NVIDIA A100 SXM4 80 GB vs NVIDIA RTX 4000 SFF Ada Generation Comparison

The NVIDIA A100 SXM4 80 GB and NVIDIA RTX 4000 SFF Ada Generation represent two distinct extremes in NVIDIA’s professional lineup: one is a massive, high-power server accelerator built for compute density, while the other is a compact, energy-efficient workstation card. The data shows a clear performance hierarchy, but the choice between them depends entirely on the workload and physical constraints of the deployment environment.

FAQ

Q: Which GPU has the higher benchmark score?

A: The NVIDIA A100 SXM4 80 GB achieves a Geekbench Vulkan score of 183,725, which is 68% higher than the RTX 4000 SFF Ada Generation’s score of 109,364 in the same test.

Q: How do their performance percentiles compare?

A: The A100 SXM4 80 GB sits in the 98th percentile of all GPUs, while the RTX 4000 SFF Ada Generation is in the 95th percentile. This places both in the top tier, but the A100 holds a notable edge.

Q: What are the key differences in memory configuration?

A: The A100 SXM4 80 GB features 80 GB of HBM2e on a 5120-bit bus with 2.04 TB/s bandwidth, whereas the RTX 4000 SFF has 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s bandwidth. The A100 offers four times the capacity and over seven times the bandwidth.

Q: Which card is more power-efficient?

A: The RTX 4000 SFF Ada Generation has a 70 W TDP compared to the A100’s 400 W TDP. The RTX 4000 SFF delivers 19.17 TFLOPS FP32 performance at roughly one-sixth the power draw.

Q: Do both cards support modern graphics APIs?

A: The RTX 4000 SFF Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A100 SXM4 80 GB has no listed API support for DirectX, OpenGL, or Vulkan, reflecting its compute-focused design.

Q: What is the physical form factor difference?

A: The A100 SXM4 80 GB is an OAM Module with no display outputs and no power connectors, designed for server integration. The RTX 4000 SFF is a Dual-slot card measuring 168 mm in length and 69 mm in height, with 4x mini-DisplayPort 1.4a outputs.

Architecture Differences

The A100 SXM4 80 GB is built on the GA100 chip using the Ampere architecture, fabricated on TSMC’s 7 nm process. It packs 54,200 million transistors into a massive 826 mm² die, yielding a transistor density of 65.6M per mm². The RTX 4000 SFF Ada Generation uses the AD104 chip with the Ada Lovelace architecture, manufactured on a more advanced 5 nm process. It contains 35,800 million transistors on a 294 mm² die, achieving a much higher density of 121.8M per mm².

The A100’s compute core array is larger in terms of raw hardware resources: 6912 shading units, 432 TMUs, 160 ROPs, and 432 tensor cores. The RTX 4000 SFF has 6144 shading units, 192 TMUs, 64 ROPs, and 192 tensor cores, but it adds 48 dedicated RT cores that the A100 lacks entirely. Clock speeds also diverge significantly: the A100 runs at a 1275 MHz base and 1410 MHz boost, while the RTX 4000 SFF operates at a much lower 720 MHz base but boosts to 1560 MHz.

Memory architecture represents a fundamental split. The A100 uses HBM2e with a 5120-bit bus and 2.04 TB/s bandwidth, while the RTX 4000 SFF relies on GDDR6 with a 160-bit bus and 280.0 GB/s. The A100’s FP16 throughput is 77.97 TFLOPS (4:1 ratio), whereas the RTX 4000 SFF delivers 19.17 TFLOPS FP16 (1:1 ratio), indicating the A100’s heavy investment in mixed-precision compute.

Head-to-Head Benchmarks

The only direct benchmark comparison available is Geekbench Vulkan, and the results are decisively one-sided. The A100 SXM4 80 GB scores 183,725, while the RTX 4000 SFF Ada Generation manages 109,364. This translates to a 68% advantage for the A100, a massive gap that reflects the fundamental differences in their design philosophies.

The A100’s nearest rival, the RTX 5000 Ada Generation, scores 184,664, which is just 0.5% higher than the A100. This proximity shows that the A100 is competitive with newer workstation flagships in this specific test. The RTX 4000 SFF, by contrast, sits close to the NVIDIA GB10 (117,393, only 0.3% higher) and the AMD Radeon PRO W7700 (118,976, 1.6% higher), placing it in a distinctly lower performance tier.

In terms of percentile ranking, the A100’s 98th percentile versus the RTX 4000 SFF’s 95th percentile underscores a meaningful gap, but both cards are elite performers. The A100’s score is also 3.2% higher than the GeForce RTX 4090 D (178,050) and 0.9% higher than the RTX PRO 5000 Blackwell (182,109), demonstrating its staying power against newer generations.

Specification Differences

The two cards diverge on nearly every measurable specification. The A100 SXM4 80 GB uses the Ampere architecture on a 7 nm process, while the RTX 4000 SFF uses Ada Lovelace on 5 nm. Transistor counts are 54,200 million versus 35,800 million, and die sizes are 826 mm² versus 294 mm², respectively.

Memory capacity differs by 60 GB (80 GB vs 20 GB), and the memory types are entirely different: HBM2e versus GDDR6. Bus widths are 5120-bit versus 160-bit, and memory bandwidth is 2.04 TB/s versus 280.0 GB/s. The A100 has more shading units (6912 vs 6144), more TMUs (432 vs 192), and more ROPs (160 vs 64). The A100 also has more tensor cores (432 vs 192), but only the RTX 4000 SFF has RT cores (48).

Clock behavior is inverted: the A100 has a higher base clock (1275 MHz vs 720 MHz) but a lower boost clock (1410 MHz vs 1560 MHz). FP32 performance is nearly identical at 19.49 TFLOPS for the A100 versus 19.17 TFLOPS for the RTX 4000 SFF, but FP16 performance is dramatically different at 77.97 TFLOPS versus 19.17 TFLOPS. Power consumption is 400 W versus 70 W, and the suggested PSU is 800 W versus 250 W. The A100 is an OAM Module with no display outputs, while the RTX 4000 SFF is a Dual-slot card with 4x mini-DisplayPort 1.4a. The A100 is end-of-life with a release date of November 2020, while the RTX 4000 SFF is active with a March 2023 release.

Where Each One Wins

The A100 SXM4 80 GB is the clear winner for raw compute performance, particularly in Vulkan workloads where it leads by 68%. Its 80 GB of HBM2e memory with 2.04 TB/s bandwidth makes it ideal for large-scale data processing, AI training, and scientific simulations that require massive memory capacity and extreme bandwidth. The 77.97 TFLOPS FP16 throughput indicates a specialization in mixed-precision workloads common in deep learning. The 98th percentile ranking confirms its position among the fastest GPUs ever made, even at end-of-life status.

The RTX 4000 SFF Ada Generation wins on efficiency and versatility. Its 70 W TDP allows deployment in compact workstations where power and thermal limits are strict, and its 250 W suggested PSU requirement makes it accessible for standard desktop systems. The inclusion of 48 RT cores and full API support (DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4) means it can handle ray tracing and traditional graphics workloads that the A100 cannot. The 4x mini-DisplayPort outputs enable multi-monitor setups, and the 168 mm length fits in small form factor chassis. Its 19.17 TFLOPS FP32 performance is nearly identical to the A100’s 19.49 TFLOPS, making it competitive for single-precision tasks at a fraction of the power draw.

The A100’s nearest rival data shows it competes with the RTX 5000 Ada Generation (within 0.5%), but the RTX 4000 SFF’s rivals are in a lower tier, such as the AMD Radeon PRO W7700 (1.6% higher) and the Tesla V100 SXM2 (2.4% higher). This confirms the A100 targets a higher performance class, while the RTX 4000 SFF targets mainstream professional workstations. For users prioritizing maximum compute and memory bandwidth, the A100 is the obvious choice. For those needing a compact, quiet, low-power card with display outputs and modern graphics features, the RTX 4000 SFF is the practical solution.