Discover the top three Tesla A40 products leading the charts on Amazon, showcased in a table format: . These items are dominating the sales landscape.
NVIDIA TESLA A40 48GB Specifications :
GPU Memory | 48 GB GDDR6 with error-correcting code (ECC) |
GPU Memory Bandwidth | 696 GB/s |
Interconnect | NVIDIA NVLink 112.5 GB/s (bidirectional) PCIE Gen4 x16 31.5 GB/s (bidirectional) |
NVLink | 2-way low profile (2-slot) |
Display Ports | 3x DisplayPort 1.4* |
Max Power Consumption | 300 W |
Form Factor | 4.4″ (H) x 10.5″ (L) Dual Slot |
Thermal | Passive |
vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server |
vGPU Profiles Supported | See the Virtual GPU Licensing Guide |
NVENC | NVDEC | 1x | 2x (includes AV1 decode) |
Secure and Measured Boot with Hardware Root of Trust | Yes |
NEBS Ready | Level 3 |
Power Connector | 8-pin CPU |
NVIDIA TESLA A40 48GB mining hashrate for each algorithm : [ Power Consumption 190 Watts/Hour ] :
DaggerHashimoto [ EtHash : (ETH) & (ETC) ] Ethereum Mining Hashrate : 83 MH/s
2021 Daily Mining Hash Rate and Profitability of mining Ethereum by NVIDIA TESLA A40 48GB
Ethereum mining calculatorEnterprise mining with NiceHash QuickMiner
What Enterprise cards are supported in NiceHash QuickMiner?
For the first time in whole cryptocurrency mining history, enterprise NVIDIA GPUs are supported for cryptocurrency mining! NiceHash QuickMiner officially supports all Quadro and Tesla GPUs.
If you own a powerful workstation or a server full of Tesla/Quadro cards you can monetize your idle time with just a few clicks. Best of all, NiceHash QuickMiner is secure, so there is no need to worry about the safeness of shady unsigned 3rd party miners.
NiceHash has tested and created a special one-click optimization profile called Enterprise for the following cards :
- Tesla A100
- Tesla A40
- Tesla T4
- Tesla P40
- Quadro GP100
- Quadro P2200
- Quadro RTX 4000
- Quadro RTX 8000
- RTX A5000
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NVIDIA TESLA A40 48GB Design
Third-Generation NVIDIA NVLink®
Connect two A40 GPUs together to scale from 48GB of GPU memory to 96GB. Increased GPU-to-GPU interconnect bandwidth provides a single scalable memory to accelerate graphics and compute workloads and tackle larger datasets. A new, more compact NVLink connector enables functionality in a wider range of servers.
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