AI/LLM · Multi-Cloud
AI21 Labs
AI21 Labs develops and serves its own Jamba family of LLMs and related services via its AI21 Studio API and private deployments, while also distributing Jamba models through third‑party clouds such as Azure and upcoming NVIDIA APIs.[5][6][7] Public materials describe deployment options across public cloud and private/on‑prem environments but do not reveal a full production stack beyond this high‑level multi‑cloud posture.[3][5][6]
Foundation proximity: Native (own / self-hosted weights)
Foundational models & how they consume them
PrimaryJamba (base / instruct family, hybrid SSM-Transformer MoE)· AI21 Labs / AI21 Studio · Native (own / self-hosted weights)
SecondaryJamba 1.5 Large· Azure AI model catalog (Azure AI Studio) · Cloud-hosted (Bedrock/Vertex/Azure)
TertiaryJamba 1.5 Mini· Azure AI model catalog (Azure AI Studio) · Cloud-hosted (Bedrock/Vertex/Azure)
TertiaryJamba (open-source weights, Apache 2.0)· Self-hosted / Hugging Face / upcoming NVIDIA API catalog · Native (own / self-hosted weights)
Cloud & datastore
Multi-CloudCompliance
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FAQ
Does AI21 Labs use a foundational AI model?
AI21 Labs uses Jamba (base / instruct family, hybrid SSM-Transformer MoE), Jamba 1.5 Large, Jamba 1.5 Mini, Jamba (open-source weights, Apache 2.0) (Native (own / self-hosted weights)).
What cloud does AI21 Labs run on?
AI21 Labs runs on Multi-Cloud.
How close does AI21 Labs run to the foundational model?
AI21 Labs is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.
Sources
ai21.com ↗Also on the map
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Architecture inferred from public sources · confidence low · verify before betting on a detail.