Tesla T4G vs GeForce GTX 1080 Ti
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 69 | not rated |
| Place by popularity | 46 | not in top-100 |
| Cost-effectiveness evaluation | 21.19 | no data |
| Power efficiency | 13.33 | no data |
| Architecture | Pascal (2016−2021) | Turing (2018−2022) |
| GPU code name | GP102 | TU104 |
| Market segment | Desktop | Workstation |
| Release date | 10 March 2017 (7 years ago) | 13 September 2018 (6 years ago) |
| Launch price (MSRP) | $699 | no data |
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 | 3584 | 2560 |
| Core clock speed | 1481 MHz | 585 MHz |
| Boost clock speed | 1582 MHz | 1590 MHz |
| Number of transistors | 11,800 million | 13,600 million |
| Manufacturing process technology | 16 nm | 12 nm |
| Power consumption (TDP) | 250 Watt | 70 Watt |
| Maximum GPU temperature | 91 °C | no data |
| Texture fill rate | 354.4 | 254.4 |
| Floating-point processing power | 11.34 TFLOPS | 8.141 TFLOPS |
| ROPs | 88 | 64 |
| TMUs | 224 | 160 |
| Tensor Cores | no data | 320 |
| Ray Tracing Cores | no data | 40 |
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 3.0 x16 |
| Length | 267 mm | 168 mm |
| Width | 2-slot | 1-slot |
| Recommended system power (PSU) | 600 Watt | no data |
| Supplementary power connectors | 1x 6-pin + 1x 8-pin | None |
| SLI options | + | - |
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 | GDDR5X | GDDR6 |
| Maximum RAM amount | 11 GB | 16 GB |
| Memory bus width | 352 Bit | 256 Bit |
| Memory clock speed | 1376 MHz | 1250 MHz |
| Memory bandwidth | 484.4 GB/s | 320.0 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 | 1x HDMI, 3x DisplayPort | No outputs |
| Multi monitor support | + | no data |
| HDMI | + | - |
| G-SYNC support | + | - |
Supported technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
| GPU Boost | 3.0 | no data |
| Ansel | + | no data |
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 | 6.7 |
| OpenGL | 4.5 | 4.6 |
| OpenCL | 1.2 | 3.0 |
| Vulkan | + | 1.3 |
| CUDA | + | 7.5 |
Pros & cons summary
| Recency | 10 March 2017 | 13 September 2018 |
| Maximum RAM amount | 11 GB | 16 GB |
| Chip lithography | 16 nm | 12 nm |
| Power consumption (TDP) | 250 Watt | 70 Watt |
Tesla T4G has an age advantage of 1 year, a 45.5% higher maximum VRAM amount, a 33.3% more advanced lithography process, and 257.1% lower power consumption.
We couldn't decide between GeForce GTX 1080 Ti and Tesla T4G. We've got no test results to judge.
Be aware that GeForce GTX 1080 Ti is a desktop card while Tesla T4G is a workstation one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
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