The vital server vendors are backing adult behind Nvidia’s Tesla V100 GPU accelerator in a pierce that is approaching to make synthetic comprehension and appurtenance training workloads some-more mainstream.
Dell EMC, HPE, IBM and Supermicro summarized servers on Nvidia’s latest GPU accelerators, that are formed on a Volta design from a graphics chip maker. Nvidia’s V100 GPUs have some-more than 120 teraflops of low training opening per GPU. That throughput effectively takes a speed extent off AI workloads.
In a blog post, IBM’s Brad McCredie, clamp boss of a Big Blue’s cognitive complement development, remarkable that Nvidia with a V100 as good as a NVLINK PCI-Express 4 and Memory Coherence record brings “unprecedented inner bandwidth” to AI-optimized systems.
The V100-based systems include:
- Dell EMC’s PowerEdge R740, that supports adult to 3 V100 GPUs for PCIe and dual aloft finish systems with a R740XD, and C4130.
- HPE’s Apollo 65000, that will support adult to 8 V100 GPUs for PCIe, and a ProLiant DL380 complement ancillary adult to 3 V100 GPUs.
- IBM’s Power System with a Power 9 processor will support mixed V100 GPUs. IBM will hurl out a Power 9-based systems after this year.
- Supermicro also has a array of workstations and servers built with a V100.
- Inspur, Lenovo and Huawei also launched systems formed on a V100.
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