Tesla V100 DGXS vs GRID K160Q
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 948 | not rated |
| Place by popularity | not in top-100 | not in top-100 |
| Cost-effectiveness evaluation | 0.21 | no data |
| Power efficiency | 0.87 | no data |
| Architecture | Kepler (2012−2018) | Volta (2017−2020) |
| GPU code name | GK107 | GV100 |
| Market segment | Workstation | Workstation |
| Release date | 28 June 2013 (11 years ago) | 27 March 2018 (6 years ago) |
| Launch price (MSRP) | $125 | 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 | 192 | 5120 |
| Core clock speed | 850 MHz | 1297 MHz |
| Boost clock speed | no data | 1530 MHz |
| Number of transistors | 1,270 million | 21,100 million |
| Manufacturing process technology | 28 nm | 12 nm |
| Power consumption (TDP) | 130 Watt | 250 Watt |
| Texture fill rate | 13.60 | 489.6 |
| Floating-point processing power | 0.3264 TFLOPS | 15.67 TFLOPS |
| ROPs | 16 | 128 |
| TMUs | 16 | 320 |
| Tensor Cores | no data | 640 |
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 |
| Width | IGP | 2-slot |
| Supplementary power connectors | no data | None |
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 | DDR3 | HBM2 |
| Maximum RAM amount | 1 GB | 32 GB |
| Memory bus width | 128 Bit | 4096 Bit |
| Memory clock speed | 891 MHz | 876 MHz |
| Memory bandwidth | 28.51 GB/s | 897.0 GB/s |
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 | No outputs |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
| DirectX | 12 (11_0) | 12 (12_1) |
| Shader Model | 5.1 | 6.4 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 1.2 | 1.2 |
| Vulkan | 1.1.126 | 1.2.131 |
| CUDA | 3.0 | 7.0 |
Pros & cons summary
| Recency | 28 June 2013 | 27 March 2018 |
| Maximum RAM amount | 1 GB | 32 GB |
| Chip lithography | 28 nm | 12 nm |
| Power consumption (TDP) | 130 Watt | 250 Watt |
GRID K160Q has 92.3% lower power consumption.
Tesla V100 DGXS, on the other hand, has an age advantage of 4 years, a 3100% higher maximum VRAM amount, and a 133.3% more advanced lithography process.
We couldn't decide between GRID K160Q and Tesla V100 DGXS. We've got no test results to judge.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
Comparisons with similar GPUs
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