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Accelerate the agentic AI journey with Vultr VX1™ Cloud Compute
Vultr VX1 delivers efficiency-optimized, AMD EPYC-accelerated CPU cloud compute, built to support agentic orchestration and data pipelines, provide sandbox capacity for agents to safely execute, and deliver capacity for core cloud applications that enable agent outcomes.
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Build an Agentic-Ready AI Strategy with Vultr VX1™ Cloud Compute
Businesses have come to an important realization: While GPUs remain important, the most successful agentic AI deployments will be based on a strong CPU strategy.
GPUs still rule the roost when it comes to raw math processing power, but CPUs are the engine that breaks down tasks, triggers APIs and enterprise applications, and runs checks against every autonomous action. They’re also essential for boosting the capacity of the core cloud workloads that AI agents will consume at an unprecedented scale.
Winning in the agentic era requires scaling CPU clusters to support AI agents, provide capacity for agent sandboxes, and bolster core workloads for an agentic demand surge. That starts with Vultr VX1™ Cloud Compute, powered by AMD EPYC™ CPUs.
FAQ
How does Vultr VX1 support agentic AI?
How can I use Vultr VX1 for agentic AI?
How do I use Vultr VX1 for agentic sandboxes?
What’s important to look for when selecting cloud compute for AI sandboxes?
How do AI sandboxes keep untrusted, LLM-generated code safe?
How does agentic AI change cloud computing requirements?
How do CPUs help prevent ‘GPU starvation’ in AI pipelines?
How do cloud CPUs support data pipelines for AI applications?
How do cloud CPUs handle tool calling and API orchestration for AI agents?
How do cloud CPUs help manage GPU clusters?
What is AMD Helios™?
AMD Helios™ is an integrated full-rack- or data center-scale infrastructure solution comprising 72 AMD Instinct™ MI455X GPUs, 18 AMD EPYC™ CPUs, up to 31 TB of HBM4 memory capacity, scale-up and scale-out AMD Pensando™ networking, open ROCm™ software, and direct liquid cooling (DLC) options.
Vultr VX1 supports agentic AI by offloading orchestration, workflow management, and data processing pipelines from GPUs, enabling GPUs to operate more efficiently. Vultr VX1 also supports AI sandboxes for secure testing and execution of AI agent solutions.
Vultr VX1 provides capable cloud infrastructure that can be used to orchestrate GPU clusters for agentic AI systems, operate data processing pipelines to feed relevant and timely context data, provide AI sandboxes for secure testing and execution of agent code, call tools and APIs for agents to access systems, and power the tools and databases agents act upon to accomplish their goals.
Vultr VX1 supports nested virtualization, enabling secure provisioning of microVMs for AI sandboxes. AI agents can use these microVMs to write, test, and deploy code without the risk of potentially malicious code escaping the sandbox or compromising the host.
Cloud CPU solutions for AI sandboxes must support hardware-assisted virtualization for secure agent execution, high-throughput networking for data pipelines that move at pace, fast deployment, high core density to support large numbers of simultaneous sandboxes, and affordable performance. Vultr VX1 is well-suited for agentic AI and agentic sandboxes, featuring all of these elements.
AI sandboxes, run on cloud compute infrastructure such as Vultr VX1, create ephemeral, isolated execution environments that prevent bad code, infinite loops, or prompt injection attacks from breaching core infrastructure. Hardware-assisted virtualization for microVMs is essential because it provides isolation from the host system at the kernel level.
Traditional AI workloads, such as Generative AI chatbots, have linear architectures in which users submit prompts and models hosted on GPUs respond. Agentic AI is multistep and non-linear, relying heavily on cloud CPUs like Vultr VX1 to handle portions of agent execution loops, such as context retrieval and agent sandbox execution.
GPU starvation occurs when high-cost GPUs sit idle waiting for other systems to feed data or perform tasks. Efficient data processing pipelines, powered by compute resources like Vultr VX1, provide the data GPUs need at a pace to avoid GPU starvation.
Cloud CPUs like Vultr VX1 serve as the data backbone for AI applications, managing and structuring data ingestion, embedding generation, and vector database searches. This ensures clean, context-rich data is delivered to AI applications without pipeline bottlenecks.
Cloud CPUs like VX1 handle execution for AI agents, including making API requests, querying databases, reading files, and accessing applications, providing safe ways for AI agents to access and utilize outside tools.
Cloud CPUs like Vultr VX1 can be used as cluster head nodes, supporting GPU cluster orchestration and workload scheduling. This frees the full capacity of cloud GPUs for inference, improving the performance and efficiency of AI applications.