NVIDIA RTX 4000 Ada Generation vs NVIDIA Rubin GPU Comparison

Where Each One Wins

The data reveals a fundamental split between these two NVIDIA offerings, not merely in performance but in purpose. The RTX 4000 Ada Generation is a workstation graphics card with recorded benchmark results, while the Rubin GPU is a server-class compute module with no benchmark entries in the database. This distinction shapes every comparison.

The RTX 4000 Ada Generation holds the only measurable wins, with a Geekbench OpenCL score of 146,593 and a Geekbench Vulkan score of 123,842. These scores place it at the 95th percentile among all GPUs, indicating strong graphics and compute performance for professional visualization workloads. Its nearest rival, the NVIDIA A10M, averages 135,230, putting the RTX 4000 Ada essentially at parity with a delta of 0 percent. The AMD Radeon PRO W6800 trails by 0.1 percent, the Radeon Pro W6800X Duo by 0.4 percent, and the Radeon PRO V620 by 0.9 percent.

The Rubin GPU, conversely, has no benchmark scores recorded, no average score, and no rival comparisons. Its wins exist entirely in architectural specifications rather than measured performance. The database shows a 50th percentile ranking, which reflects the absence of test data rather than a true performance estimate.

The use-case split is clear. The RTX 4000 Ada Generation wins in any scenario requiring actual measured graphics output, display connectivity, or API support. It offers four DisplayPort 1.4a outputs, DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The Rubin GPU provides no display outputs and lists N/A for DirectX, OpenGL, and Vulkan, making it unsuitable for traditional graphics workstations.

The Rubin GPU wins in raw compute scale. Its FP32 output reaches 130.0 TFLOPS compared to the RTX 4000 Ada's 26.73 TFLOPS, a difference of roughly 4.9 times. FP16 performance shows an even wider gap with 260.0 TFLOPS versus 26.73 TFLOPS, though the ratios differ: the Rubin runs FP16 at 2:1 while the RTX 4000 Ada runs it at 1:1.

Architecture Differences

The architectural divide between these two GPUs is substantial. The RTX 4000 Ada Generation uses the AD104 chip built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. It packs 35,800 million transistors onto a 294 mm² die, yielding a transistor density of 121.8 million per square millimeter. This is a workstation card from the GeForce 40-series generation, released in August 2023, with a predecessor in Workstation Ampere and a successor in Blackwell PRO W.

The Rubin GPU takes a completely different approach. Its GR100 chip uses the Rubin architecture on a 3 nm TSMC process. The transistor count jumps to 336,000 million, nearly ten times the RTX 4000 Ada, spread across a massive 1456 mm² die. Transistor density reaches 230.8 million per square millimeter, which is higher despite the larger die, indicating a denser design. The Rubin GPU belongs to the Server Rubin generation, dated for end of 2025, with Server Blackwell as its predecessor.

Memory architectures diverge sharply. The RTX 4000 Ada uses 20 GB of GDDR6 on a 160-bit bus, delivering 360.0 GB/s bandwidth. Memory clock runs at 2250 MHz with 18 Gbps effective data rate. The Rubin GPU instead uses 288 GB of HBM4 on a 16384-bit bus, achieving 22.1 TB/s bandwidth, which is over 61 times the RTX 4000 Ada's bandwidth. Its memory clock is 2695 MHz with 10.8 Gbps effective.

Core configurations reveal different philosophies. The RTX 4000 Ada has 6144 shading units, 192 texture mapping units, 64 ROPs, 48 RT cores, and 192 tensor cores. The Rubin GPU scales up to 28,672 shading units and 896 texture mapping units, but drops to just 24 ROPs. Tensor cores increase to 896, while RT core count is not recorded. Pixel rate favors the RTX 4000 Ada at 139.2 GPixel/s versus 54.41 GPixel/s for the Rubin, but texture rate reverses the order: 417.6 GTexel/s for the RTX 4000 Ada versus 2,031.2 GTexel/s for the Rubin.

Power and physical design differ categorically. The RTX 4000 Ada draws 130 W TDP, fits in a single slot, uses one 16-pin connector, and suggests a 300 W PSU. It measures 245 mm in length and 112 mm in height. The Rubin GPU consumes 2300 W TDP, mounts as an SXM Module, has no power connector listed, and suggests a 2700 W PSU. Its dimensions are not recorded. Bus interfaces also differ: PCIe 4.0 x16 for the RTX 4000 Ada, PCIe 6.0 x16 for the Rubin.

FAQ

Q: Which GPU has higher single-precision compute performance?

A: The Rubin GPU delivers 130.0 TFLOPS FP32, which is approximately 4.9 times the 26.73 TFLOPS of the RTX 4000 Ada Generation.

Q: Can the Rubin GPU output video to displays?

A: No. The Rubin GPU lists no display outputs, and its API support for DirectX, OpenGL, and Vulkan is marked N/A. The RTX 4000 Ada Generation offers four DisplayPort 1.4a outputs with full API support.

Q: How do memory bandwidth figures compare?

A: The Rubin GPU achieves 22.1 TB/s with 288 GB of HBM4 on a 16384-bit bus. The RTX 4000 Ada Generation provides 360.0 GB/s from 20 GB of GDDR6 on a 160-bit bus.

Q: What is the transistor density difference?

A: The Rubin GPU has a density of 230.8 million transistors per square millimeter, while the RTX 4000 Ada Generation reaches 121.8 million per square millimeter, reflecting the 3 nm versus 5 nm process difference.

Q: Which GPU has recorded benchmark results?

A: Only the RTX 4000 Ada Generation has benchmark data: 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. The Rubin GPU has no benchmark entries.

Q: How do power requirements differ?

A: The RTX 4000 Ada Generation has a 130 W TDP with a 300 W suggested PSU. The Rubin GPU has a 2300 W TDP with a 2700 W suggested PSU.

Specification Differences

The two GPUs differ across nearly every recorded specification field.

Process and die: The RTX 4000 Ada uses a 5 nm TSMC process with 35,800 million transistors on a 294 mm² die. The Rubin uses a 3 nm TSMC process with 336,000 million transistors on a 1456 mm² die.

Clock speeds: The RTX 4000 Ada has a base clock of 1500 MHz and boost of 2175 MHz. The Rubin has a lower base of 700 MHz but a higher boost of 2267 MHz.

Memory: The RTX 4000 Ada has 20 GB GDDR6 with a 160-bit bus and 360.0 GB/s bandwidth. The Rubin has 288 GB HBM4 with a 16384-bit bus and 22.1 TB/s bandwidth.

Compute units: The RTX 4000 Ada has 6144 shading units, 192 TMUs, 64 ROPs, 48 RT cores, and 192 tensor cores. The Rubin has 28,672 shading units, 896 TMUs, 24 ROPs, no recorded RT cores, and 896 tensor cores.

Rates: Pixel rate is 139.2 GPixel/s for the RTX 4000 Ada versus 54.41 GPixel/s for the Rubin. Texture rate is 417.6 GTexel/s versus 2,031.2 GTexel/s.

FP performance: The RTX 4000 Ada achieves 26.73 TFLOPS in both FP32 and FP16 (1:1 ratio). The Rubin reaches 130.0 TFLOPS FP32 and 260.0 TFLOPS FP16 (2:1 ratio).

Power and cooling: The RTX 4000 Ada is a single-slot card at 130 W with one 16-pin connector and a 300 W suggested PSU. The Rubin is an SXM Module at 2300 W with no power connector listed and a 2700 W suggested PSU.

Interface and outputs: The RTX 4000 Ada uses PCIe 4.0 x16 with four DisplayPort 1.4a outputs. The Rubin uses PCIe 6.0 x16 with no outputs.

API support: The RTX 4000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The Rubin lists N/A for all three.

Physical dimensions: The RTX 4000 Ada measures 245 mm by 112 mm. The Rubin has no recorded dimensions.

Head-to-Head Benchmarks

No direct head-to-head benchmark entries exist in the database. The comparison must therefore draw on the recorded scores for the RTX 4000 Ada and the architectural specifications for the Rubin.

The RTX 4000 Ada's Geekbench OpenCL score of 146,593 and Vulkan score of 123,842 represent the only measured performance data. These scores position it at the 95th percentile among all GPUs, with an average benchmark score of 135,218. Its nearest rival, the NVIDIA A10M, scores 135,230 on average, which is statistically indistinguishable at a 0 percent delta. The AMD Radeon PRO W6800 sits 0.1 percent behind, the Radeon Pro W6800X Duo 0.4 percent behind, and the Radeon PRO V620 0.9 percent behind.

The Rubin GPU has no benchmark scores, an average score of zero, and no nearest rivals. Its 50th percentile ranking reflects missing data rather than competitive positioning. Any performance inference must come from its specifications.

The FP32 comparison is the most direct. The Rubin's 130.0 TFLOPS represents a 4.9 times advantage over the RTX 4000 Ada's 26.73 TFLOPS. In FP16, the Rubin's 260.0 TFLOPS is roughly 9.7 times the RTX 4000 Ada's 26.73 TFLOPS, though this comparison is complicated by the different FP16 ratios (2:1 versus 1:1).

Texture rate shows another large gap. The Rubin's 2,031.2 GTexel/s exceeds the RTX 4000 Ada's 417.6 GTexel/s by a factor of about 4.9, matching the FP32 ratio. Memory bandwidth shows the most extreme difference: 22.1 TB/s versus 360.0 GB/s, a multiple of approximately 61.

The RTX 4000 Ada wins in pixel rate with 139.2 GPixel/s versus 54.41 GPixel/s, a 2.6 times advantage. It also has more ROPs (64 versus 24), which aligns with its graphics-focused role.

Clock behavior differs as well. The Rubin's base clock of 700 MHz is less than half the RTX 4000 Ada's 1500 MHz, but its boost clock of 2267 MHz exceeds the RTX 4000 Ada's 2175 MHz. This suggests the Rubin relies on aggressive boosting under server power conditions, while the RTX 4000 Ada maintains higher sustained clocks.

The Verdict

The recorded data supports a clear division of roles. The RTX 4000 Ada Generation is the only one of the two with measured performance, display outputs, and graphics API support. Its 95th percentile ranking and strong scores in OpenCL and Vulkan confirm it as a capable workstation GPU. The 0 percent delta against the A10M and near-parity with the AMD Radeon PRO W6800 series places it in a competitive field for professional graphics workloads. Its 130 W power draw, single-slot design, and 20 GB GDDR6 memory suit it to desktop workstation environments where display output and API compatibility are required.

The Rubin GPU targets a different segment entirely. Its 288 GB HBM4 memory, 22.1 TB/s bandwidth, and 130.0 TFLOPS FP32 output indicate a server compute accelerator designed for massive parallel workloads. The absence of display outputs and graphics APIs confirms this is not a workstation card. The 2300 W TDP and SXM Module form factor point to data center deployment. Its PCIe 6.0 x16 interface and 3 nm process with 336,000 million transistors represent the next generation of server compute, but without benchmark data, its real-world performance remains unverified in the database.

Users needing measured graphics performance, display connectivity, or software rendering support should rely on the RTX 4000 Ada Generation. Users requiring extreme memory capacity, highest FP32 throughput, or server-class form factors should consider the Rubin GPU, understanding that its specifications promise performance the database has not yet recorded. The choice hinges on workload type: graphics and visualization versus raw compute scaling.