NVIDIA H200 NVL vs NVIDIA Rubin GPU Comparison
NVIDIA H200 NVL
Rubin GPU
PERFORMANCE BENCHMARKS
Analysis: NVIDIA H200 NVL vs NVIDIA Rubin GPU
FAQ
Q: How does the NVIDIA H200 NVL compare to its closest rival in benchmark performance?
A: The H200 NVL scores 334,891 in Geekbench OpenCL, placing it 3.1% behind the NVIDIA B200 (345,482) and 5.3% ahead of the AMD Instinct MI300X (317,994). It also leads the NVIDIA L40S (295,763) by 13.2%.
Q: What is the primary architecture difference between the H200 NVL and the Rubin GPU?
A: The H200 NVL uses the Hopper architecture with a GH100 chip built on TSMC's 5 nm process, while the Rubin GPU uses the Rubin architecture with a GR100 chip on a 3 nm process. The Rubin GPU also belongs to a newer server generation (Server Rubin Rxx) compared to Server Hopper Hxx.
Q: How do memory capacities and bandwidth compare between these two accelerators?
A: The H200 NVL provides 141 GB of HBM3e memory with a 6144-bit bus and 4.89 TB/s bandwidth. The Rubin GPU offers 288 GB of HBM4 memory with a 16384-bit bus and 22.1 TB/s bandwidth, representing substantially larger capacity and higher throughput.
Q: Which GPU has more compute resources in terms of shading units and tensor cores?
A: The Rubin GPU has 28,672 shading units and 896 tensor cores, compared to 16,896 shading units and 528 tensor cores on the H200 NVL. The Rubin GPU also features 896 TMUs versus 528 on the H200 NVL.
Q: What is the power consumption difference between the two cards?
A: The H200 NVL has a TDP of 600 W with a suggested PSU of 1000 W, while the Rubin GPU has a TDP of 2300 W with a suggested PSU of 2700 W. The Rubin GPU is also a SXM Module form factor, whereas the H200 NVL is dual-slot with an 8-pin EPS connector.
Q: Is there benchmark data available for the Rubin GPU?
A: No. The database contains no benchmark scores for the Rubin GPU, and its average benchmark score is recorded as 0 with a 50th percentile rank among all GPUs. The H200 NVL, by contrast, has a recorded Geekbench OpenCL score and sits at the 100th percentile.
Architecture Differences
The H200 NVL and Rubin GPU represent two distinct design generations with fundamentally different silicon approaches. The H200 NVL uses the GH100 chip built on Hopper architecture, manufactured by TSMC on a 5 nm process. The Rubin GPU uses the GR100 chip with the Rubin architecture, also from TSMC but on a 3 nm process. This process shrink contributes to a dramatic increase in transistor count: the H200 NVL contains 80,000 million transistors on an 814 mm² die, while the Rubin GPU packs 336,000 million transistors into a 1456 mm² die. Transistor density rises from 98.3M per mm² on the H200 NVL to 230.8M per mm² on the Rubin GPU, reflecting the denser 3 nm node.
Clock behavior differs notably between the two. The H200 NVL has a base clock of 1365 MHz and a boost clock of 1785 MHz. The Rubin GPU starts lower at 700 MHz base but boosts much higher to 2267 MHz. Memory clocks also diverge: the H200 NVL runs at 1593 MHz with 6.4 Gbps effective, while the Rubin GPU operates at 2695 MHz with 10.8 Gbps effective. The Rubin GPU's higher boost clock and memory clock indicate a design aimed at peak throughput, though the H200 NVL's steadier base clock suggests a more conservative power profile.
Memory architecture is another major divergence. The H200 NVL uses HBM3e with 141 GB capacity, a 6144-bit bus, and 4.89 TB/s bandwidth. The Rubin GPU moves to HBM4 with 288 GB capacity, a 16384-bit bus, and 22.1 TB/s bandwidth. The bus width more than doubles, and bandwidth increases by a factor of roughly 4.5. These differences point to the Rubin GPU targeting workloads that require massive memory residency and extremely high data movement rates.
Compute resource allocation also differs sharply. The H200 NVL has 16,896 shading units, 528 TMUs, and 528 tensor cores. The Rubin GPU has 28,672 shading units, 896 TMUs, and 896 tensor cores. Both share the same 24 ROPs, which is surprisingly low for both designs and suggests that rasterization throughput is not the primary focus for either accelerator. Neither GPU includes RT cores, and both have no display outputs, reinforcing their server-oriented purpose.
The bus interface changes from PCIe 5.0 x16 on the H200 NVL to PCIe 6.0 x16 on the Rubin GPU, doubling the host interconnect generation. Physical design also differs: the H200 NVL measures 267 mm in length and 111 mm in height, while the Rubin GPU has no recorded dimensions in the database. The H200 NVL is dual-slot with an 8-pin EPS power connector, while the Rubin GPU is an SXM Module with no separate power connector listed. The production status for both is Active, but the H200 NVL was released in November 2024, while the Rubin GPU's release date is recorded as December 2025.
The Verdict
The data paints a clear picture: the NVIDIA H200 NVL is a mature, measured product with verified performance, while the NVIDIA Rubin GPU is a newer, far larger design with no benchmark results recorded in the database. For any workload where performance must be known and validated, the H200 NVL stands as the only option with actual measured data. Its Geekbench OpenCL score of 334,891 places it at the 100th percentile among all GPUs, confirming it as a top-tier accelerator in the current database.
The Rubin GPU, by contrast, has a percentile rank of 50 and an average benchmark score of 0, meaning no data exists to confirm its real-world capabilities. Despite its substantial specifications, the absence of measurements means it cannot be recommended for any specific task based on evidence. The H200 NVL's nearest rivals show it competing tightly with the B200 (3.1% behind) and decisively ahead of the AMD Instinct MI300X (5.3% ahead) and the L40S (13.2% ahead). These deltas provide concrete context for where the H200 NVL sits in the performance hierarchy.
For users prioritizing validated performance, the H200 NVL is the logical choice from the recorded data. Its 141 GB memory and 4.89 TB/s bandwidth are substantial, and its 60.32 TFLOPS FP32 and 120.6 TFLOPS FP16 (2:1) are confirmed figures. The Rubin GPU's specifications are impressive on paper, but the database does not yet support any conclusion about its actual performance. The H200 NVL's predecessor is Server Ada and its successor is Server Blackwell, while the Rubin GPU's predecessor is Server Blackwell, positioning these two at different points in NVIDIA's server lineup.
Specification Differences
The H200 NVL and Rubin GPU differ across nearly every recorded specification field. The H200 NVL uses the GH100 chip, while the Rubin GPU uses the GR100. The H200 NVL is Hopper architecture, the Rubin GPU is Rubin architecture. The H200 NVL is on a 5 nm process, the Rubin GPU on 3 nm. Transistor count jumps from 80,000 million to 336,000 million, and die size grows from 814 mm² to 1456 mm². Transistor density increases from 98.3M per mm² to 230.8M per mm².
Clock speeds diverge in both directions: base clock drops from 1365 MHz to 700 MHz, but boost clock rises from 1785 MHz to 2267 MHz. Memory clock increases from 1593 MHz to 2695 MHz, and effective data rate rises from 6.4 Gbps to 10.8 Gbps. Memory capacity grows from 141 GB to 288 GB, memory type changes from HBM3e to HBM4, bus width expands from 6144 bit to 16384 bit, and bandwidth increases from 4.89 TB/s to 22.1 TB/s.
Compute units all increase: shading units from 16,896 to 28,672, TMUs from 528 to 896, and tensor cores from 528 to 896. ROPs remain identical at 24. Pixel rate rises from 42.84 GPixel/s to 54.41 GPixel/s, and texture rate grows from 942.5 GTexel/s to 2,031.2 GTexel/s. FP32 throughput increases from 60.32 TFLOPS to 130.0 TFLOPS, and FP16 (2:1) from 120.6 TFLOPS to 260.0 TFLOPS.
Power requirements differ substantially: TDP rises from 600 W to 2300 W, and suggested PSU from 1000 W to 2700 W. The H200 NVL is dual-slot with an 8-pin EPS connector; the Rubin GPU is an SXM Module with no listed power connector. The bus interface changes from PCIe 5.0 x16 to PCIe 6.0 x16. The H200 NVL has recorded dimensions of 267 mm length and 111 mm height; the Rubin GPU has none. Release dates differ: November 2024 for the H200 NVL versus December 2025 for the Rubin GPU. The H200 NVL's predecessor is Server Ada and successor is Server Blackwell, while the Rubin GPU's predecessor is Server Blackwell with no successor listed.
Head-to-Head Benchmarks
The database contains no head-to-head benchmark entries between the H200 NVL and the Rubin GPU. The H200 NVL has exactly one recorded benchmark: Geekbench OpenCL with a score of 334,891. The Rubin GPU has no benchmark scores at all, and its average benchmark score is recorded as 0. This absence of comparative data means a direct numerical comparison is impossible from the recorded measurements.
The H200 NVL's nearest rivals provide useful context. The NVIDIA B200 scores 345,482, which is 3.1% higher than the H200 NVL. The AMD Instinct MI300X scores 317,994, which is 5.3% lower. The NVIDIA B300 SXM6 AC scores 369,831, which is 9.4% higher. The NVIDIA L40S scores 295,763, which is 13.2% lower. These deltas show the H200 NVL holding a mid-to-upper position among its peers, with only the B300 and B200 ahead of it.
For the Rubin GPU, no such comparisons exist. Its percentile rank of 50 among all GPUs is the only relative indicator, and that rank carries no benchmark weight behind it. The specification sheet suggests enormous theoretical capability, but the database does not yet contain any measured output. Any statement about the Rubin GPU's performance relative to the H200 NVL would be speculation, which the data does not support.
The H200 NVL's wins are therefore validated by its recorded score and its position against named rivals. Its losses are also defined: 3.1% behind the B200 and 9.4% behind the B300 SXM6 AC. These are the only concrete benchmark deltas available for either GPU in this comparison.
Where Each One Wins
The H200 NVL wins in every category where measured data exists. Its Geekbench OpenCL score of 334,891 places it ahead of the AMD Instinct MI300X by 5.3% and the NVIDIA L40S by 13.2%. It trails the B200 by 3.1% and the B300 SXM6 AC by 9.4%, which defines its competitive boundaries against higher-tier NVIDIA parts. For any user selecting a GPU based on verified performance, the H200 NVL is the only choice between these two that has demonstrated results.
The H200 NVL also wins on practical considerations recorded in the database. Its 600 W TDP and 1000 W suggested PSU are far more manageable than the Rubin GPU's 2300 W TDP and 2700 W suggested PSU. Its dual-slot form factor and 8-pin EPS connector are standard server configurations, while the Rubin GPU's SXM Module form factor requires specialized chassis integration. The H200 NVL has a PCIe 5.0 x16 interface, which is already widespread, whereas the Rubin GPU's PCIe 6.0 x16 is newer and less established.
The Rubin GPU wins on raw specification counts. It has 28,672 shading units versus 16,896, 896 tensor cores versus 528, and 896 TMUs versus 528. Its FP32 throughput of 130.0 TFLOPS more than doubles the H200 NVL's 60.32 TFLOPS, and its FP16 throughput of 260.0 TFLOPS similarly doubles the H200 NVL's 120.6 TFLOPS. Memory capacity is 288 GB versus 141 GB, and bandwidth is 22.1 TB/s versus 4.89 TB/s. These figures indicate the Rubin GPU was designed for workloads that demand maximum compute and memory throughput, even though no benchmark confirms this in practice.
The Rubin GPU also wins on process technology: 3 nm versus 5 nm, with higher transistor density (230.8M per mm² versus 98.3M per mm²) and a larger die (1456 mm² versus 814 mm²). Its higher boost clock of 2267 MHz versus 1785 MHz and faster memory at 10.8 Gbps effective versus 6.4 Gbps effective further suggest a design targeting peak performance. The Rubin GPU's texture rate of 2,031.2 GTexel/s is more than double the H200 NVL's 942.5 GTexel/s, and its pixel rate of 54.41 GPixel/s exceeds the H200 NVL's 42.84 GPixel/s.
In summary, the H200 NVL wins where evidence exists: confirmed benchmark performance, established form factor, and lower power requirements. The Rubin GPU wins where specifications matter: raw compute throughput, memory capacity, and bandwidth, all unverified by any recorded benchmark.