6,912 shading units and 19.49 TFLOPS FP32. The RTX 5000 Ada also has 100 RT cores, which the A100 lacks entirely.

Specification Differences

The two cards differ on nearly every core specification. The A100 is built on a 7 nm process with 54,200 million transistors on an 826 mm² die; the RTX 5000 Ada uses 5 nm with 76,300 million transistors on a 609 mm² die. Transistor density is 65.6M per mm² for the A100 versus 125.3M per mm² for the RTX 5000 Ada.

Clock speeds diverge significantly. The A100 runs at 1065 MHz base and 1410 MHz boost, while the RTX 5000 Ada runs at 1155 MHz base and 2550 MHz boost. Memory clocks also differ: the A100 uses 1512 MHz (3 Gbps effective), while the RTX 5000 Ada uses 2250 MHz (18 Gbps effective).

Memory configuration is a major differentiator. The A100 has 80 GB HBM2e on a 5120-bit bus with 1.94 TB/s bandwidth. The RTX 5000 Ada has 32 GB GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth.

Compute resources differ in count and type. The A100 has 6,912 shading units, 432 TMUs, 160 ROPs, and 432 tensor cores, with no RT cores. The RTX 5000 Ada has 12,800 shading units, 400 TMUs, 176 ROPs, 400 tensor cores, and 100 RT cores. Pixel rates are 225.6 GPixel/s for the A100 and 448.8 GPixel/s for the RTX 5000 Ada. Texture rates are 609.1 GTexel/s versus 1,020.0 GTexel/s.

FP32 throughput is 19.49 TFLOPS for the A100 and 65.28 TFLOPS for the RTX 5000 Ada. FP16 throughput is 77.97 TFLOPS (4:1) for the A100 and 65.28 TFLOPS (1:1) for the RTX 5000 Ada.

Power and physical specs also differ. The A100 has a 300 W TDP with an 8-pin EPS connector and a suggested 700 W PSU. The RTX 5000 Ada has a 250 W TDP with a 1x 16-pin connector and a suggested 600 W PSU. Both are dual-slot and 267 mm long, but the A100 is 111 mm high while the RTX 5000 Ada is 112 mm high.

Display output is a binary difference: the A100 has no outputs, while the RTX 5000 Ada has 4x DisplayPort 1.4a. The A100 lists no DirectX, OpenGL, or Vulkan API support, while the RTX 5000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A100 uses PCIe 4.0 x16, as does the RTX 5000 Ada — a rare shared spec. Production status also differs: the A100 is end-of-life, while the RTX 5000 Ada is active.