Unlocking Infinite Compute: What is GPU Cloud & Neocloud AI?

The Bottleneck of Traditional Computing

Moore's Law ("double transistors every 2 years") is dead. CPUs hit their limit:

Single-Core Stagnation: Clock speeds plateaued ~3.5 GHz (2005).
Multi-Core Complexity: 32-core CPUs are expensive & power-hungry.
AI's Hunger: Training GPT-3 (175B params) needs 1,024 NVIDIA A100 GPUs (Source: GPT-3 Paper).

Enter GPUs (Graphics Cards): Originally for gaming, now AI's superpower.

GPU Cloud = Remote Access to Supercomputers. Instead of buying:

Pricing comparison: CoreWeave vs AWS EC2 P5

Neoclouds are AI-native cloud providers. Unlike hyperscalers (AWS/Azure/GCP), they:

Storage & VMs (e.g., AWS EC2)

Managed Services (e.g., AWS SageMaker)

Autonomous AI Infra: Self-healing, Spot-arbitrage, Energy-efficient

Example: CoreWeave raised $650M (Series C) at $19B valuation (Source: Bloomberg).

Simulated 100M+ protein structures on Google Cloud TPUs. Result: 200 years → 1 week (Source: Nature).

Trained AI models on Azure NDv2 (V100 GPUs). Saved $30M vs building private HPC (Source: Microsoft Case Study).

Runs 100,000+ simulations/day on AWS SageMaker. 10x faster than their on-premise cluster (Source: DCD).

Provider	Top GPU Instance	FLOPS (Peak)	Cost/Hr
Amazon	8x NVIDIA H100	16 PFLOPS	$98
Azure	8x NVIDIA A100	5 PFLOPS	$109
Google	8x NVIDIA H100	16 PFLOPS	$74
CoreWeave	8x NVIDIA H100	16 PFLOPS	$52

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