Four critical AI use cases built with GPUs
451 Research by S&P Global's 2026 AI Maturity Report, commissioned by Vultr, identified several compute-intensive use cases and analyzed the infrastructure criteria of each. Here are four examples.
Why Enterprise AI Inference is Driving Decentralized Infrastructure
As enterprises look to operationalize and scale agentic AI, the technology debate is shifting from centralized training at scale to local and decentralized inference. A full-stack approach to enterprise AI accelerates the journey.
Vultr: The Infrastructure for Enterprise AI
Vultr is committed to delivering open, secure, and composable infrastructure to power enterprise AI. Learn how our platform is built around that mission.
Report: The State of AI in Platform Engineering 2026
Explore how AI is reshaping platform engineering, development velocity, infrastructure, and organizational priorities in 2026.
Accelerate OpenFold3 with AMD and Vultr
Learn how MindWalk validated OpenFold3 with AMD Inference Microservices on Vultr Kubernetes Engine, powered by AMD Instinct MI325X GPUs.
Why CPUs Are the Workhorse of Agentic AI Infrastructure
CPUs are essential to agentic AI infrastructure, powering orchestration, secure sandboxes, data pipelines, and core cloud workloads alongside GPUs.
Qdrant Builds a 10-Billion-Document Vector Search Benchmark Dataset on Vultr
Qdrant has released Qdrant-Fineweb-10B, a public dataset for testing vector search at a 10-billion-document scale.
Open Source Replacements for Hyperscaler Managed Services
Explore open source alternatives to hyperscaler managed services for databases, caching, observability, orchestration, and more – and see where self-hosting can reduce costs and lock-in.
Vultr VX1™ Cloud Compute: Affordable Cloud Computing for the Era of Agentic AI
Agentic AI is driving demand for new racks of CPU servers — not just bolt-ons to GPU racks. Here's how Vultr VX1™ Cloud Compute optimizes that foundation.
Beyond the Model: LegionEdge on Building Specialized AI Systems for Production
LegionEdge explores how specialized AI models and intelligent memory architectures help build more efficient, adaptable AI systems for production.
The Future of Agentic AI Depends on Cloud Cost Optimization
Capitalizing on agentic AI depends on the right infrastructure investments, yet enterprises struggle to reduce cloud costs. Vultr VX1™ Cloud Compute presents a way to free up budget for CPUs and GPUs – without complex refactoring.
From Hardware to AI Applications: Why the Full Stack Matters for Private Enterprise AI
A full-stack AI platform, from hardware and enterprise data to accelerated compute, cloud infrastructure, and AI operations, helps organizations move AI from pilot to production.