Enterprise AI,
engineered on AMD
Infobell builds, deploys, and optimizes production AI on AMD Instinct™ GPUs, EPYC™ CPUs, and ROCm™ — from LLM inference and RAG to sovereign AI factories.
A proud AMD Ambassador & engineering partner
Infobell builds high-performance AI, cloud, and HPC solutions on the AMD CDNA™ architecture and ROCm™ software stack — standing alongside the world's leading technology partners at AMD Advancing AI 2026.
Enterprise AI for
real-world workloads
LLM Inference
Large language model serving on AMD Instinct™ GPUs via ROCm-optimized runtimes.
RAG Pipelines
Enterprise knowledge retrieval — VectorDB + AMD AIMs for grounded AI responses.
Agentic AI
Autonomous AI systems, copilots, and voice agents for enterprise automation.
Performance Tuning
AI benchmarking, kernel optimization, and ROCm workload tuning at the hardware level.
AMD-powered products
by Infobell
ScaleBench_AI
LLM inference benchmarking — latency, throughput, and GPU workload efficiency on AMD hardware.
AI Kernel Backporting
Autonomous agents that analyze dependencies and backport kernel code for AMD feature enablement.
Vision AI Suite
Purpose-built AI products for advanced computer vision and automated visual intelligence.
Infobell Agentic Fabric
Document ingestion and retrieval pipelines for trusted enterprise RAG at scale.
Infobell Viva
AI-powered transcription, summarization, and knowledge extraction from audio and video.
ConvoGene
Enterprise chatbot for knowledge access, customer support, and internal copilots — GPU-accelerated.
Hybrid Cloud AI
Enterprise data stays on-premises. AI runs on AMD Instinct™ GPUs. A single governed platform connecting both.
AMD Enterprise AI Suite
Kubernetes-based AI platform deployment and management
AMD Inference Microservices (AIMs)
GPU-accelerated containerized model inference runtime
AMD Instinct™ MI325X GPUs
LLM execution and vector embedding generation
Vultr Cloud GPU infrastructure
Scalable sovereign AI cloud with AMD acceleration
NetApp enterprise-grade data storage systems
On-premises data extended to cloud without migration
VectorDB + RAG Pipeline
Semantic retrieval grounded in enterprise knowledge
Our expertise
Agentic AI Systems
Autonomous agents for enterprise automation and decision flows.
LLM Optimization
Benchmarking, tuning, and workload efficiency on AMD hardware.
Voice & Conversational AI
Speech agents and enterprise chatbots powered by AMD GPUs.
Hybrid Cloud AI
Architectures spanning on-premise and NeoCloud GPU infrastructure.
AI Infrastructure Design
End-to-end platform design for AI factories and sovereign AI.
Performance Engineering
Kernel-level AMD ROCm optimization and workload profiling.
RAG & Data Platforms
Document pipelines, vector search, and knowledge intelligence.
Confidential Computing
Secure and compliant AI workloads at enterprise scale.
From pilot to production
Hardware-Level Tuning
Direct AMD ROCm and Instinct GPU integration at the kernel and runtime level — not just API calls.
Production-Ready Delivery
Proven architecture patterns that move AI past the pilot stage into enterprise-scale deployment.
Hybrid Cloud Expertise
On-premise + NeoCloud GPU infrastructure with unified governance, compliance, and data control.
Full Stack Coverage
From raw data engineering and RAG pipelines up to custom LLMs and autonomous Agentic AI systems.
Build your enterprise AI platform with AMD
Whether you are building a RAG platform, deploying copilots, optimizing inference, or designing a hybrid AI architecture with Vultr, NetApp, and AMD, Infobell can help. Let's make your project our next success story. Email info@infobellit.com.