Nvidia RTX 500 Ada Generation Mobile vs L40S
Aggregate performance score
We've compared L40S with RTX 500 Ada Generation Mobile, including specs and performance data.
L40S outperforms Nvidia RTX 500 Ada Generation Mobile by a substantial 37% based on our aggregate benchmark results.
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 122 | 198 |
| Place by popularity | not in top-100 | not in top-100 |
| Power efficiency | 8.87 | 55.55 |
| Architecture | Ada Lovelace (2022−2024) | Ada Lovelace (2022−2024) |
| GPU code name | AD102 | AD107 |
| Market segment | Workstation | Mobile workstation |
| Release date | 13 October 2022 (2 years ago) | 26 February 2024 (less than a year ago) |
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 | 18176 | 2048 |
| Core clock speed | 1110 MHz | 1485 MHz |
| Boost clock speed | 2520 MHz | 2025 MHz |
| Number of transistors | 76,300 million | 18,900 million |
| Manufacturing process technology | 5 nm | 5 nm |
| Power consumption (TDP) | 300 Watt | 35 Watt |
| Texture fill rate | 1,431 | 129.6 |
| Floating-point processing power | 91.61 TFLOPS | 8.294 TFLOPS |
| ROPs | 192 | 32 |
| TMUs | 568 | 64 |
| Tensor Cores | 568 | 64 |
| Ray Tracing Cores | 142 | 16 |
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 | medium sized |
| Interface | PCIe 4.0 x16 | PCIe 4.0 x8 |
| Length | 267 mm | no data |
| Width | 2-slot | no data |
| Supplementary power connectors | 1x 16-pin | 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 | GDDR6 | GDDR6 |
| Maximum RAM amount | 48 GB | 4 GB |
| Memory bus width | 384 Bit | 64 Bit |
| Memory clock speed | 2250 MHz | 2000 MHz |
| Memory bandwidth | 864.0 GB/s | 128.0 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 2.1, 3x DisplayPort 1.4a | Portable Device Dependent |
| HDMI | + | - |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
| DirectX | 12 Ultimate (12_2) | 12 Ultimate (12_2) |
| Shader Model | 6.7 | 6.8 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 3.0 | 3.0 |
| Vulkan | 1.3 | 1.3 |
| CUDA | 8.9 | 8.9 |
Gaming performance
Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.
Pros & cons summary
| Performance score | 37.31 | 27.26 |
| Recency | 13 October 2022 | 26 February 2024 |
| Maximum RAM amount | 48 GB | 4 GB |
| Power consumption (TDP) | 300 Watt | 35 Watt |
L40S has a 36.9% higher aggregate performance score, and a 1100% higher maximum VRAM amount.
Nvidia RTX 500 Ada Generation Mobile, on the other hand, has an age advantage of 1 year, and 757.1% lower power consumption.
The L40S is our recommended choice as it beats the RTX 500 Ada Generation Mobile in performance tests.
Be aware that L40S is a workstation card while RTX 500 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.
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