![LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing - Microsoft Research LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing - Microsoft Research](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/07/f29QQhecbMU.jpg)
LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing - Microsoft Research
![TESLA K20X-DELL - Refurbished - DELL NVIDIA TESLA K20X KEPLER GPU ACCELERATOR 6GB 2688 CUDA CORES MEMORY INTERFACE 384 BIT MEMORY BANDWIDTH 250GB/S PCI-E 2.0 X16 GENERAL PURPOSE GRAPHICS PROCESSING UNIT GPGPU - TESLA K20X-DELL - Refurbished - DELL NVIDIA TESLA K20X KEPLER GPU ACCELERATOR 6GB 2688 CUDA CORES MEMORY INTERFACE 384 BIT MEMORY BANDWIDTH 250GB/S PCI-E 2.0 X16 GENERAL PURPOSE GRAPHICS PROCESSING UNIT GPGPU -](https://www.itcreations.com/images/products/large/TESLA_K20X-DELL.jpg?10222020)
TESLA K20X-DELL - Refurbished - DELL NVIDIA TESLA K20X KEPLER GPU ACCELERATOR 6GB 2688 CUDA CORES MEMORY INTERFACE 384 BIT MEMORY BANDWIDTH 250GB/S PCI-E 2.0 X16 GENERAL PURPOSE GRAPHICS PROCESSING UNIT GPGPU -
![Ethereum Mining with Google Cloud (Nvidia Tesla K80) actually works and is highly profitable — Steemit Ethereum Mining with Google Cloud (Nvidia Tesla K80) actually works and is highly profitable — Steemit](https://steemitimages.com/DQmYXC65LGoNZhuCnEFFCBpJyBdMMAQyWFx7y4z9KQ1ECop/chart.png)
Ethereum Mining with Google Cloud (Nvidia Tesla K80) actually works and is highly profitable — Steemit
Reduced hashrate over time on K80 Revisited issue 472 · Issue #2310 · ethereum-mining/ethminer · GitHub
![Autotuning based on frequency scaling toward energy efficiency of blockchain algorithms on graphics processing units | The Journal of Supercomputing Autotuning based on frequency scaling toward energy efficiency of blockchain algorithms on graphics processing units | The Journal of Supercomputing](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11227-020-03263-5/MediaObjects/11227_2020_3263_Fig5_HTML.png)