Semiconductor & Computer Engineering
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== Members == | == Members == | ||
| + | Habana offers two slightly different products - one of inference and one for training. | ||
| + | |||
=== Inference === | === Inference === | ||
==== HL-1000 ==== | ==== HL-1000 ==== | ||
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[[File:habana gaudi oam board.JPG|right|thumb|HL-205 OAM board]] | [[File:habana gaudi oam board.JPG|right|thumb|HL-205 OAM board]] | ||
[[File:habana hls-1.jpg|right|thumb|Habana HLS-1 system with eight HL-205s]] | [[File:habana hls-1.jpg|right|thumb|Habana HLS-1 system with eight HL-205s]] | ||
| − | The '''HL-2000''' is a first-generation [[neural processor]] for training. The HL-1000 is fabricated on [[TSMC]] [[16-nanometer]] process based on the {{habana|Gaudi|l=arch}} microarchitecture. This chip ships in a number of products in both a [[PCIe card]] and an [[OCP OAM]] form factors. | + | The '''HL-2000''' is a first-generation [[neural processor]] for training. The HL-1000 is fabricated on [[TSMC]] [[16-nanometer]] process based on the {{habana|Gaudi|l=arch}} 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 |
* '''Proc''' [[16 nm]] | * '''Proc''' [[16 nm]] | ||
Latest revision as of 11:32, 28 December 2019
| HL Series | |
| Developer | Habana |
| Manufacturer | TSMC |
| Type | NPU |
| Introduction | 2017 (announced) 2018 (launch) |
| µarch | Goya, Gaudi |
| Process | 16 nm 0.016 μm
1.6e-5 mm |
| Technology | CMOS |
HL-x is a series of neural processors designed by Habana for the data center market.
Overview[edit]
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.
Members[edit]
Habana offers two slightly different products - one of inference and one for training.
Inference[edit]
HL-1000[edit]
- 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
| Model | TDP | Memory | Type |
|---|---|---|---|
| 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 |
Training[edit]
HL-2000[edit]
- 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
| Model | TDP | Memory | Scale-Out | Type |
|---|---|---|---|---|
| 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 |
See also[edit]
| designer | Habana + |
| first announced | 2017 + |
| first launched | 2018 + |
| full page name | habana/hl + |
| instance of | integrated circuit family + |
| main designer | Habana + |
| manufacturer | TSMC + |
| microarchitecture | Goya + and Gaudi + |
| name | HL Series + |
| process | 16 nm (0.016 μm, 1.6e-5 mm) + |
| technology | CMOS + |