One assessment.
Every open model.

Infrastructure, not just a list.

Replace spreadsheet comparisons with a single pipeline from requirements to a GPU bill of materials.

The problem with choosing a model by hand

You want to ship an assistant. Instead you're maintaining spreadsheets.

How it works

Requirements in, deployment plan out.

tasks:         ["rag", "chat"]
languages:     ["en", "ur"]
contextTokens: 32000
deployment:    "on_prem"
traffic:       { peakRps: 10, in: 2000, out: 400 }

Publicly reported deployments across banking, healthcare, government and logistics. Each card links to its source.

• GermanyHealthcare & banking

  Confidential-computing LLM service for regulated customers

  Edgeless Systems · Privatemode AI

  Built an end-to-end encrypted LLM service for healthcare and banking clients whose data rules ruled out ordinary cloud AI. Chose Llama because it was open, multilingual and self-hostable, and ran a quantised INT4 build to balance quality against compute.

  Llama 3.1 70B → Llama 3.3 70B (AWQ INT4)
  Source: Meta — Llama case study ↗
• Japan / globalFinancial services

  Firm-wide generative AI on open models

  Nomura

  The investment bank set out to make generative AI available across the firm and standardised on Llama models, citing faster innovation, transparency, bias guardrails and strong results on summarisation and code generation.

  Llama (Meta)
  Source: AWS customer case study ↗
• United StatesFintech & payments

  Customer support systems built on an open model

  Block · Cash App

  Block integrated Llama into the support systems behind Cash App. Because the weights are open, the team can experiment and customise per use case while keeping customer data private.

  Llama (Meta)
  Source: Meta AI blog ↗
• BrazilHealthcare & hospitals

  Automated hospital discharge summaries

  Instituto de Inteligência Artificial na Saúde · NoHarm

  The NoHarm Summary Discharge project drafts and improves patient discharge summaries to cut administrative load, reduce errors and give patients complete post-hospital instructions — one of the highest-value, highest-risk hospital use cases in the playbook.

  Llama (Meta)
  Source: Meta — Llama AI innovation ↗
• United Arab EmiratesHealthcare & research

  Bilingual Arabic–English biomedical assistant

  MBZUAI · BiMediX2

  A bilingual expert system providing virtual medical advice and diagnostic support in English and Arabic, including medical-image queries and spoken interaction — an example of open models serving languages that closed APIs cover poorly.

  Llama (Meta)Seamless-M4T
  Source: Meta — Llama AI innovation ↗
• US · EU · Japan · Korea · NATO-associatedGovernment & public sector

  Open models for sovereign and national-security use

  US, EU and allied governments

  Meta extended Llama access to US agencies and contractors and later to governments including France, Germany, Italy, Japan and South Korea, noting that open weights can be downloaded and deployed in secure environments at various classification levels without sending data to third-party providers.

  Llama (Meta)
  Source: Engadget (via Yahoo Tech) ↗

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