Evonova’s AI Compute Infrastructure for the Next Era of Intelligence
Evonova Group will build advanced AI compute infrastructure using HGX GB300 servers, deployed in low-cost, renewable-powered U.S. regions. We’ll scale rapidly with the latest architecture—offering flexible, high-performance leasing options for startups, researchers, and enterprises driving the next wave of AI innovation.
⚡ The AI Compute Boom Is Just Getting Started
And HGX GB300s Are the Fuel.
Over the last year, AI demand hasn’t just grown—it’s detonated. From autonomous research agents to enterprise copilots, the global economy is chasing one scarce resource: compute.
And there’s a bottleneck at the center of it all: GPUs.
NVIDIA can’t make them fast enough. Even with historic production ramp-ups, global supply is nowhere near keeping up—not in 2025, and not in 2026.
That’s why infrastructure is the next gold rush.
And the HGX GB300 is the new pickaxe.
🔋 What’s the HGX GB300?
A powerhouse server built around NVIDIA’s next-gen Blackwell architecture.
1 node = 8x GB300 GPUs
Over 40,000 TFLOPs of raw AI compute per unit
Built for LLM training, multimodal inference, synthetic biology, autonomous agents, robotics, and simulations
This is infrastructure at hyperscale, designed for the real-world AI economy—not just lab experiments.
It smokes everything before it.
And the demand? Off the charts.
💸 A Yield Engine, Not Just Hardware
Evonova isn’t buying these for speculation—we’re deploying them to produce daily revenue from global AI demand:
$4.50 to $7+ per GPU/hour
$850–$1,000+ per day per 8-GPU node
Over $300,000+ annualized per server
Hosted in clean-energy regions like Washington State and Iceland, our ops benefit from low power costs and strong net margins—often outperforming crypto mining on a yield-per-kilowatt basis.
And unlike token-based models, this is real income from real usage:
AI labs. Biotech firms. Finance quant teams. Research groups. Fortune 500 innovation hubs.
They're all competing for access.
🌍
Generative AI
Multimodal agents
Self-improving robotics
Autonomous scientific discovery
AI-native SaaS and enterprise platforms
All of it requires one thing: high-density compute.
Disclaimer
This article contains forward-looking statements, including projections about future revenue, demand for AI compute, and deployment timelines. These statements are based on current expectations and assumptions and are subject to risks and uncertainties. Actual results may differ materially due to factors such as changes in market conditions, technology adoption, regulatory developments, and operational execution. Nothing in this document constitutes a guarantee of performance or an offer to sell securities. Always conduct your own due diligence before making investment decisions.