The Avalanche Computing Taiwan Inc. is funded by Nvidia USA alumni in Santa Clara, CA, USA, 2018. At the end of 2018, the core team was built in Taipei, Taiwan. After 1 year of collaboration with many enterprises, Avalanche Computing Taiwan Inc. is registered in Feb 2020. In the 1st month, we won the Airbus global top-10 innovation startup in March, joined NVIDIA global inception program, and join NTUTEC.
The barrier to entry in AI is lower than ever before because of the open-source software including a number of frameworks (tensorflow, keras, pytorch, et., al.). However, to develop the specific AI application, the company engineers need to build the data pipeline, computing environment, and AI models. Those processes are still difficult for traditional companies and SMEs.
In order to overcome the challenges above, we provide the hyper-scale computing technique for doing deep learning. The hyper-scale computing framework is a deep-tech for computing technology. Through our hyper-scale technology, the clients can focus on innovation and then we do rest (for example, we provide hyper-scale architecture, multi-GPUs, and distributed model training, and hyper-scale inference on 10000+ edge devices). Then, our clients just need to put their AI models into our SaaS AI development tool in mins.
We also won several awards:
Our office is now in the follows:
Now, the SaaS product is launched in the U.S.
If you are interested in our position, please send your CV to: [email protected]
We provide performance-optimized AI development and deployment tool to data scientists, called hAIsten AI. It is a low-code tool to speed up your AI development with clicks-through. We call our core technique, Hyper-scale computing, which leverages the distributed and multip-GPUs techniques for saving time and money for your AI applications.
The product of Avalanche Computing is called hAIsten AI in the US. The detailed functions are as follows:
1) Hyper-scale training computing engine ( >1 GPUs on each machine)
2) Hyper-scale inference engine (from 1 edge device to 100000+ edge devices)
3) Smart labelling (AI empowered data annotation tool)
4) Edge computing platform (CES 2023)
is to be the best advanced and hyper-scale computing technology company for intelligence application providers and traditional industries, and in collaboration with our clients, to build a strong competitive power in the intelligence application industry.
To achieve our vision, we must have the following advantages:
1) be a computing technology leader, competitive with pure hardware or software solutions
2) be the top-tier computing technology, data analysis, solution architector, and AI experts
3) be the most trusted, service-oriented, and maximum-total-values in intelligence development software end-to-end solution inventor
is to provide the best AI development tool and be the leader, and trusted computing technology provider in the intelligence application industry (for medical, manufacturing, et., al) for the future.
We offer (depending on team type, funding team, core team, or full-time employee):
Diverse and dynamic work environment (smart office)
我們需要可以長期任職，至少完成完整的 Rotate Program 設計的人選，短期的人員或者超過資格 (Over qualify) 的人員我們雖想一起合作，但仍然以可以完整走完Rotate Program的人選為優先，作為長期培育之人才投資。
The position in cakeresume is for TAIWAN ONLY. Do not submit for the position in Here (go LinkedIn).
Before you apply for any position here, please check your location and VISA status.
本公司近期建立台灣之研發團隊，中長期返美持續拓展 Hyper-Scale Computing 之最佳化技術予智慧應用之廠商。
公司也有訂閱線上課程以及核心團隊己取得之授課資源 （例如：GCP USA, NVIDIA Santa Clara 之課程資源）
每日上午 9：30－10：30之間到公司或者remote work，按台灣公司勞基法準則，需要做打卡的一個動作 （使用軟體）。
每日工時以 8小時為基準。例如：9：30 AM 抵遠公司，則在7：00 PM (中間午休1.5小時)。