AWS

I first heard about using AI to generate market data for model testing in the middle of last year at an AWS event where Simudyne presented their work on this topic. Really interesting stuff. Looks like Fidelity are working in that space too

Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach | Amazon Web Services

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.

Amazon Web Services

New EC2 instances: m7a in Syndney, m8g in Ireland, m7g in Zurich, c8g in Mumbai

Amazon EC2 M7a instances are now available in AWS Asia Pacific (Sydney) Region - AWS

Discover more about what’s new at AWS with Amazon EC2 M7a instances are now available in AWS Asia Pacific (Sydney) Region

Amazon Web Services, Inc.

Amazon EC2 M8g instances now available in AWS Europe (Ireland) - AWS

Discover more about what’s new at AWS with Amazon EC2 M8g instances now available in AWS Europe (Ireland)

Amazon Web Services, Inc.

Amazon EC2 M7g instances are now available in the AWS Europe (Zurich) - AWS

Discover more about what’s new at AWS with Amazon EC2 M7g instances are now available in the AWS Europe (Zurich)

Amazon Web Services, Inc.

Amazon EC2 C8g instances now available in AWS Asia Pacific (Mumbai) - AWS

Discover more about what’s new at AWS with Amazon EC2 C8g instances now available in AWS Asia Pacific (Mumbai)

Amazon Web Services, Inc.

Azure

Not something that gets a lot of attention but even AI workloads still consume CPU and this blog from Azure looks into CPU pinning and using NUMA, GPU affinity.

https://techcommunity.microsoft.com/blog/azurehighperformancecomputingblog/optimizing-ai-workloads-on-azure-cpu-pinning-via-nccl-topology-file/4371810

Google Cloud

New region in Sweden

Google Cloud launches 42nd cloud region in Sweden | Google Cloud Blog

Google Cloud is excited to announce the launch of its 42nd cloud region in Sweden.

Google Cloud

Guides and use cases for AI Hypercomputer (ugh, still hate that name)

AI Hypercomputer: 4 use cases, tutorials, and guides | Google Cloud Blog

Discover use cases for efficient inference, large training clusters, high reliability & easy setup on AI Hypercomputer. Includes tutorials & guides.

Google Cloud