Infrastructure

We're building the next generation of composable AI infrastructure, a decentralized network of GPU clusters that provides the simplicity of serverless platforms. Our vision is to democratize access to GPU computing by creating a scalable platform where developers can run AI workloads without managing infrastructure complexity.

The Problem

Today's AI developers face a difficult choice:

• Serverless platforms (Lambda, Modal): Easy to use but limited GPU access and control

• Dedicated instances (RunPod, AWS EC2): Full GPU control but complex management and scaling

• Managed services: Expensive and vendor-locked

We're eliminating this by creating composable AI infrastructure that gives you the best of both worlds.

The Solution: Taste Metal

• Composable: Mix and match different GPU types, models, and workloads

• Decentralized: Distributed across multiple clusters and regions for reliability and performance

• Serverless Experience: Submit jobs and get results without managing infrastructure

• GPU-Optimized: Built specifically for AI workloads, not retrofitted from general-purpose cloud

• Cost-Effective: Pay for what you use, with intelligent resource sharing

• Web3-Native: Built-in asset registry with provenance, lineage, and ownership protection

How It Works

Submit & Forget

• Submit your AI workload through a simple API call or queue message

• Our system automatically finds the best GPU resources across our decentralized network

• Get results back without thinking about infrastructure, scaling, or resource management

Which means:

• No infrastructure management: Focus on your AI models, not servers

• Automatic scaling: Handle 1 request or 1000 requests seamlessly

• Global distribution: Your workloads run where it makes the most sense

Shared Intelligence Across the Network

• Once you upload a model, it's available everywhere (but still private to you)

• Models cached in Sydney are instantly available in Singapore

• Foundation models and supporting assets are stored once

• Popular models are automatically cached where they are needed

Which means:

• Faster startup: No waiting for model downloads

• Cost savings: No paying for duplicate storage across regions

• Global reach: Deploy your AI workloads anywhere in the world

• Collaboration: Share models and workflows with your team globally

Blockchain Asset Registry

At the core of our platform is Taste Protocol, a revolutionary asset registry that ensures complete provenance and ownership protection for all AI workloads:

Which means:

• Data ownership: Your models, datasets, and AI outputs are cryptographically yours

• Provenance tracking: Complete lineage from input data to final AI model

• Access control: Granular permissions for who can use your AI assets

• Compute-to-data: AI workloads run on your data without compromising ownership

• Audit trails: Immutable records of all AI operations and transformations