GeForce RTX 4080 SUPER vs Tesla V100 SXM2 32 GB
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | not rated | 5 |
| Place by popularity | not in top-100 | 61 |
| Cost-effectiveness evaluation | no data | 37.49 |
| Power efficiency | no data | 19.03 |
| Architecture | Volta (2017−2020) | Ada Lovelace (2022−2024) |
| GPU code name | GV100 | AD103 |
| Market segment | Workstation | Desktop |
| Release date | 27 March 2018 (6 years ago) | 8 January 2024 (less than a year ago) |
| Launch price (MSRP) | no data | $999 |
Cost-effectiveness evaluation
Performance to price ratio. The higher, the better.
Detailed specifications
General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.
| Pipelines / CUDA cores | 5120 | 10240 |
| Core clock speed | 1290 MHz | 2295 MHz |
| Boost clock speed | 1530 MHz | 2550 MHz |
| Number of transistors | 21,100 million | 45,900 million |
| Manufacturing process technology | 12 nm | 5 nm |
| Power consumption (TDP) | 250 Watt | 320 Watt |
| Texture fill rate | 489.6 | 816.0 |
| Floating-point processing power | 15.67 TFLOPS | 52.22 TFLOPS |
| ROPs | 128 | 112 |
| TMUs | 320 | 320 |
| Tensor Cores | 640 | 320 |
| Ray Tracing Cores | no data | 80 |
Form factor & compatibility
Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| Length | no data | 310 mm |
| Width | 2-slot | 3-slot |
| Supplementary power connectors | None | 1x 16-pin |
VRAM capacity and type
Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.
| Memory type | HBM2 | GDDR6X |
| Maximum RAM amount | 32 GB | 16 GB |
| Memory bus width | 4096 Bit | 256 Bit |
| Memory clock speed | 876 MHz | 1438 MHz |
| Memory bandwidth | 897.0 GB/s | 736.3 GB/s |
| Shared memory | - | - |
Connectivity and outputs
Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.
| Display Connectors | No outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a |
| HDMI | - | + |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
| DirectX | 12 (12_1) | 12 Ultimate (12_2) |
| Shader Model | 6.4 | 6.8 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 1.2 | 3.0 |
| Vulkan | 1.2.131 | 1.3 |
| CUDA | 7.0 | 8.9 |
Pros & cons summary
| Recency | 27 March 2018 | 8 January 2024 |
| Maximum RAM amount | 32 GB | 16 GB |
| Chip lithography | 12 nm | 5 nm |
| Power consumption (TDP) | 250 Watt | 320 Watt |
Tesla V100 SXM2 32 GB has a 100% higher maximum VRAM amount, and 28% lower power consumption.
RTX 4080 SUPER, on the other hand, has an age advantage of 5 years, and a 140% more advanced lithography process.
We couldn't decide between Tesla V100 SXM2 32 GB and GeForce RTX 4080 SUPER. We've got no test results to judge.
Be aware that Tesla V100 SXM2 32 GB is a workstation graphics card while GeForce RTX 4080 SUPER is a desktop one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
Comparisons with similar GPUs
We selected several comparisons of graphics cards with performance close to those reviewed, providing you with more options to consider.
