Clarifai has joined the Vultr Cloud Alliance, enabling enterprises to create and control AI workloads on their terms. With Clarifai’s full-stack AI lifecycle platform and Vultr’s global high-performance cloud infrastructure – including the latest AMD and NVIDIA GPUs – organizations can run any model in any environment with complete control over performance, governance, and cost.
AI platform meets a global cloud infrastructure
Clarifai provides enterprises with a full-stack AI platform – from model development to deployment to governance – allowing teams to move AI projects from prototype to production rapidly. Their compute orchestration and model lifecycle management tools make controlling AI performance, cost, and security easier across any environment.
Clarifai complements Vultr’s global reach, security, regulatory compliance (including HIPAA, SOC 2+, and more), and long-standing operational excellence, delivering the best price-to-performance for cloud infrastructure. Vultr’s full-stack platform goes beyond GPUs – offering high-performance CPUs, managed Kubernetes through Vultr Kubernetes Engine (VKE), managed databases including managed Apache® Kafka, scalable storage, bare metal servers, and a wide choice of the latest AMD and NVIDIA GPUs. With Vultr as the foundation, enterprises can deploy AI workloads with maximum flexibility, control, and efficiency – whether in the cloud, at the edge, or in hybrid environments.
Together, Clarifai and Vultr deliver a complete solution for building, orchestrating, and scaling AI, giving organizations the tools they need to bring AI into production faster, more securely, and more cost-effectively.
Through the Clarifai and Vultr partnership, customers benefit from significantly lower costs for NVIDIA A100 80 GB GPUs compared to hyperscalers like AWS and GCP. Flexible purchasing options are available, including single A100 GPUs or blocks of 8, with additional savings possible through longer-term commitments.
Any AI model, any GPU
With Clarifai, you can deploy any open-source, foundation, or custom AI model across Vultr’s extensive GPU lineup. Whether it’s Llama-3, DeepSeek-R1, Phi-4, Qwen2.5, MiniCPM, or Clarifai’s own face detection, image moderation, and content recognition models, the Clarifai platform makes it easy to package and deploy to Vultr Cloud GPU including support for AMD Instinct MI300X, MI325X, and NVIDIA HGX B200, HGX H100, A100 PCIe, L40S, and more.
This gives organizations the flexibility to optimize their infrastructure around performance, power efficiency, or cost – and ensures that AI workloads of any size or complexity can run seamlessly, from inference to fine-tuning.
Unified compute orchestration across Vultr infrastructure
With Clarifai’s compute orchestration, users can deploy any model in a secure, scalable containerized environment, managed through a single interface. Once packaged, models are deployed across Vultr compute resources using managed Kubernetes clusters or bare metal servers. The orchestration layer dynamically provisions node pools and clusters via Vultr Kubernetes Engine (VKE), automatically scaling to meet demand while maintaining optimal resource usage. Governance is built in, giving teams centralized visibility over performance, cost, and access across all deployments. The result: simplified AI operations, faster time to production, and more efficient infrastructure usage.
Edge AI for intelligence at the data source
Clarifai’s edge AI platform allows users to deploy lightweight, high-performance models directly to edge devices – including air-gapped. These models can run advanced predictive tasks with minimal memory requirements and sync back to the cloud for continuous improvement. When combined with Vultr’s global footprint of 32 cloud data center regions reaching 90% of the global population with the latency between 2-40 ms – enterprises gain real-time intelligence where it matters most. This is especially valuable in scenarios like predictive maintenance, industrial quality control, public safety, where real-time inference and localized AI decisions drive business outcomes.
Industry use cases: Clarifai and Vultr in action
Across industries, Clarifai and Vultr together provide a flexible, scalable foundation for deploying AI solutions that drive real-world results.
- Energy, Aerospace, and Manufacturing: Companies working with heavy machineries benefit from using Clarifai’s edge AI capabilities and Vultr’s global infrastructure to implement predictive maintenance. Manufacturers can reduce downtime, improve asset management, and lower operational costs by deploying AI models directly at the edge.
- Media and Entertainment: Media companies can accelerate AI workloads for content moderation, metadata generation, and real-time asset management through Clarifai’s powerful models running on Vultr’s GPU instances. This allows them to process large volumes of content quickly and reliably while keeping costs predictable. Leverage real-time image, video, and document analysis and state-of-the-art AI models for full motion video and sports analytics.
- Retail and E-commerce: Retailers and e-commerce platforms can use AI for real-time image tagging, catalog updates, and automated content moderation. Clarifai’s vision models combined with Vultr’s edge cloud footprint enable faster, localized processing to improve product discoverability and enhance user safety across digital storefronts.
- Defense and Public Safety: Defense and public safety organizations can deploy Clarifai’s AI models for perimeter surveillance, object detection, and domain awareness in secure, air-gapped, or edge environments. Vultr’s flexible deployment options support mission-critical applications that demand low latency, high reliability, and strict security controls.
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