“High-performance infrastructure only matters if it expands what users can actually do onchain — and makes that experience accessible at scale.” @sachitakamura sits down with @jayendra_jog, Co-Founder of @SeiNetwork, to examine why parallelized execution is becoming increasingly important for the next generation of onchain applications. From trading and DeFi to high-frequency user activity that simply breaks in low-throughput environments, they discuss how lower fees and greater execution capacity can fundamentally reshape the user experience — especially for smaller participants who are otherwise priced out. They also explore how this plays out in practice through projects like Bancor’s Carbon DeFi, where Sei has emerged as the ecosystem driving the strongest activity and volume, underscoring how performance advantages translate into real adoption.

High performance starts with wellbeing. It was a pleasure to welcome our Brand Ambassador, @leylahfernandez, for an energizing workout and conversation on mindset, recovery, and sustainable performance. Thank you, Leylah, for inspiring our employees and reminding us that resilience, recovery, and mindset are key to success.

High Performance Linear Vaportights from @HalcoLighting offer an impressive set of features at competitive prices. IP65 & DLC Premium. Perfect for a variety of harsh-environment applications including parking garages, car washes, gas stations, & more.

More high-performance compute options are coming to the cloud! 🎉 Together with @OracleCloud, we're bringing Arm AGI CPU to OCI, providing support for everything from general-purpose cloud workloads to agentic AI.

SGLang-Diffusion is a high-performance serving framework for diffusion models, designed for both large-scale offline generation and latency-sensitive real-time inference. At PyTorch Conference North America 2026, Yihao Wang and Kevin Mi of @RadixArk will present the design of @sgl_project-Diffusion and the PyTorch-based inference optimizations behind it, including efficient request scheduling, memory management, batching strategies, and execution-path optimizations for diffusion pipelines. Join us in San Jose, October 20-21: #PyTorchCon#