Right now, your breakthrough AI model is trapped.

Whether you've spent months perfecting a computer vision algorithm, training a language model, or developing the next generation of autonomous systems, there's a good chance your innovation is locked to a single hardware vendor. Your CUDA-optimized model won't run on AMD. Your ROCm implementation can't leverage Intel's latest chips. Your cutting-edge research is confined to whatever hardware you happened to start with.

This isn't just inconvenient—it's killing innovation.

$47 billion is wasted annually on suboptimal AI hardware choices driven by software compatibility rather than performance needs. Promising startups abandon superior hardware solutions because porting costs are prohibitive. Researchers can't reproduce results across different institutions. The next breakthrough in AI efficiency sits unused because it requires a complete software rewrite.

We built the internet to connect everything. We created APIs to make software interoperable. But AI? We're still in the dark ages of vendor silos.

Until now.

Introducing HCP: Hardware Context Protocol

HCP is the universal translator for AI hardware. Just as HTTP made the web possible and TCP/IP connected networks worldwide, HCP makes any AI workload run on any hardware—seamlessly, efficiently, and without vendor lock-in.

For AI Developers

• Write once, run anywhere: Build your models without worrying about hardware compatibility
• Choose the best hardware: Switch between vendors based on performance and cost, not software constraints
• Future-proof your code: New hardware architectures become available instantly through HCP updates
• Focus on innovation: Spend time on algorithms, not hardware-specific optimization

For Enterprises

• Eliminate vendor lock-in: Negotiate better deals and avoid single-vendor dependency
• Optimize costs: Use the most cost-effective hardware for each workload
• Scale globally: Deploy AI across diverse hardware infrastructure worldwide
• Reduce risk: Avoid being stranded by vendor roadmap changes

For Researchers

• Reproduce anywhere: Run any published model on your available hardware
• Collaborate freely: Share research without hardware compatibility barriers
• Access innovation: Leverage cutting-edge hardware the moment it becomes available
• Democratize AI: Make advanced AI accessible regardless of institutional hardware budgets

For Hardware Manufacturers

• Compete on merit: Win customers based on performance, efficiency, and cost—not ecosystem lock-in
• Faster adoption: Get software compatibility from day one
• Innovation focus: Invest in hardware advancement, not software ecosystem development
• Market access: Reach all AI developers, not just those willing to rewrite code

Why Now?

The AI industry is at an inflection point. Models are becoming more capable and complex, hardware is becoming more diverse and specialized, and the cost of vendor lock-in is becoming unsustainable.

Edge AI is exploding: Billions of devices need AI capabilities, each with different hardware constraints. HCP enables one codebase to serve them all.

Competition is intensifying: New hardware architectures promise dramatic improvements in efficiency and performance. HCP ensures you can leverage these advances immediately.

Sustainability matters: Optimal hardware utilization can reduce AI's energy consumption by up to 40%. HCP makes this optimization automatic.

Innovation is accelerating: The half-life of hardware advantages is shrinking. HCP ensures your software investments aren't trapped by hardware decisions.