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Announcing Cloudflare One for Data Protection, a unified suite to protect data everywhere with a focus on modern coding and AI.

A novel computational fluid dynamics framework using TensorFlow and TPUs for large-scale simulations of turbulent flows, enabling greater scientific discovery and turbulence analysis.

Arcadia is a unified system that simulates the compute, memory, and network performance of AI training clusters, providing valuable insights to Meta's researchers and engineers.

Using Chakra execution traces for benchmarking and network performance optimization.

Lambda has launched a new Hyperplane server with NVIDIA H100 GPUs and AMD EPYC 9004 series CPUs, offering unprecedented performance, scalability, and security for AI workloads.

Setting up container-based GPU metrics in Amazon CloudWatch and collecting them from EKS pods.

Building an end-to-end solution to optimize equipment performance using historical data, Ray, and Amazon SageMaker's RLlib library.

A blogpost about the development of Meta's new social app, Threads, which aims to allow people to share their content across multiple platforms.

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

Introducing Mojo🔥, the long-awaited modular solution

The blogpost discusses how Instacart scaled productivity using Ava, their internal AI assistant powered by OpenAI's GPT-4 and GPT-3.5 models.

The blogpost describes the process of solving scalability and performance challenges in Espresso database to support a large member base, including migration to HTTP/2 and analyzing and correcting throughput degradation.