#ai-infrastructure

#ai-infrastructure

Amazon Bedrock AgentCore enables enterprise-grade services for deploying AI agents at scale, providing infrastructure, tools, and controls for trustworthy operations.

Beverly Morris fears drinking water from her well due to sediment buildup she attributes to the nearby AI data center. "I'm afraid to drink the water, but I still cook with it, and brush my teeth with it," she expressed.

LangChain has achieved impressive growth since its inception, transforming from an open-source project to a startup, securing major funding and amassing significant popular usage.

Statistics show that up to 40% of engineering time is spent not on building new features but on writing and maintaining test scripts that quickly become outdated.

Artificial intelligence (AI) factories are producing intelligence at unprecedented scale, showing massive potential to fuel economic growth and innovation.

Through close collaboration between its sustainability, engineering, and design teams, Digital Realty is working to reduce carbon emissions by sourcing more renewable energy.

Investors are anticipating Marvell's earnings report to confirm growing demand in AI infrastructure, with a focus on potential growth from AI-related custom silicon.

"There's a huge challenge getting enough compute for what we want to do in Asia. It's a big problem that we have to go tackle."

FluidStack, originating from a need among researchers for GPU access, has evolved from a marketplace to a key player in AI infrastructure.

Gartner recommends enterprises deploy Ethernet for GPU clusters up to several thousand due to its reliability and performance, and widespread enterprise familiarity.