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PaaS enables modern infrastructure and AI
Promote the future development of the global science and technology ecosystem through technological innovation.
Smart Crystal Service
Provide forecasting services for stock market, bond market, foreign exchange and other markets to institutions.
Risk Management Tools
Develop AI-based risk assessment and portfolio optimization tools.
Quantitative strategy support
Provide AI-driven strategy development and backtesting services for quantitative funds.
Cross-border cooperation, strong alliance
Rafay AlphaVision is a new generation of smart crystal jointly built by computing power leasing platform Rafay, the world's top AI company OpenAI, and multinational financial institution SoftBank Group (SBG). The model embeds multiple independent algorithms that adapt to different dynamic market change logics. The algorithms, parameters and models will continue to be updated in line with market fluctuations.
The platform was jointly developed by three parties, with Rafay providing computing power clusters, OpenAI's R&D team deeply involved in technology development and testing, and SoftBank Group, in addition to providing a large amount of financial data and participating in prototype design, will also provide strategic support based on real-time market changes to ensure the efficiency and professionalism of the model. The model has undergone 8 months of research and development and several rounds of technical adjustments, and can provide high-precision intelligent analysis services and investment advice to companies and individuals in different fields.
Computing service company Rafay
Rafay's founders believed there had to be a better way: a PaaS-based approach to managing modern infrastructure for CPUs and GPUs.
PaaS and Infrastructure Management
Rafay uses an innovative PaaS model, combined with an enterprise-level operating platform and expert services, to provide enterprises with efficient and flexible infrastructure management solutions covering cloud computing, high-performance computing (HPC), edge computing and other fields.
Computing services and technological innovation
Rafay focuses on providing powerful computing power support for cutting-edge technologies such as AI and blockchain, and promoting the implementation of high-performance computing and innovative applications. By continuously expanding its business areas and technical cooperation, Rafay is committed to meeting the diverse computing power needs of enterprises and promoting digital transformation and business growth.
Benefits Realized Across the Organization
Driving the future of the global tech ecosystem
“Rafay Alpha Vision’s AI-driven strategy support has revolutionized our quantitative analysis process. Accurate predictions and efficient model optimization tools make our decisions more scientific and more confident.”
“After using Rafay Alpha Vision's intelligent forecasting service, our insight into the market has been greatly improved. Its AI model is not only accurate, but can also adjust in real time based on market dynamics, truly keeping pace with the times.”
“Rafay AlphaVision's SaaS platform and open API provide us with great flexibility. Not only is it easy to integrate, it also brings smarter analytical tools to our customers, improving overall competitiveness.”
“Risk management and portfolio optimization tools are the highlights of Rafay AlphaVision. It helps us better diversify risks, optimize asset allocation, and truly realize intelligent decision support.”
“Rafay AlphaVision's customization service allows us to develop exclusive models for specific business needs. This high degree of flexibility and professional support are the important reasons why we chose it.”
Proud Member of the Kubernetes Community
Rafay is a proud member of the CNCF and a Certified Kubernetes Service Provider. Our customers can leverage our Certified Kubernetes distribution and work hand-in-hand with our team of Certified Kubernetes Admins (CKAs).
Enabling Leverage Program
Stage Dilemma
As we all know, the iteration of large models requires a large amount of data feeding. Taking GPT-4 as an example, the pre-training stage used up to 13 trillion tokens of data. The further training for specific tasks or fields in the fine-tuning stage requires high-quality domain data to optimize model performance. At present, massive high-quality data sources have been monopolized by many large enterprises, obscuring large model data capture.
Rafay AlphaVision
As an emerging platform, although it has the massive resources of Rafay, OpenAI and SoftBank Group, its data volume is still dwarfed by that of a single regional market, and even more so when facing the global market. Secondly, the authenticity of the feeding data of the prediction large model is also particularly prominent, and the version iteration work of the Rafay AlphaVision large model is progressing slowly.
Enabling Leverage Program
In order to obtain massive amounts of high-quality, real data and ensure the orderly optimization of Rafay AlphaVision parameters and models, the platform has launched the Enabling Leverage plan globally (open in stages). Users in areas where the platform services are open can experience Rafay AlphaVision's data analysis and change prediction services for free.