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

The NVIDIA A100 SXM4 80 GB and the NVIDIA RTX 4000 Ada Generation represent two distinct philosophies in professional computing: one is a massive server accelerator built for scale-out data centers, while the other is a compact workstation card designed for the desktop. While both carry the NVIDIA badge, the benchmark data reveals they are not direct competitors but rather tools for fundamentally different workloads.

Head-to-Head Benchmarks

The only directly comparable benchmark in the data is the Geekbench Vulkan test, and the results are decisively one-sided. In this test, the NVIDIA A100 SXM4 80 GB scores 183,725 points, while the NVIDIA RTX 4000 Ada Generation trails significantly with a score of 123,842. This gives the A100 a 48.4% lead over the RTX 4000 Ada, establishing a clear performance hierarchy in compute-heavy tasks.

This 48.4% advantage is substantial. Looking at the A100's nearest rivals in the broader database, its score of 183,725 places it just 0.5% behind the NVIDIA RTX 5000 Ada Generation (184,664) and 0.9% ahead of the NVIDIA RTX PRO 5000 Blackwell (182,109). It even outperforms the NVIDIA GeForce RTX 4090 D (178,050) by 3.2%. The A100's standing is further solidified by its 98th percentile ranking across all GPUs, indicating it sits at the very top tier of graphics hardware performance.

The RTX 4000 Ada, while losing this head-to-head matchup, is still a formidable performer in its own right. Its Vulkan score of 123,842 places it at the 95th percentile of all GPUs, which is just below the A100's 98th percentile ranking. However, a score of 123,842 puts the RTX 4000 Ada essentially on par with its nearest rivals: the NVIDIA A10M (135,230, deltaPct 0), the AMD Radeon PRO W6800 (135,396, deltaPct -0.1), and the AMD Radeon Pro W6800X Duo (135,774, deltaPct -0.4). The data shows that while the A100 is in a class of its own, the RTX 4000 Ada is competitive within the workstation segment.

The deltaPct figures are telling. The A100's 48.4% lead over the RTX 4000 Ada is far larger than the 3.2% lead it holds over the GeForce RTX 4090 D, its fourth-closest rival. This suggests the performance gap between the server-grade A100 and the workstation-grade RTX 4000 Ada is not marginal but fundamental, reflecting their different design goals and target markets.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA A100 SXM4 80 GB has an average benchmark score of 183,725, while the NVIDIA RTX 4000 Ada Generation has an average score of 135,218. This represents a significant gap of roughly 36% in favor of the A100.

Q: How does the RTX 4000 Ada Generation compare to its closest rivals?

A: The RTX 4000 Ada Generation has a Vulkan score of 123,842, and its average benchmark score is 135,218. It is effectively tied with the NVIDIA A10M, which has a deltaPct of 0, and is only 0.1% behind the AMD Radeon PRO W6800. This indicates it is well-positioned within its competitive set.

Q: Is the A100 SXM4 80 GB still a top-tier performer?

A: Yes. The A100 SXM4 80 GB ranks in the 98th percentile of all GPUs. Its Vulkan score of 183,725 is 3.2% ahead of the NVIDIA GeForce RTX 4090 D and 0.9% ahead of the NVIDIA RTX PRO 5000 Blackwell, proving it remains highly competitive despite being an earlier architecture.

Q: Does the RTX 4000 Ada Generation support modern graphics APIs?

A: Yes, the RTX 4000 Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. In contrast, the A100 SXM4 80 GB does not have listed API support for DirectX, OpenGL, or Vulkan, reflecting its server-focused design.

Q: What is the production status of each GPU?

A: The NVIDIA A100 SXM4 80 GB is listed as end-of-life, meaning it has been discontinued. The NVIDIA RTX 4000 Ada Generation is listed as active, indicating it is still in production and available for purchase.

Architecture Differences

The two GPUs are built on entirely different architectures and process nodes. The A100 SXM4 80 GB uses the GA100 chip on the Ampere architecture, fabricated on TSMC's 7 nm process. This is a massive chip with 54,200 million transistors on a 826 mm² die, yielding a transistor density of 65.6 million transistors per square millimeter. The RTX 4000 Ada Generation, on the other hand, uses the AD104 chip on the newer Ada Lovelace architecture, fabricated on TSMC's 5 nm process. This chip is considerably smaller, with 35,800 million transistors on a 294 mm² die, but achieves a much higher transistor density of 121.8 million transistors per square millimeter.

These architectural differences manifest in starkly different compute capabilities. The A100 SXM4 80 GB packs 6,912 shading units, 432 texture mapping units, and 160 render output units. It has 432 tensor cores and no listed ray tracing cores. Its FP32 compute is rated at 19.49 TFLOPS, while its FP16 performance is 77.97 TFLOPS with a 4:1 ratio. The RTX 4000 Ada Generation has fewer shading units (6,144), TMUs (192), and ROPs (64), but it includes 48 dedicated ray tracing cores and 192 tensor cores. Its FP32 performance is higher at 26.73 TFLOPS, while its FP16 performance is the same 26.73 TFLOPS with a 1:1 ratio.

Memory architecture is another major differentiator. The A100 SXM4 80 GB uses 80 GB of HBM2e memory on a 5120-bit bus, delivering a bandwidth of 2.04 TB/s. The RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing 360.0 GB/s of bandwidth. This represents a massive difference in both capacity and bandwidth, with the A100 offering roughly 5.7 times the bandwidth of the RTX 4000 Ada.

The Verdict

The data presents a clear picture: these are not competing products but complementary tools for different jobs. The NVIDIA A100 SXM4 80 GB is a server-class accelerator with a 48.4% lead in Vulkan performance over the RTX 4000 Ada Generation. It offers 80 GB of HBM2e memory with 2.04 TB/s of bandwidth, making it suitable for massive datasets and high-throughput compute. Its 77.97 TFLOPS FP16 performance with a 4:1 ratio indicates a strong focus on AI and machine learning workloads. The A100 ranks in the 98th percentile of all GPUs and sits at the top of its performance class.

The NVIDIA RTX 4000 Ada Generation is a workstation card designed for professional graphics and compute. While it trails the A100 significantly in raw compute throughput, it still ranks in the 95th percentile of all GPUs and is competitive with its direct rivals like the NVIDIA A10M and AMD Radeon PRO W6800. Its 26.73 TFLOPS FP32 performance exceeds that of the A100, suggesting it may be better suited for single-precision workloads. It also supports modern graphics APIs like DirectX 12 Ultimate and Vulkan 1.4, which the A100 lacks.

The choice between these two GPUs should be driven by the intended workload. For users who need maximum memory bandwidth, massive memory capacity, and top-tier FP16 compute for AI training or inference, the A100 SXM4 80 GB is the clear choice. For those who need a single-slot, low-power workstation card with ray tracing support and modern API compatibility for professional graphics or CAD work, the RTX 4000 Ada Generation is the appropriate option. The A100's end-of-life status is a consideration, while the RTX 4000 Ada remains active in production. The RTX 4000 Ada's 130 W TDP and single-slot form factor make it far more accessible for desktop workstations, whereas the A100's 400 W TDP and OAM module form factor require specialized server infrastructure.

Specification Differences

The two GPUs differ across nearly every major specification category. The A100 SXM4 80 GB uses the GA100 chip on the Ampere architecture with a 7 nm process, while the RTX 4000 Ada Generation uses the AD104 chip on the Ada Lovelace architecture with a 5 nm process. The A100 has 54,200 million transistors on an 826 mm² die, while the RTX 4000 Ada has 35,800 million transistors on a 294 mm² die.

Clock speeds favor the RTX 4000 Ada, which has a base clock of 1500 MHz and a boost clock of 2175 MHz, compared to the A100's 1275 MHz base and 1410 MHz boost. Memory configurations are vastly different: the A100 has 80 GB of HBM2e on a 5120-bit bus with 2.04 TB/s bandwidth, while the RTX 4000 Ada has 20 GB of GDDR6 on a 160-bit bus with 360.0 GB/s bandwidth.

Compute resources differ significantly. The A100 has 6,912 shading units, 432 TMUs, 160 ROPs, and 432 tensor cores, with no ray tracing cores. The RTX 4000 Ada has 6,144 shading units, 192 TMUs, 64 ROPs, 192 tensor cores, and 48 ray tracing cores. FP32 performance favors the RTX 4000 Ada at 26.73 TFLOPS versus the A100's 19.49 TFLOPS, but FP16 performance heavily favors the A100 at 77.97 TFLOPS versus 26.73 TFLOPS.

Power and form factor also diverge. The A100 has a 400 W TDP, uses an OAM Module slot width, and has no power connectors or display outputs. The RTX 4000 Ada has a 130 W TDP, is single-slot, uses a single 16-pin power connector, and has 4x DisplayPort 1.4a outputs. The suggested PSU is 800 W for the A100 and 300 W for the RTX 4000 Ada. The RTX 4000 Ada measures 245 mm in length and 112 mm in height, while the A100 has no listed dimensions. The A100 was released on November 15, 2020, while the RTX 4000 Ada was released on August 8, 2023.