Nvidia K80 Tesla
Yes your asus x299 prime deluxe motherboard will support a nvidia telsa k80 so will any other motherboard with a pci e x16 slot.
Nvidia k80 tesla. Tesla v100 7 7 8 tflops. Nvidia s pc graphics chips may draw all the attention but supercomputing chips are driving the company s gpu technology ahead. The tesla k80 was a professional graphics card by nvidia launched in november 2014. The nvidia tesla k80 accelerator dramatically lowers data center costs by delivering exceptional performance with fewer more powerful servers.
The two issues you may have are the operating system power supply and the case. Update your graphics card. Nvidia tesla was the name of nvidia s line of products targeted at stream processing or general purpose graphics processing units gpgpu named after pioneering electrical engineer nikola tesla its products began using gpus from the g80 series and have continued to accompany the release of new chips. Dubbed the tesla k80 nvidia s latest tesla card is an unusual and unexpected entry into the tesla lineup.
The company on monday announced an updated tesla k80 graphics. Tesla p100 tesla p40 tesla p6 tesla p4. According to cnet the k80 require. On the latest tesla v100 tesla t4 tesla p100 and quadro gv100 gp100 gpus ecc support is.
It s engineered to boost throughput in real world applications by 5 10x while also saving customers up to 50 for an accelerated data center compared to a cpu only system. Download drivers for nvidia products including geforce graphics cards nforce motherboards quadro workstations and more. Tesla p100 4 7 5 3 tflops. Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12.
Nvidia tesla gpus are able to correct single bit errors and detect alert on double bit errors. Tesla k80 tesla k40c tesla k40m tesla k40s tesla k40st tesla k40t tesla k20xm tesla k20m tesla k20s tesla k20c tesla k10 tesla. It s engineered to boost throughput in real world applications by 5 10x while also saving customers up to 50 for an accelerated data center compared to a cpu only system. They are programmable using the cuda or opencl apis.