Tesla V100 FHHL vs Arc A350M
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in performance ranking | 369 | not rated |
| Place by popularity | not in top-100 | not in top-100 |
| Architecture | Xe HPG (2022−2023) | Volta (2017−2020) |
| GPU code name | Alchemist | GV100 |
| Market segment | Laptop | Workstation |
| Release date | 30 March 2022 (2 years ago) | 27 March 2018 (6 years ago) |
Detailed specifications
General performance parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. These parameters indirectly speak of performance, but for precise assessment you have to consider their benchmark and gaming test results. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.
| Pipelines / CUDA cores | 6 | 5120 |
| Core clock speed | 1150 MHz | 937 MHz |
| Boost clock speed | no data | 1290 MHz |
| Number of transistors | 7,200 million | 21,100 million |
| Manufacturing process technology | 6 nm | 12 nm |
| Power consumption (TDP) | 35 Watt (25 - 35 Watt TGP) | 250 Watt |
| Texture fill rate | 55.20 | 412.8 |
| Floating-point performance | 1.766 gflops | 13.21 gflops |
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 4.0 x8 | PCIe 3.0 x16 |
| Width | no data | 1-slot |
| Supplementary power connectors | no data | 1x 8-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 | GDDR6 | HBM2 |
| Maximum RAM amount | 4 GB | 16 GB |
| Memory bus width | 64 Bit | 4096 Bit |
| Memory clock speed | 14000 MHz | 1620 MHz |
| Memory bandwidth | 96 GB/s | 829.4 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 | No outputs |
API compatibility
List of supported graphics and general-purpose computing APIs, including their specific versions.
| DirectX | 12 Ultimate (12_2) | 12 (12_1) |
| Shader Model | 6.6 | 6.4 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 3.0 | 1.2 |
| Vulkan | 1.3 | 1.2.131 |
| CUDA | - | 7.0 |
Pros & cons summary
| Recency | 30 March 2022 | 27 March 2018 |
| Maximum RAM amount | 4 GB | 16 GB |
| Chip lithography | 6 nm | 12 nm |
| Power consumption (TDP) | 35 Watt | 250 Watt |
Arc A350M has an age advantage of 4 years, a 100% more advanced lithography process, and 614.3% lower power consumption.
Tesla V100 FHHL, on the other hand, has a 300% higher maximum VRAM amount.
We couldn't decide between Arc A350M and Tesla V100 FHHL. We've got no test results to judge.
Be aware that Arc A350M is a notebook card while Tesla V100 FHHL 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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