Lattice

Lattice streamlines infrastructure planning by acting as a research assistant, processing vast amounts of vendor documentation, benchmarks, and pricing data to deliver grounded recommendations. Key features include: • Research agent for data synthesis • Workload definition with scenario planning • Infrastructure configuration for model and hardware selection • Knowledge base construction from diverse sources • Pre-built knowledge blueprints for quick starts This platform significantly reduces the time and complexity associated with infrastructure decisions. It provides transparent reasoning for its suggestions, complete with full citations back to authoritative sources, ensuring that every recommendation is verifiable. Users can define specific workload requirements, including type, latency targets, budget constraints, and compliance needs, to receive highly targeted and optimized configurations. Lattice empowers users to configure their infrastructure with model selection (e.g., Claude, GPT-4, Gemini), hardware preferences (e.g., A100, H100), and framework choices (e.g., vLLM, TensorRT), offering suggested stacks optimized for their defined scenarios. It also allows for the creation of a curated knowledge base from various ingestion points like PDFs, URLs, GitHub repos, and Google Docs, where every recommendation links back to specific source chunks for easy verification. Additionally, 36 pre-built knowledge blueprints from major vendors like Anthropic, AWS, NVIDIA, and Google Cloud provide instant workspace population with relevant sources, scenarios, and stacks. Primarily serving research engineers, platform leads, and CTOs, Lattice is designed for teams needing to make confident system configuration decisions rooted in evidence. It's ideal for organizations focused on maintaining control over their data, as it runs privately on laptops or in the cloud. This tool is perfect for anyone looking to accelerate their infrastructure strategy with reliable, evidence-based guidance.