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Meta Llama 4 becomes available on Amazon Web Services

Meta's new AI models, Llama 4 Scout 17B and Maverick 17B, are now available on Amazon SageMaker JumpStart, with a launch on Amazon Bedrock planned.

By the Aheadline editorial team·9 aug. 2026·2 min read·Source: Entity-watch: Meta AIVerifierad signalAI-generated
Meta Llama 4 becomes available on Amazon Web Services
Meta Llama 4 becomes available on Amazon Web Services
Meta Llama 4 becomes available on Amazon Web Services
By · Verktygs- & infrastrukturreporter
Last updated

What happened?

Meta has released its two new Llama 4 models, Scout 17B and Maverick 17B, which are now available on Amazon SageMaker JumpStart. A fully managed serverless version is reportedly also in development for Amazon Bedrock. The models feature advanced multimodal capabilities to process both image and text, and support an extended context window.

Key facts

Lanseringsdatum7 april 2024
ModellerLlama 4 Scout 17B, Llama 4 Maverick 17B
PlattformAmazon SageMaker JumpStart

Why it matters

The Llama 4 series represents a step forward in performance and efficiency compared to previous generations of Meta's open models. Providing them on AWS platforms makes it easier for organisations to deploy multimodal AI applications in scalable environments without having to build their own infrastructure from scratch.

Who is affected?

The announcement primarily concerns AI developers, data scientists, and companies building products on AWS cloud infrastructure. Both global and Swedish organisations using Amazon SageMaker can now integrate and evaluate the new Llama 4 models.

Impact on the EU

The models are available globally via Amazon SageMaker JumpStart, which includes EU regions on AWS. This means that European and Swedish developers can build on Llama 4 within their existing AWS cloud environments.

What else you should know

The source material also mentions an analysis from Goldman Sachs regarding US tariff policy and its potential impact on Amazon's e-commerce, but this constitutes a separate economic track with no direct connection to the model integration.

Frequently asked questions

Quick answers about this story

Vad har hänt?
Meta har lanserat modellerna Llama 4 Scout 17B och Maverick 17B, och de har gjorts tillgängliga på Amazon SageMaker JumpStart.
När hände det?
Tillkännagivandet publicerades den 7 april 2024.
Varför spelar det roll?
Det gör det enklare för utvecklare att bygga och skala flermodala AI-applikationer direkt i AWS molnekosystem.
Påverkar det EU och Sverige?
Svenska och europeiska utvecklare med AWS-konton får direkt tillgång till de nya modellerna via befintliga molnregioner.
Original source
Entity-watch: Meta AI·36kr.com

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Topics

#Amazon Web Services (AWS)#AI-infrastruktur#Multimodal AI#Large Language Models (LLM)#Models
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How this affects you

Read the article through your role

  • Assess technical risk: model choice, vendor lock-in, data flow and running cost.
  • Update the architecture doc if new APIs or regulations touch production.
  • Ensure observability + rollback plan before rolling out to production.

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