NeoClouds: The Next Generation of AI Infrastructure

What Is a NeoCloud?

A NeoCloud is a new category of cloud infrastructure designed specifically for today’s AI and machine learning demands. Unlike general-purpose hyperscalers, NeoClouds offer bare-metal access to top-tier GPUs, predictable flat-rate pricing, and infrastructure optimized for high-throughput deep learning.

Core Attributes

• GPU-Centric Architecture
  Leading NeoClouds like Voltage Park deliver high-bandwidth connectivity at every level of the stack. Inside each node, NVIDIA H100 SXM5 GPUs are linked by NVLink-4, providing up to 900 GB/s of intra-node bandwidth. Across nodes, Voltage Park deploys 3.2 Tb/s InfiniBand fabrics—4× faster than the standard 800 Gb/s Ethernet links used by other cloud providers. This architecture enables seamless model parallelism, minimizing I/O bottlenecks and accelerating training for today’s largest AI workloads.‍
• Transparent Pricing Models
  NeoCloud providers often publish a single per-GPU hourly rate that includes networking, storage, and support, eliminating complex billing surprises.‍
• Rapid Elasticity
  Infrastructure scales from a handful of GPUs to thousands in under 15 minutes, with no waitlists or over-provisioning.

What’s Driving Rapid NeoCloud Growth?

1. GPU Infrastructure Is Now the Norm

As the scale and complexity of AI models continue to grow, general-purpose CPUs are no longer sufficient for training and inference workloads. Modern AI development—particularly in fields like generative AI, computer vision, and large language models—demands highly parallel compute architectures optimized for massive data throughput.

According to IDC, servers with embedded accelerators (such as GPUs, TPUs, and custom AI chips) accounted for 70% of AI infrastructure spending in H1 2024, representing an explosive 178% year-over-year growth. This marks a decisive shift in how enterprises and research institutions build and deploy AI systems. IDC projects that this share will exceed 75% by 2028, with AI-accelerated infrastructure growing at a 42% compound annual growth rate (CAGR).

This trend underscores the centrality of specialized compute hardware—particularly GPUs—in powering the next generation of AI capabilities. As a result, access to reliable, high-performance GPU infrastructure is becoming a strategic priority for AI-native organizations across sectors.

2. Trillion-Dollar AI Market Expansion

Bain & Company estimates the AI hardware and software market will reach $780–$990 billion by 2027, growing at 40–55% annually, driven by rapid advancements in generative AI, increasing enterprise adoption across industries, and a surge in demand for high-performance compute infrastructure. This growth trajectory underscores the critical role of scalable and efficient AI infrastructure in enabling next-generation applications—from autonomous systems to personalized digital assistants.

3. Government Investment at Historic Scale

As AI becomes a cornerstone of economic productivity and national security, governments around the world are responding with unprecedented investments in digital infrastructure. These initiatives aim not only to accelerate AI innovation but also to ensure strategic autonomy, foster public-private collaboration, and build resilient, sovereign compute ecosystems.

• United States: The Stargate Initiative marks an unprecedented federal commitment to AI infrastructure, with up to $500 billion allocated over four years. The program kicks off with an immediate $100 billion investment, targeting the development of national compute hubs, sovereign AI capabilities, and strategic public-private partnerships. This initiative reflects growing recognition that AI leadership is critical to economic competitiveness and national security.
• European Union: The European Commission has launched the “Have Your Say” public consultation (open through June 2025) to shape future policy on cloud infrastructure, AI, and digital sovereignty. This effort signals the EU’s strategic intent to foster an interoperable and sovereign AI ecosystem, ensuring alignment with European values while encouraging industrial innovation across member states.

Bare-Metal vs. Virtualized GPU Clouds

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Virtualization adds measurable latency to compute and networking tasks. Bare-metal orchestration avoids these penalties, yielding predictable throughput, particularly vital for model-parallel workloads and high-performance inference.

Voltage Park NeoCloud: Infrastructure Overview

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NeoCloud clusters scale linearly thanks to an NVSwitch fabric that prevents the hop-penalty bottlenecks seen in traditional split-rack hyperscaler setups.

Real-World Use Cases

• LLM Training: Large clusters of H100s reduce training cycles from weeks to days for 100B+ parameter models.
• Sub-10ms Inference: Bare-metal slices ensure low-latency responses for chatbots and recommendation systems.
• Scientific Computing: Genomics, climate models, and simulations benefit from high-memory nodes and flash storage.
• Startup-Friendly Growth: Start small with 8 GPUs, and burst to thousands without CapEx commitments.

Cost Transparency and TCO Advantage

Voltage Park offers flat pricing:

• $1.99/hour per H100 for 100 GbE clusters
• $2.49/hour for 3.2 Tbps InfiniBand nodes

These rates include networking, storage, and support—no hidden fees.

Independent analyses confirm that eliminating egress and control-plane surcharges results in 30–50% lower TCO compared to virtualized public clouds.

Frequently Asked Questions

How fast can I launch a cluster?
Most users deploy within 15 minutes via GUI or API.

Do I need a long-term contract?
No. Pay only for active GPU-hours. Volume discounts start at 500 GPU-hours/month.

When should I choose InfiniBand over 100 GbE?
Use InfiniBand when workloads demand ultra-low latency or involve tight inter-GPU communication (e.g., model parallelism). 100 GbE works well for early exploration.

Why Voltage Park?

• Scalable On-Demand Infrastructure
  Over 24,000 NVIDIA H100s across six global Tier 3+ data centers.
• Bare-Metal Performance
  Full NVLink bandwidth, zero hypervisor drag, and flash storage keep workloads on schedule.
• Predictable Pricing
  Flat per-GPU rates with no surprise ingress/egress or control-plane fees.
• 24/7 Expert Support
  An experienced in-facility support team available around the clock.

Bottom Line: NeoClouds are not just a new way to rent GPUs—they represent a fundamentally better cloud architecture for AI. Voltage Park’s NeoCloud delivers the performance, predictability, and transparency that today’s ML teams need to build and ship faster. Get in contact with sales at Voltage Park to learn more.