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Inside the AI Factory Stack
Four Layers of Certified Infrastructure, from GPU Silicon to Model Inference
Accelerating Therapeutic Discovery with AI on Vultr
MindWalk's LENSai platform uses universal biological fingerprints to integrate sequence, structure and function across antibody datasets. Running on AMD Instinct MI300X GPUs and Vultr Cloud GPU, it screened 170,000 antibody pairs in 4.5 hours, a process that previously took 145 days. Compute costs dropped 39% per million samples in literature mining and 66% through Vultr Kubernetes Engine. Next-generation treatments are reaching researchers faster because the infrastructure finally matches the ambition of the science.
Purpose-Built for AI Training, Inference, and Orchestration
AMD AI Factory Stack
Built on AMD Instinct™ GPUs and the ROCm™ software platform, this AI stack combines Supermicro's enterprise GPU infrastructure, VAST Data's AI-native data platform, SUSE AI's Kubernetes orchestration, and Vultr's globally distributed cloud to deliver production-ready AI training and inference.
From Silicon to Scale
Experience Agentic Al on the Full Partner Stack
Explore how the complete partner stack powers production AI on Vultr, integrating enterprise infrastructure, intelligent data, accelerated computing, and AI operations into a single validated architecture.
Integrated by Design
The Partners Behind the Architecture
The AI Factory brings together leading technologies across compute, data, orchestration, and cloud infrastructure to accelerate AI from development to production.
How Vultr protects your data in today’s digital world
Compute
AMD Instinct MI300X, MI325X and MI355X GPUs run on Supermicro liquid-cooled servers connected over InfiniBand fabric, giving you the raw acceleration training and inference workloads actually need.
Data & Governance
VAST DataStore and DataEngine handle high-performance storage and intelligent retrieval while VAST Polaris governs policy and access across every site so every model always knows where its data is.
Global Networking
Vultr's backbone connects 33 regions with VPC isolation, BGP routing, and low-latency intra-region connectivity, keeping inference close to where your users are.
Inference & Training
AMD Inference Microservices, AI Workbench and Resource Manager handle the model lifecycle, while SUSE AI runs LLMs, inference engines and RAG pipelines on Kubernetes through Rancher Prime on RKE2.
Healthcare and Life Sciences
AI Infrastructure Built for Healthcare at Scale
Supermicro
Supermicro designs and manufactures liquid-cooled GPU servers purpose-built for dense AI deployments, using Direct Liquid Cooling technology that moves heat away at the chip level.
VAST
VAST's DASE architecture separates compute from storage through a unified data platform. DataStore, DataBase, DataEngine, and Polaris provide storage, retrieval, analytics, and governance as a single system.
AMD
AMD Instinct GPUs run on ROCm, a fully open source software stack covering silicon, drivers, libraries and inference runtime. AMD AI Workbench and Resource Manager complete the model lifecycle without proprietary lock-in at any layer.
SUSE
SUSE Rancher and RKE2 form a hardened, FIPS-compliant, and GPU-aware Kubernetes foundation. SUSE AI builds on it to run LLMs, inference engines, and RAG pipelines.