Device Block Reward Multiplier
This page is under construction and subject to change.
CPU Supported Processors
| Supported Processor | Earning Multiplier | Staking Requirement Per Card (in $IO) | Simulated BR Change with Proposed Earning Multipliers (Using July 31st, 2024 Data) | Simulated Staking Monthly Reward Ratio (BR/Stake, using July 31st, 2024 Data) | Number of Cards Used for Simulation |
|---|---|---|---|---|---|
| M2 Max | 1 | 200 | -4.10% | 24.14% | 637 |
| M2 Pro | 0.75 | 200 | -4.10% | 18.08% | 2,174 |
| M2 Ultra | 1.25 | 250 | -4.10% | 23.85% | 64 |
| M3 | 0.5 | 200 | -4.10% | 12.19% | 279 |
| M3 Max | 1 | 200 | -4.10% | 23.70% | 343 |
| M3 Pro | 0.75 | 200 | -4.10% | 17.60% | 617 |
GPU Supported Processors
| Supported Processor | Earning Multiplier | Staking Requirement Per Card (in $IO) | Simulated BR Change with Proposed Earning Multipliers (Using July 31st, 2024 Data) | Simulated Staking Monthly Reward Ratio (BR/Stake, using July 31st, 2024 Data) | Number of Cards Used for Simulation |
|---|---|---|---|---|---|
| A10 | 0.75 | 200 | -4.10% | 16.29% | 58 |
| A100 80GB PCIe | 5 | 1000 | -4.10% | 21.09% | 487 |
| A100-PCIE-40GB | 2 | 400 | -4.10% | 22.40% | 3,578 |
| A100-SXM4-80GB | 5 | 1000 | -4.10% | 23.06% | 883 |
| A10G | 0.75 | 200 | -4.10% | 17.65% | 28 |
| A16 | 1 | 200 | -4.10% | 23.34% | 13 |
| A40 | 2 | 400 | -4.10% | 23.36% | 1 |
| GeForce GTX 1080 Ti | 0.25 | 200 | -4.10% | 5.88% | 20 |
| GeForce RTX 2080 Ti | 0.25 | 200 | -4.10% | 5.83% | 1,075 |
| GeForce RTX 3050 | 0.25 | 200 | -4.10% | 5.68% | 69 |
| GeForce RTX 3060 | 0.25 | 200 | -4.10% | 5.83% | 893 |
| GeForce RTX 3060 Ti | 0.25 | 200 | -4.10% | 5.85% | 391 |
| GeForce RTX 3070 | 0.25 | 200 | -4.10% | 5.81% | 1,244 |
| GeForce RTX 3070 Ti | 0.25 | 200 | -4.10% | 5.76% | 144 |
| GeForce RTX 3080 | 0.25 | 200 | -4.10% | 5.83% | 3,572 |
| GeForce RTX 3080 Ti | 0.25 | 200 | -40.06% | 5.75% | 208 |
| GeForce RTX 3090 | 0.5 | 200 | -4.10% | 11.61% | 1,594 |
| GeForce RTX 3090 Ti | 0.5 | 200 | -36.07% | 11.74% | 14 |
| GeForce RTX 4060 | 0.25 | 200 | -4.10% | 5.77% | 736 |
| GeForce RTX 4060 Ti | 0.25 | 200 | -4.10% | 5.79% | 170 |
| GeForce RTX 4070 | 0.25 | 200 | -4.10% | 5.83% | 1,996 |
| GeForce RTX 4070 Ti | 0.25 | 200 | -4.10% | 5.85% | 258 |
| GeForce RTX 4080 | 0.5 | 200 | -4.10% | 10.63% | 271 |
| GeForce RTX 4090 | 1 | 200 | 27.87% | 22.82% | 10,695 |
| GeForce RTX 4090 D | 1 | 200 | 27.87% | 22.68% | 1,014 |
| H100 80GB HBM3 | 10 | 2000 | -4.10% | 21.71% | 2,384 |
| H100 PCIe | 10 | 2000 | -4.10% | 21.88% | 1,340 |
| L4 | 0.75 | 200 | -4.10% | 17.56% | 2,269 |
| L40 | 2.25 | 450 | -4.10% | 23.28% | 8 |
| RTX 4000 | 0.4 | 200 | -4.10% | 9.41% | 10 |
| RTX 4000 SFF Ada Generation | 0.5 | 200 | -4.10% | 11.87% | 3 |
| RTX 5000 | 0.25 | 200 | -4.10% | 5.96% | 2 |
| RTX 5000 Ada Generation | 1.5 | 200 | -4.10% | 34.99% | 2 |
| RTX 6000 Ada Generation | 2.5 | 200 | -4.10% | 58.20% | 16 |
| RTX A4000 | 0.4 | 200 | -4.10% | 9.26% | 336 |
| RTX A5000 | 0.75 | 200 | -4.10% | 16.99% | 29 |
| RTX A6000 | 1.5 | 200 | -4.10% | 34.96% | 53 |
| Tesla T4 | 0.4 | 200 | -4.10% | 8.75% | 264 |
| Tesla V100-PCIE-16GB | 0.5 | 200 | -4.10% | 11.71% | 8 |
| Tesla V100-PCIE-32GB | 0.75 | 200 | -4.10% | 16.75% | 482 |
| Tesla V100-SXM2-16GB | 0.5 | 200 | -4.10% | 11.59% | 777 |
| Tesla V100-SXM2-32GB | 0.75 | 200 | -4.10% | 16.11% | 573 |
| Tesla V100S-PCIE-32GB | 0.75 | 200 | -4.10% | 16.32% | 832 |
The above simulation was done using a Block Reward data (GPU types, count and reward distributions per model). The simulation assumed no change to network structure and device quantity.
Updated about 2 months ago