THE APEX TIMES
Amazon’s AWS chief framed open model demand as a strategic opening for Bedrock, while pointing to a longer-term goal of making the AI platform a platform-scale business comparable to EC2.
Amazon Web Services CEO Andy Jassy said the West is “very hungry” for additional open-source artificial intelligence models, as Amazon expands the lineup available through its Bedrock service. Speaking in the context of AWS’s fast-growing push to help customers build and run AI applications, Jassy emphasized that open models are increasingly central to how enterprises and developers will adopt generative AI tools.
In the same discussion, Jassy addressed Amazon’s ambition for Bedrock to reach the scale and importance of EC2, the company’s longtime cloud computing business line. EC2, Amazon’s elastic compute platform, is a core revenue driver for AWS that runs virtual machines and related workloads. Bedrock, by contrast, is designed to provide access to multiple foundation models and tooling from a single environment, aiming to reduce the friction of choosing, deploying, and managing AI models.
Amazon is also broadening Bedrock’s catalog with additional models, including China-based offerings. As reported, Amazon added Kimi and GLM, described in the report as open models originating in China. The move indicates that AWS is treating model availability as a competitive battleground, not only focusing on Western model ecosystems but also drawing from major international labs where the demand is coming from customers and developers.
The reported additions highlight a broader shift in enterprise AI procurement. Many organizations want flexibility, including the ability to compare model performance, reduce vendor lock-in, and tailor models to specific use cases. Open models are often seen as helpful for experimentation because developers can adapt and integrate them more directly than with fully closed systems, even though the practical deployment still depends on tools, permissions, and infrastructure.
Jassy’s comments about open models also underscore the political and technical complexity of AI supply chains. “Open” can mean different things across models, licensing terms, and distribution practices. In practice, major cloud providers often sit between model creators and customers by offering managed infrastructure, model hosting, and operational support, which can be as important to enterprise buyers as the model weights themselves.
Amazon did not, in the accessible reporting summary, provide additional details about pricing, model versioning timelines, or any constraints related to who can use the new models within Bedrock. The company also did not disclose in the cited material what percentage of Bedrock usage, revenue, or customer deployments is attributable to specific model families, so it remains unclear how quickly these particular new open models are expected to gain traction.
Even without those details, the strategic direction is visible: AWS wants Bedrock to function as a central gateway to model choice, including models from different regions, and it wants the service to become a pillar of AWS growth alongside EC2. For markets watching cloud infrastructure, the message is that AI platforms will likely be measured by their distribution and operational maturity, not just by individual model breakthroughs.
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