cloud-instance-shapes

name	cloud-instance-shapes
description	Research and compare machine shapes across major clouds and neo-clouds using normalized fields

Purpose

Compare compute instance shapes across providers with consistent fields, starting from fast aggregators and validating with provider sources.

Primary source

• https://instances.vantage.sh/

Use this first for broad discovery and filtering.

Secondary sources (validate and fill gaps)

• Official provider docs/pricing pages for AWS, GCP, Azure
• Neo-cloud docs/pricing pages (for example: Runpod, Lambda, CoreWeave, Vast)
• Provider CLI or API docs when shape metadata is unclear

Normalized fields

For each candidate shape, capture:

• provider
• instance_type
• region
• vcpu
• memory_gib
• gpu_count
• gpu_model
• local_nvme_gib
• network_bandwidth_gbps
• on_demand_price_hour_usd
• spot_or_preemptible_price_hour_usd
• source_url
• source_timestamp

If a field is unknown, set N/A and note why.

Workflow

1. Clarify constraints (workload type, GPU/CPU needs, min memory, region, budget).
2. Pull broad candidates from instances.vantage.sh.
3. Validate top candidates against provider docs for accuracy.
4. Return a compact comparison table plus recommendations.
5. Highlight tradeoffs (price vs performance vs availability risk).

Output format

• Short recommendation summary (top 2-4 picks)
• Comparison table using normalized fields
• Notes section for caveats and missing data
• Source links for every recommendation

Rules

• Do not infer missing numeric values; mark unknowns explicitly.
• Prefer current provider docs when aggregator and provider values differ.
• Call out region-specific constraints and stock/availability risk.
• Keep output concise and decision-oriented.