JANCTION Begins Offering GPU Sponsored Plan to EvoDvo Tech
JANCTION, promoted by Jasmy Lab Inc., has started providing a GPU sponsored plan to EvoDvo Tech, a biotech startup from Tokushima University. They will offer up to $1,500 worth of H100-equivalent GPU credits for free to accelerate AI-driven precision breeding research.
📋 Article Processing Timeline
- 📰 Published: April 24, 2026 at 05:00
- 🔍 Collected: April 23, 2026 at 20:32
- 🤖 AI Analyzed: April 23, 2026 at 20:41 (9 min after Collected)
We are pleased to announce that "JANCTION," promoted by Jasmy Lab Inc. (Headquarters: Minato-ku, Tokyo, Representative Director: Hiroshi Harada), has started providing a GPU sponsored plan to EvoDvo Tech Inc., a biotech startup originating from Tokushima University.
Under this program, we will provide up to $1,500 worth of GPU usage credits, equivalent to H100, free of charge. The trial period is up to one month from the date of contract execution.
Through this provision, we will support the AI-utilized precision breeding research undertaken by EvoDvo Tech.
By providing a learning and analysis environment targeting gene sequence data, gene expression data, phenotypic data, etc., we will back the improvement of prediction accuracy for breeding conditions and the acceleration of the research and development cycle.
JANCTION aims to be a new computational infrastructure that supports challenges in Japan by lowering the barriers to accessing high-performance GPUs, thereby opening up possibilities for research, development, and business creation.
Background
In the fields of food, materials, and biotechnology industries, there is a demand to develop new varieties and functions with higher precision and in shorter periods, against the backdrop of climate change, population growth, and resource constraints.
On the other hand, conventional breeding and biological development require much trial and error and long research periods, incurring significant time and computational costs even in the early stages of R&D.
Especially in recent years, while research using AI to make predictions based on large-scale data such as gene sequences, gene expression, and phenotypes is advancing, securing the high-performance GPU environments that support it has become a challenge.
In response to this situation, JANCTION believes that opening up access to high-performance GPUs itself is important for supporting the advancement of research and development.
The provision to EvoDvo Tech this time is one of the initiatives to concretize this way of thinking.
Research Content Undertaken by EvoDvo Tech
EvoDvo Tech is a startup from Tokushima University engaged in the research and development of precision breeding and precision synthetic biology, based on knowledge of development and evolution.
In this GPU sponsored plan, the following research and analysis applications are mainly envisioned.
1. Learning and analysis of gene sequence data
Targeting DNA sequence data, using AI and machine learning models to extract features and search for candidate regions, narrowing down mutations and design candidates related to the target traits.
2. Integrated analysis of gene expression data and phenotypic data
Cross-analyzing gene expression data, experimental results, phenotypic data, etc., to predict which conditions and designs will lead to the realization of the target traits.
Thereby aiming to improve the accuracy of research hypotheses for increasing yield, enhancing functional components, and improving environmental resistance.
3. Predictive optimization of breeding conditions and experimental conditions
Based on the results of AI analysis, prioritizing candidate experimental and breeding conditions to support the construction of a research environment that can reach more promising conditions faster while reducing the number of trials and errors.
4. Acceleration of the Design-Build-Test-Learn cycle
By repeating model learning and inference at high speed, shortening the Design-Build-Test-Learn cycle in research and development and increasing the turnover rate of hypothesis verification.
This aims to connect the process more smoothly from the initial stage of research to the demonstration phase.
Overview of the GPU Sponsored Plan
Provided Content
Equivalent to H100 80GB
Free provision of GPU usage credits up to 1,500 USD
Trial period up to 1 month from contract execution date
Main Uses
Learning and analysis of gene sequence data
Analysis of gene expression data
Construction and evaluation of phenotype prediction models
Optimization of breeding and experimental conditions using AI
R&D PoC and high-load computational verification
About This Initiative
JANCTION is advancing the development of computational infrastructure to support research and development in diverse fields that require advanced computational resources, such as not only generative AI and machine learning, but also biotechnology, drug discovery, materials, and robotics.
The provision to EvoDvo Tech this time is an initiative to support research and development that creates new industrial value through the fusion of AI and life sciences.
By utilizing the high-performance GPU environment, we will support the creation of an environment where researchers and development teams can proceed with verification without being bound by the constraints of computational resources.
JANCTION's Vision and Future Initiatives
JANCTION is lowering the barriers to accessing computational resources necessary for research and development and new businesses, and is advancing the creation of an environment where more researchers, developers, entrepreneurs, and business development teams can utilize high-performance GPUs.
In the future, through the GPU sponsored program, we will not only support the initial phases of research, technology development, and commercialization, but also proceed with the development of computational infrastructure to support more diverse challenges, with a view to expanding the target recipients and application areas.
Under this program, we will provide up to $1,500 worth of GPU usage credits, equivalent to H100, free of charge. The trial period is up to one month from the date of contract execution.
Through this provision, we will support the AI-utilized precision breeding research undertaken by EvoDvo Tech.
By providing a learning and analysis environment targeting gene sequence data, gene expression data, phenotypic data, etc., we will back the improvement of prediction accuracy for breeding conditions and the acceleration of the research and development cycle.
JANCTION aims to be a new computational infrastructure that supports challenges in Japan by lowering the barriers to accessing high-performance GPUs, thereby opening up possibilities for research, development, and business creation.
Background
In the fields of food, materials, and biotechnology industries, there is a demand to develop new varieties and functions with higher precision and in shorter periods, against the backdrop of climate change, population growth, and resource constraints.
On the other hand, conventional breeding and biological development require much trial and error and long research periods, incurring significant time and computational costs even in the early stages of R&D.
Especially in recent years, while research using AI to make predictions based on large-scale data such as gene sequences, gene expression, and phenotypes is advancing, securing the high-performance GPU environments that support it has become a challenge.
In response to this situation, JANCTION believes that opening up access to high-performance GPUs itself is important for supporting the advancement of research and development.
The provision to EvoDvo Tech this time is one of the initiatives to concretize this way of thinking.
Research Content Undertaken by EvoDvo Tech
EvoDvo Tech is a startup from Tokushima University engaged in the research and development of precision breeding and precision synthetic biology, based on knowledge of development and evolution.
In this GPU sponsored plan, the following research and analysis applications are mainly envisioned.
1. Learning and analysis of gene sequence data
Targeting DNA sequence data, using AI and machine learning models to extract features and search for candidate regions, narrowing down mutations and design candidates related to the target traits.
2. Integrated analysis of gene expression data and phenotypic data
Cross-analyzing gene expression data, experimental results, phenotypic data, etc., to predict which conditions and designs will lead to the realization of the target traits.
Thereby aiming to improve the accuracy of research hypotheses for increasing yield, enhancing functional components, and improving environmental resistance.
3. Predictive optimization of breeding conditions and experimental conditions
Based on the results of AI analysis, prioritizing candidate experimental and breeding conditions to support the construction of a research environment that can reach more promising conditions faster while reducing the number of trials and errors.
4. Acceleration of the Design-Build-Test-Learn cycle
By repeating model learning and inference at high speed, shortening the Design-Build-Test-Learn cycle in research and development and increasing the turnover rate of hypothesis verification.
This aims to connect the process more smoothly from the initial stage of research to the demonstration phase.
Overview of the GPU Sponsored Plan
Provided Content
Equivalent to H100 80GB
Free provision of GPU usage credits up to 1,500 USD
Trial period up to 1 month from contract execution date
Main Uses
Learning and analysis of gene sequence data
Analysis of gene expression data
Construction and evaluation of phenotype prediction models
Optimization of breeding and experimental conditions using AI
R&D PoC and high-load computational verification
About This Initiative
JANCTION is advancing the development of computational infrastructure to support research and development in diverse fields that require advanced computational resources, such as not only generative AI and machine learning, but also biotechnology, drug discovery, materials, and robotics.
The provision to EvoDvo Tech this time is an initiative to support research and development that creates new industrial value through the fusion of AI and life sciences.
By utilizing the high-performance GPU environment, we will support the creation of an environment where researchers and development teams can proceed with verification without being bound by the constraints of computational resources.
JANCTION's Vision and Future Initiatives
JANCTION is lowering the barriers to accessing computational resources necessary for research and development and new businesses, and is advancing the creation of an environment where more researchers, developers, entrepreneurs, and business development teams can utilize high-performance GPUs.
In the future, through the GPU sponsored program, we will not only support the initial phases of research, technology development, and commercialization, but also proceed with the development of computational infrastructure to support more diverse challenges, with a view to expanding the target recipients and application areas.