Nvidia RTX 1000 Ada Generation Mobile vs GeForce GT 1030
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 576 | not rated |
| Place by popularity | 36 | not in top-100 |
| Cost-effectiveness evaluation | 2.31 | no data |
| Power efficiency | 14.56 | no data |
| Architecture | Pascal (2016−2021) | Ada Lovelace (2022−2024) |
| GPU code name | GP108 | AD107 |
| Market segment | Desktop | Mobile workstation |
| Release date | 17 May 2017 (7 years ago) | 26 February 2024 (less than a year ago) |
| Launch price (MSRP) | $79 | 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 | 384 | 2560 |
| Core clock speed | 1228 MHz | 1485 MHz |
| Boost clock speed | 1468 MHz | 2025 MHz |
| Number of transistors | 1,800 million | 18,900 million |
| Manufacturing process technology | 14 nm | 5 nm |
| Power consumption (TDP) | 30 Watt | 35 Watt |
| Texture fill rate | 35.23 | 162.0 |
| Floating-point processing power | 1.127 TFLOPS | 10.37 TFLOPS |
| ROPs | 16 | 48 |
| TMUs | 24 | 80 |
| Tensor Cores | no data | 80 |
| Ray Tracing Cores | no data | 20 |
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).
| Laptop size | no data | large |
| Interface | PCIe 3.0 x4 | PCIe 4.0 x8 |
| Length | 145 mm | no data |
| Width | 1-slot | no data |
| Supplementary power connectors | None | no data |
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 | GDDR5 | GDDR6 |
| Maximum RAM amount | 4 GB | 6 GB |
| Memory bus width | 64 Bit | 96 Bit |
| Memory clock speed | 1502 MHz | 2000 MHz |
| Memory bandwidth | 48.06 GB/s | 192.0 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 DVI, 1x HDMI | Portable Device Dependent |
| HDMI | + | - |
| G-SYNC support | + | - |
Supported technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
| VR Ready | + | 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 | 6.8 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 1.2 | 3.0 |
| Vulkan | 1.2.131 | 1.3 |
| CUDA | 6.1 | 8.9 |
Pros & cons summary
| Recency | 17 May 2017 | 26 February 2024 |
| Maximum RAM amount | 4 GB | 6 GB |
| Chip lithography | 14 nm | 5 nm |
| Power consumption (TDP) | 30 Watt | 35 Watt |
GT 1030 has 16.7% lower power consumption.
Nvidia RTX 1000 Ada Generation Mobile, on the other hand, has an age advantage of 6 years, a 50% higher maximum VRAM amount, and a 180% more advanced lithography process.
We couldn't decide between GeForce GT 1030 and RTX 1000 Ada Generation Mobile. We've got no test results to judge.
Be aware that GeForce GT 1030 is a desktop card while RTX 1000 Ada Generation Mobile is a mobile workstation 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
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