1. If you are really interested in lending me ten yuan, let's go to Alibaba cloud to try
2. Oneledger (OLT coin) equity certificates are issued with the most mature Ethereum erc20 smart contract token, which has the characteristics of decentralized, tamper proof, open and transparent
blockchain technology. The total amount of equity certificates issued is 1 billion and will never be added, The unsold 65% tokens are allocated according to the white paper plan for maximum benefits: 1) community retention: 25% tokens will be locked in the smart contract for at least six months, and then there will be a 1-2 year distribution plan to help the ecosystem development, focusing on building a healthy blockchain development ecosystem, from which developers and community contributors will benefit and reflect their value. 2) Team and consultant: 15% of the tokens are allocated to the team and consultant, and the tokens retained by the team are locked by the smart contract for 24 months and issued quarterly. The token retained by the consultant locks in 12 contracts and is issued monthly to encourage optimal development. 3) The company reserves: 10% of the tokens will be locked for at least 6 months, and then will be issued monthly within 18 months, including but not limited to: resource docking, talent introction, improvement of operation and office environment, etc; 4) Marketing and long-term partners: 15% of the token distribution cycle is from March to June, which is issued monthly. The minimum lock-in period of long-term partners is 6 months, and then it will be issued within 1-2 years. Mainly used for the whole marketing and long-term partners.
3. Mining is possible, but the cost is too high, about four times higher
we are Lidai daili, we have a problem
4. Yes, the cost is too high, at least four times more
we are Lidai daili. We have a problem
5. In fact, if you use Xeon E3, even if you add a computing card that supports GPU acceleration, the overall performance will not be greatly improved. I am a doctoral student doing finite element simulation. If we do GPU acceleration on the Xeon E58 physical core al processor platform, Tesla's platform can improve the performance less than twice, which is already very high. Moreover, the conditions for using GPU acceleration are related to your matrix solving algorithm, which cannot be generalized. If you use E3 platform, it is basically PC level configuration, and the memory is 16-32g. Even if you use the sparse matrix algorithm to degrade the number of hard disk reads as much as possible, your biggest pain point is not the CPU and GPU, but the hard disk read-write speed. Therefore, if you have a limited budget, there is no need to spend money on GPU. Instead, you should try to speed up hard disk reading and writing. For example, SSD array is the best choice. Moreover, there is little difference between Xeon E3 and i5 processors. If you want to save on CPU, simply drop to a high frequency i5, because after all, the finite element software uses a physical kernel instead of your number of threads
to sum up, my advice to you is
1, if it's not bad for money, e56-8 core's high frequency model + qurado K5000 + (lower than K5000 is really disabled) + Tesla operation card, 96g ECC memory plus SAS or SSD array, so it's about 8W
2, if it's bad for money, i5 has high frequency, directly using integrated graphics card, 32g memory + 2 1t SSD RAID 0 array, to ensure the best hard disk reading performance
do not ignore the impact of hard disk performance. I now have a workstation E58 processor, and 90% of my time is spent reading and writing data.... Our Telsa accelerator card is still K40, which is purchased by the school for 38 thousand Hong Kong dollars.... In the face of hard disk reading and writing is still powerless
6. Yes, K40 is now available. After 2050, 20702090 with the same architecture will be available, followed by K10, K20 and K40 with the latest architecture. If you can use Tesla 2050 for rendering, K20 should be at least three or four times faster (conservative estimate). Cool. If you are satisfied with the current speed, just use it. This kind of card is very expensive
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8. Yes, note that Tesla is not a graphics card, it's a speep card. C2050 is very old. Tesla is a professional card for accelerating CPU computing. The computing speed of the graphics card is much faster than that of the CPU.
9. 1. NVIDIA Tesla c2070 is not a graphics card like gtx590. The correct name is & quot; Operation GPU & quot;, It already has the function of CPU, so the platform it builds & quot; Can no longer & quot; It needs traditional CPU such as Intel and AMD as CPU (as shown in the figure)
2. Compared with the traditional super graphics workstation (server), its price is much cheaper. As shown in the figure, if we use the platform composed of four nvidiateslac270 (realizing the super graphics platform of four cores + 4gpu + 4x6ggddr5 memory + video memory), it only costs about RMB 100000, If it's a common platform of the same level (a 4-core SNB architecture of the most powerful CPU, two NVIDIA quadro6000 professional graphics cards constitute SLI, 24g memory), the price is much more expensive.
3. Tesla c2070 can also be used as a common graphics card in the pci-e16x slot of a common computer, but it's a design based on a professional graphics card, The game performance is much slower than gtx590, but the graphics rendering ability (autocad3d, 3dsmax, Maya) is more than 10 times faster than gtx590
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