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Gaudi was designed as a microarchitecture for the [[acceleration]] of training in the data center. It is offered as a PCIe-based [[accelerator card]] or, alternatively, as an [[OCP]] [[Open Accelerator Module]] (OAM). | Gaudi was designed as a microarchitecture for the [[acceleration]] of training in the data center. It is offered as a PCIe-based [[accelerator card]] or, alternatively, as an [[OCP]] [[Open Accelerator Module]] (OAM). | ||
− | The design itself is based on the company's first inference chip, {{\\|Goya}}, but adds additional components to | + | The design itself is based on the company's first inference chip, {{\\|Goya}}, but adds additional components to facilitates efficient scale-out capabilities. To that end, Gaudi features eight Tensor Processing Cores (TPCs), a General Matrix Multiply (GEMM) engine, and a large pool of shared memory. In order to facilitate large scale-out capabilities, Gaudi integrates a large set of ethernet ports and [[high-bandwidth memory]]. |
=== General Matrix Multiply (GEMM) engine === | === General Matrix Multiply (GEMM) engine === |
Facts about "Gaudi - Microarchitectures - Habana"
codename | Gaudi + |
designer | Habana + |
first launched | 2019 + |
full page name | habana/microarchitectures/gaudi + |
instance of | microarchitecture + |
manufacturer | TSMC + |
name | Gaudi + |
process | 16 nm (0.016 μm, 1.6e-5 mm) + |
processing element count | 8 + |