Mission, Vision, and Positioning
Mission
FarmGPU empowers the AI revolution by delivering secure, high-performance, and cost-efficient GPU infrastructure purpose-built for modern AI workloads. We provide on-demand and dedicated GPU servers through secure, local data centers, and we partner deeply across hardware, platform software, and emerging technologies to build a scalable NeoCloud ecosystem. Our mission is to decentralize and democratize AI infrastructure, giving builders real alternatives to hyperscalers—without sacrificing performance, security, or control.Vision
We envision a world where open and sovereign AI wins. In this future:- AI infrastructure is local, auditable, and secure by default
- Builders retain full control over their data, models, and economics
- Open standards and open ecosystems outpace closed hyperscaler platforms
- Specialized NeoClouds compete head-to-head with hyperscalers on performance, cost, and reliability
Category Definition: The NeoCloud
NeoCloud: A specialized cloud provider purpose-built for AI workloadsUnlike hyperscalers, NeoClouds:
- Are GPU-first, not CPU-centric
- Optimize for real AI workloads, not generic VMs
- Deliver dramatically better price-performance
Strategic Positioning
High Performance, Low Cost
FarmGPU delivers up to 70% lower total cost of ownership (TCO) compared to major hyperscalers, without compromising performance or reliability. We achieve this through:- Optimized BOMs tuned for AI workloads
- Lean team leveraging AI for everything
- Deep hardware–software co-optimization
- Transparent pricing aligned to actual infrastructure costs
3.2 NeoCloud for Real-World AI: Storage as a First-Class Citizen
AI workloads are not compute-only. Training, fine-tuning, and inference at scale demand fast, reliable, and predictable storage—something most NeoClouds and bare-metal GPU providers underinvest in. FarmGPU is uniquely positioned as a storage-centric NeoCloud. We differentiate by:- Designing storage as a core architectural pillar, not an afterthought
- Partnering with industry leaders like Solidigm and major storage ISVs
- Deploying custom storage servers tuned for AI workloads
- Leveraging DPU-accelerated architectures (NVIDIA BlueField-3) to offload storage, networking, and security from CPUs
- Supporting AI-native storage patterns, including:
- KV-cache offload for inference
- Vector databases
- High-throughput block, file, and object storage
3.3 The Trust Layer
Trust is foundational to AI infrastructure. FarmGPU is building a defense-in-depth trust layer that spans hardware, software, and operations.Security & Compliance
- SOC 2 Type II (in progress)
- Zero-trust networking model
- Hardware-enforced isolation using DPUs
- Secure lifecycle management of storage and compute assets
Confidential Computing
FarmGPU is one of the few NeoClouds investing early in end-to-end confidential computing for GPUs:- Intel TDX support with NVIDIA B200
- Secure enclaves for sensitive AI workloads
- AMD SEV support planned for Q2 2026
- Architecture designed to protect data in use, not just at rest or in transit
Why This Matters
This trust layer enables:- Regulated and sensitive workloads (enterprise, government, research)
- Model protection and IP isolation
- Verifiable data handling and sanitization
- Long-term customer confidence as AI regulation increases