Product Lineup

Product Lineup: AI-Optimized Hardware and Builds

Feeda offers a curated selection of components and pre-configured builds, all vetted for AI compatibility. Our products emphasize local processing to ensure data privacy, low latency, and offline capabilities—ideal for sensitive applications like personal AI assistants or enterprise research.

1. Core Components and Modules:

• Processors & AI Accelerators: Intel Core Ultra with NPU integration, AMD Ryzen AI series, NVIDIA RTX 40/50-series GPUs with Tensor Cores, and custom AI chips like Google’s TPUs or open-source alternatives. Modular slots allow easy swaps for upgrades.

• Memory & Storage: High-bandwidth DDR5/LPDDR5 RAM (up to 128GB+), NVMe SSDs with AI-optimized caching (e.g., for model loading), and specialized storage like Optane for rapid dataset access.

• Motherboards & Chassis: Framework-inspired modular frames with hot-swappable bays. Options include compact Mini-ITX for portable AI rigs, ATX for powerhouse desktops, and rack-mountable for home servers.

• Cooling & Power: Liquid-cooled systems with AI-managed thermal profiles to handle sustained LLM inference without throttling. Eco-friendly PSUs with renewable energy certifications.

• Peripherals & Add-ons: AI-specific gear like neural interface headsets for immersive experiences, high-res webcams for computer vision apps, and haptic feedback devices for AI-driven simulations.

2. Pre-Built Configurations:

• Entry-Level AI Starter: $999 – AMD Ryzen 5, RTX 3060, 32GB RAM. Perfect for running small LLMs like Phi-2 or basic AI video editing with tools like ComfyUI.

• Creator Pro Workstation: $2,499 – Intel Core i9 with NPU, RTX 4080, 64GB RAM. Optimized for AI video creation (e.g., Runway ML alternatives), game dev with Unreal Engine AI plugins, and agent building.

• Research Beast: $4,999+ – Dual NVIDIA A100 equivalents, 128GB+ RAM, multi-TB SSDs. Tailored for heavy analysis, like training custom models on datasets or simulating AI agents in virtual environments.

• Portable AI Edge Devices: Modular laptops and tablets starting at $1,299, with swappable batteries, screens, and AI modules for on-the-go copilots.

3. Customization and Build Service:

• Online Configurator: A web-based tool (feeda.ai/build) lets users drag-and-drop components, simulate performance benchmarks (e.g., FLOPS for LLM inference), and estimate power draw. AI-assisted recommendations suggest builds based on use cases—like “AI Video Creation” optimizing for GPU VRAM.

• In-Store Build Stations: Hands-on assembly bays with expert technicians. Customers can watch or participate, learning about AI hardware along the way.

• Subscription Upgrades: “Feeda Feed” program ($49/month) offers priority access to new modules, free swaps, and AI software bundles (e.g., integrations with Hugging Face or Ollama for local LLMs).

All builds are tested for AI workloads, with benchmarks for tasks like generating 4K AI videos, running multi-agent simulations, or analyzing large datasets with Pandas and TensorFlow.