|Introduction|| 2017 (announced)|
|Process|| 16 nm|
HL-x is a series of neural processors designed by Habana for both training and inference in the data center. There are two distinct products based on two separate microarchitectures - one for inference and one for training. Both designs share common unified architecture, simplifying software development.
Habana offers two slightly different products - one of inference and one for training.
- Main article: Goya
The HL-1000 is a first-generation neural processor for inference. The HL-1000 is fabricated on TSMC 16-nanometer process based on the Goya microarchitecture. This chip ships in a number of products in a PCIe cards form factor.
- Proc 16 nm
- Mem Dual-channel DDR4-2667
- I/O x16 PCIe Gen 4.0
- TDP 200 W
|HL-100||200 W||4/8/16 GiB||PCIe Card; Dual-slot, passive cooling|
|HL-102||200 W||4/8/16 GiB||PCIe Card; Dual-slot, active cooling|
- Main article: Gaudi
The HL-2000 is a first-generation neural processor for training. The HL-1000 is fabricated on TSMC 16-nanometer process based on the Gaudi microarchitecture. This chip ships in a number of products in both a PCIe card and an OCP OAM form factors. Habana also designed the HLS-1 system which incorporates eight HL-205 accelerators and can serve as a ready solution or a reference design
|HL-200||200 W||32 GiB||8x100 GbE||PCIe Card; passive cooling|
|HL-202||200 W||32 GiB||8x100 GbE||PCIe Card; active cooling|
|HL-205||300 W||32 GiB||10x100 GbE||OCP-OAM|