Feb. 5, 2020
--- Overview
In the "cryptocurrency mining market"
that is driving the miniaturization of semiconductor processes in recent years,
an extremely severe business model has been formed that directly links the
power performance of semiconductors used for mining with mining proceeds.
Starting in February 2017, TRIPLE-1 has been using core know-how involving the
designability for cutting edge processes, the optimization of electrical
consumption, and the improvement of the yield rate that have been fostered from
the development of ASIC (application-specific integrated circuits) for
cryptocurrency mining. Development has started on both "KAMIKAZE Ⅱ", the latest
high-performance ASIC for Bitcoin mining that uses a 7 nm process made by TSMC,
and the AI processor "GOKU" for deep learning that uses the world's
leading 5 nm process.
--- Next generation 7 nm
Bitcoin mining ASIC "KAMIKAZE Ⅱ" – That design completed
By making use of the know-how fostered from the
initial "KAMIKAZE" model, the design for the next generation model
"KAMIKAZE Ⅱ" has been finalized. After tape outing to TSMC and the
prototype has been inspected, we will start mass production from 2021.
Additionally, we have started to offer reference
boards and reference designs for the first "KAMIKAZE" mining machine
model, the system that can provide smoother installation support is ready.
< Feature > ASIC
Boost is built-in, improving the mining efficiency rapidly
By loading the custom algorithm "ASIC
Boost" that improves mining efficiency (it was not loaded on to the first
“KAMIKAZE” model), a more highly efficient mining environment is provided.
Additionally, by supporting ultra-low voltage drive (supplied voltage 0.2x V),
we anticipate a drastic reduction in electrical consumption.
KAMIKAZE / KAMIKAZE Ⅱ Performance
specifications comparison
|
|
KAMIKAZE
|
KAMIKAZE
Ⅱ
|
|
Process
|
TSMC
7 nm
|
TSMC
7 nm improved process
|
|
Die
size
|
3.5
× 3.9 mm
|
3.0
× 9.0 mm
|
|
Package
|
7
× 7 mm FC-BGA
|
7
× 12 mm FC-LGA
|
|
Input
voltage
|
0.3
V or less
|
Drives
at a lower voltage than KAMIKAZE
|
|
Power
consumption
|
1.2
W / chip
|
6.7
W / chip
|
|
Hash
rate
|
23
GHs / chip
|
240
GHs / chip
|
|
Electrical
efficiency
|
52
W / THs
|
28
W / THs
|
|
ASIC
Boost
|
None
|
Supported
|
*KAMIKAZE: Chip actual value, KAMIKAZEⅡ: Design target
--- New challenges,
enter the AI market
In recent years, various companies have entered
the AI chip market, including not only giant IT companies but also fast-growing
start-ups in China. As competition for edge AI chip development intensifies,
oligopoly supply by several major companies continues in the deep learning AI
processor market. Currently there are no mass-produced chips smaller than 12 nm
process.
On the other hand, the electrical consumption of
data centers is expected to excess 10% of the entire world's electrical energy
by 2030. TRIPLE-1 believe that AI processors for deep learning need not only
high "computing power" to learn and process a huge amount of data,
but also a severe viewpoint on "power consumption" from the viewpoint
of energy conservation and cost reduction.
Therefore TRIPLE-1 has launched the project to
develop "GOKU", an ultra-low power consumption dedicated deep
learning AI processor using the world's most advanced 5nm process, utilizing
our unique Low power / High performance technology and design know-how in the
most advanced processes.
--- "GOKU", an
AI processor for deep learning with the world's leading 5 nm process
The first stage prototype has been completed,
and we are inspecting the performance. Realizing the mass production in 2021,
we will complete the prototypes closer to mass-produced products within 2020.
It will be sold to the equipment and devices manufacturers for data servers or
deep learning centers around the world, and we have already begun to discuss
with multiple companies.
< Feature > Using
the world's leading 5 nm process, it has 10 times higher power efficiency than
conventional
Our goal is to reduce power consumption by 1/10
of the equivalent performance compared to conventional products (process: 12
nm), and its feature is low-voltage operation that is inconceivable with
existing products.
< Feature > Design
to connect multiple calculation units
Like the structure of the human brain, where
synapses connect neurons in a complex manner, great amount and very complex
inter-core communication is important for deep learning AI processors.
Utilizing the unique circuit design technology
of "GOKU", which arranges many small arithmetic units on one large
die as much as possible, it is designed to secure the communication
(interconnect) band between the arithmetic units as much as possible.
It has been designed to get closer to the human
brain.
< Reference > GOKU performance table
(Design target)
|
Process
|
5
nm
|
|
Power
consumption
|
100
W
|
|
Peak
performance (half-precision)
|
1
PFLOPS (1,000 TFLOPS)
|
|
Electrical
efficiency (half-precision)
|
10
TFLOPS / W
|
--- TRIPLE-1 outline
Company Name: TRIPLE-1, Inc.
Corporate Headquarter:
7F IT Bldg.Ⅱ,1-14-20 Hakataeki-Higashi, Hakata-ku Fukuoka-shi, Fukuoka, Japan
Representatives: Representative Director CEO Takuya Yamaguchi
The capital: 3662 million 895 thousand and 398 yen (including the capital reserve)
Corporate Headquarter:
7F IT Bldg.Ⅱ,1-14-20 Hakataeki-Higashi, Hakata-ku Fukuoka-shi, Fukuoka, Japan
Representatives: Representative Director CEO Takuya Yamaguchi
The capital: 3662 million 895 thousand and 398 yen (including the capital reserve)
This press release features multimedia. View the
full release here: https://www.businesswire.com/news/home/20200204005385/en/
*Source: AETOSWire
Contacts
Regarding this Press
Release:
TRIPLE-1 , Inc.
Planning & Strategy Office
GAKU MATSUSHIMA
info@triple-1.com
TRIPLE-1 , Inc.
Planning & Strategy Office
GAKU MATSUSHIMA
info@triple-1.com
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