AWS HPC Blog
Author: Ilan Gleiser
Ilan Gleiser is a Principal GenAI Specialist at AWS WWSO Frameworks team focusing on developing scalable Artificial General Intelligence architectures and optimizing foundation model training and inference. With a rich background in AI and machine learning, Ilan has published over 20 blogs and delivered 100+ prototypes globally over the last 5 years. Ilan holds a Master’s degree in mathematical economics.
Introducing Riskthinking.AI Climate Earth Digital Twin on AWS
As climate change escalates, power infrastructure faces growing risks. Explore how the ClimateEarthDigitalTwin (CDT™) platform from riskthinking.AI leverages AWS HPC to assess these risks and enable resilience planning for the energy sector. Learn how this cutting-edge solution can safeguard your critical assets.
Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach – part 2
Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to systematically evaluate your strategies and prepare for future market scenarios. Part 2 covers implementation details and results.
Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach
Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to systematically evaluate your strategies and prepare for future market scenarios. Part 1 of 2 covers the theoretical foundations of the approach.
Harnessing the power of agent-based models for mitigating supply chain risks and managing costs
Discover how a new simulation-based approach using agent-based modeling, rich data, and advanced analytics can help you build resilient supply chains that withstand disruptions. Learn more in our latest post.
LLMs: the new frontier in generative agent-based simulation
How can LLMs take agent-based simulation to the next level? Check out our new post on leveraging large language models’ capabilities for more realistic modeling.
Harnessing the power of agent-based modeling for equity market simulation and strategy testing
Financial professionals: Simulate realistic market conditions with Simudyne’s agent-based modeling on AWS and Red Hat OpenShift. Learn how HKEX leverages these insights.
Data, emerging technologies, and the circular economy: how Accenture and AWS are unlocking environmental and business impact
Realizing the $4.5 trillion circular economy opportunity requires accurate data, scalable HPC and agile tools. Read this post to discover how AWS and Accenture partner for real progress.
Using large-language models for ESG sentiment analysis using Databricks on AWS
ESG is now a boardroom issue. See how Databricks’ AI solution helps understand emissions data and meet new regulations.
Accelerating agent-based simulation for autonomous driving
AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge.
How agent-based models powered by HPC are enabling large scale economic simulations
See how agent-based models, driven to scale by HPC in the cloud, are shedding new light on macroprudential policies with this post from Oxford’s Institute for New Economic Thinking.