AI Will Dominate The Future 🤖 $TAO and $AKASH are showing the market where compute capital is moving. The AI infrastructure race is accelerating faster than many people realize. Every AI model, every autonomous agent, every inference call runs on GPU compute. The demand is not slowing. And the supply can no longer keep up. GPT-4, Claude, Grok, and the wave of models launching in 2026 are driving sustained GPU demand that centralized providers are already struggling to meet. AWS, Google, and Microsoft are rationing H100 and H200 access. Enterprise waitlists stretch into quarters. There's a deeper problem than availability. Enterprise AI in healthcare, finance, and legal tech requires hardware-verified data privacy, and shared public cloud architecture cannot meet that requirement for the workloads where it matters most. Targon is the decentralized GPU cloud built to fill exactly that gap. It operates hundreds of NVIDIA H200 GPUs with 99% uptime and sub-50ms latency. The Targon Virtual Machine combines Intel TDX, AMD SEV, and NVIDIA Confidential Computing to keep data encrypted through the full compute cycle, enabling enterprise workloads the centralized cloud cannot legally host. Dippy AI migrated 8.6 million users to Targon's network, and Intel co-authored a whitepaper validating the infrastructure approach in March 2026. The $10.5M Series A was led by OSS Capital, Digital Currency Group, and Shopify's Tobias Lütke. I've been watching compute become the defining resource of this cycle. Targon is already serving the enterprise use cases that centralized clouds cannot touch. #Bittensor #DeAI
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