cloudfit-provider-aws

AWS EC2 provider plugin for cloudfit-core.

Reads AWS's public EC2 price list and normalizes every Linux instance type into MachineType objects that cloudfit-core understands, with on-demand and 1-year reserved prices, each family's perf_factor, and each GPU's model and memory. No AWS account or credentials needed.

Installation

pip install cloudfit-provider-aws

Requires Python 3.10 or newer (CI tests 3.10 through 3.14) and cloudfit-core>=0.9.1. The only dependency is cloudfit-core: no AWS SDK.

Quick start

from cloudfit import WorkloadProfile, rank
from cloudfit_provider_aws import AWSProvider

candidates = AWSProvider().fetch_instances(region="us-east-1")

profile = WorkloadProfile(vcpu=32, ram_gb=128, archetype="cpu", optimize_for="balanced")
for result in rank(profile, candidates)[:5]:
    m = result.instance
    print(f"{m.id:<20} score={result.score:.3f}  ${m.price_hr:.4f}/hr  {result.reason}")

Output from a live run (2026-10-23):

m6i.8xlarge          score=1.000  $1.5360/hr  Led by performance fit.
m6id.8xlarge         score=0.999  $1.8984/hr  Led by performance fit.
m6in.8xlarge         score=0.999  $2.2277/hr  Led by performance fit.
m6idn.8xlarge        score=0.998  $2.5459/hr  Led by performance fit.
m7g.8xlarge          score=0.990  $1.3056/hr  Led by performance fit; m7g.8xlarge cores ~10% faster than baseline.

The same script is examples/recommend.py.

Where the data comes from

AWS publishes each region's full EC2 offer as a public price list file. Every row is one price term and also carries the instance's attributes, so one file gives both the catalog and its prices. The files are large (about 300 MB for us-east-1), so the provider streams them row by row; a region takes roughly 15 to 20 seconds and is cached on the provider instance. Fetch on a schedule, never on a request path.

Each MachineType carries:

GPUs. The price list has no GPU model column, and its GPU memory column is the total across GPUs for some families and per GPU for others. So known families (p2 through p6-b200, g2 through g6e) take their model and per-GPU memory from a table: a p4d is 8 × A100 40 GB, not 8 GPUs with 320 GB each. A GPU family newer than the table keeps its GPU count, splits the column's memory across the GPUs, and has no model, so cloudfit-core scores it on memory fit instead of throughput.

Previous generations are deprecated, which lowers their availability score; AWS keeps them running, so none is ever tombstoned.

Not included

Snapshots

examples/generate_snapshot.py writes a JSON snapshot in the same format as cloudfit-provider-gcp's, for the five SNAPSHOT_REGIONS (us-east-1, us-east-2, us-west-2, eu-west-1, ap-southeast-1) by default. It takes about a minute and writes about 6,000 instance types; it fails without writing anything if any region comes back empty.

python examples/generate_snapshot.py --output aws_snapshot.json

fetch_instances_all_regions() covers all 34 regions in AWS_REGIONS (about 30 downloads), or the list you pass.

Repository structure

cloudfit-provider-aws/
├── README.md
├── CHANGELOG.md             # release notes; GitHub Releases are built from it
├── CITATION.cff
├── pyproject.toml
├── Makefile                 # version bump, tag, test, lint, build
├── LICENSE
├── .gitignore
├── .github/
│   ├── dependabot.yml       # monthly GitHub Actions updates
│   ├── ISSUE_TEMPLATE/      # AWS coverage requests and scope feedback
│   └── workflows/ci.yml     # lint, mypy --strict, tests; PyPI publish and release on tags
│
├── cloudfit_provider_aws/
│   ├── __init__.py          # exports AWSProvider, parse_price_list, regions
│   ├── provider.py          # AWSProvider: implements the Provider base class
│   ├── pricelist.py         # streams and filters the public price list CSV
│   ├── normalizer.py        # price list attributes → MachineType, GPU table
│   ├── regions.py           # AWS_REGIONS and SNAPSHOT_REGIONS
│   └── py.typed             # ships type hints (PEP 561)
│
├── examples/
│   ├── recommend.py         # live fetch → rank
│   └── generate_snapshot.py # build a snapshot for the five snapshot regions
│
└── tests/
    ├── test_pricelist.py    # parsing and filtering, against recorded rows
    ├── test_normalizer.py   # field mapping, GPUs, storage, exclusions
    ├── test_provider.py     # caching, region failures, ranking with cloudfit-core
    └── fixtures/
        └── us-east-1-sample.csv   # recorded slice of the us-east-1 price list

Related

• cloudfit-core: scoring engine. The thing this provider plugs into.
• cloudfit-provider-gcp: the GCP equivalent.
• cloudfit-api and cloudfit-ui: currently serve the GCP snapshot; AWS support is the next step.

License

Apache 2.0. See LICENSE.