#ai-infrastructure

#ai-infrastructure

The action plan is the direct result of an executive order, signed by Trump in the first week of his second term, that directed the federal government to produce a plan to enhance America's global AI dominance.

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

Amazon CloudWatch offers end-to-end observability on training workloads running on Trainium and Inferentia, including metrics like GPU/accelerator utilization, latency, throughput, and resource availability.

"As the US builds out the datacenters and other infrastructure necessary to lead the world in AI and next-gen technologies, these cables are more important than ever," Carr said in a canned statement, noting that submarine cables carry 99 percent of the world's internet traffic, and are facing increased threats from countries like China and Russia.

President Donald Trump announced over $90 billion in investments in AI and energy, which includes commitments from major companies like Google and CoreWeave.

AI workloads are 'sticky,' consuming large compute volumes that require specialized GPUs or accelerators, which come at premium cloud prices. Direct purchasing of these components is now cheaper than a decade ago.

Corti introduces advanced cloud capabilities, enabling European health systems to leverage real-time AI while ensuring compliance with strict data privacy laws.

ZeroEntropy operates an API that efficiently retrieves relevant data from messy knowledge bases, focusing on enhancing the performance of large language models by providing accurate data retrieval.

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.

SAP CEO Christian Klein emphasizes that instead of building massive AI infrastructure in Europe, sectors like automotive and chemicals should focus on practical applications of AI for their operations.

Investor sentiment remains buoyant, driven by optimism across sectors. Unexpected strength in utility stocks, fueled by AI infrastructure demand, highlights adaptability in uncertain economic times.

Developing and integrating interconnects is no small order. It's arguably the reason Nvidia is the powerhouse it is today.

"Hyperscale operators are expected to account for 61 percent of all datacenter capacity by 2030, driven by cloud services and AI demand."

Up to this point, this kind of GPU-accelerated data process has primarily run on Nvidia accelerators... But now the company is looking to extend this functionality to AMD's Instinct family of chips.

President Trump has been very good, very clear about the need for policy to let people build data centers and power quickly.

Amazon's current market cap of $2.13 trillion and trade at $201 means it needs a 41% increase to reach a $3 trillion valuation by 2026.

Cloudflare has leaned aggressively into AI infrastructure over the past year, including GPU deployment and low-latency inference at the edge, amidst rising competition.