# Problems & Solutions

**Problems and Solutions**

**Problem #1: Centralized Cloud Monopolies**

* Centralized cloud providers dominate the compute market, leading to high costs, opaque pricing, and vulnerability to outages and censorship. **Planck’s Solution:**
* A decentralized GPU network offering up to 90% lower costs, transparent pricing, and composable access to bare-metal infrastructure.

**Problem #2: Lack of AI-Native Infrastructure**

* Traditional blockchains are not optimized for AI workloads, lacking GPU integration, parallelism, or compute orchestration. **Planck’s Solution:**
* Planck₁ provides on-chain GPU scheduling, compute payments, and orchestration primitives purpose-built for AI.

**Problem #3: Bottlenecks in Model Training & Inference**

* Training large models or running inference pipelines is slow and expensive on centralized infrastructure. **Planck’s Solution:**
* Spin up H100/H200 GPU clusters instantly using GPU Console, with elastic scaling and distributed compute support.

**Problem #4: Limited Sovereignty for AI and DePIN Apps**

* Emerging AI and infrastructure protocols lack sovereignty and composability when built on legacy L1s. **Planck’s Solution:**
* Planck₀ allows launching sovereign AI chains and DePIN L1s with shared security, rollup SDKs, and interoperability tooling.

**Problem #5: Fragmented Tooling for Developers**

* Developers must cobble together fragmented tools for training, deploying, and coordinating AI systems. **Planck’s Solution:**
* Planck’s unified stack includes AI Studio for model development, Planck₁ for execution, and GPU Console for infrastructure—all composable on-chain.

**Problem #6: Regulatory and Enterprise Adoption Barriers**

* Enterprises require certification, reliability, and uptime guarantees that most decentralized networks lack. **Planck’s Solution:**
* Enterprise-grade SLAs, Tier 3/4 facilities, and upcoming industry-standard certifications through Rollman Group partnerships.


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