AllCloud has announced a
new multi-year Strategic Collaboration Agreement with AWS to help customers move AI from experimentation into everyday use. The agreement builds on a long-standing relationship between the two companies and focuses on practical generative AI and industry-specific solutions for organizations across North America and EMEA. The renewed collaboration reflects what many enterprises are asking for now: clearer ways to design, deploy, and run AI inside AWS environments without having to reinvent architectures for every project.
Making AI deployments faster and easier to scale
A core part of the agreement is closer work between AWS and AllCloud on solution development. Instead of treating each AI project as a custom build, the two teams are creating reusable components that can be applied across customer environments.
Peter Nebel, Chief Strategy Officer at AllCloud, explained to ChannelE2E how AWS is taking an active role in this effort. “AWS is investing directly in AllCloud’s solution development efforts to build reusable components that speed the time to deploy AI architectures in a customer's AWS environments while providing them a platform to scale their agentic initiatives.”
This approach is meant to remove one of the biggest blockers to AI adoption: the time and effort spent designing core infrastructure over and over again. With standardized building blocks in place, teams can focus more on how AI supports real business needs.
AI built with industry requirements in mind
The SCA also supports AllCloud’s work on industry-specific solutions, including environments that come with strict security and compliance requirements. These are cases where AI needs to be carefully designed around data sensitivity, governance, and operational controls.
Rather than treating these requirements as limitations, the collaboration allows AllCloud and AWS to design AI architectures that reflect how customers actually operate, especially in regulated sectors.
ISVs as part of the solution, not an add-on
Independent Software Vendors play a clear role in the expanded collaboration. AllCloud is working with ISVs to deliver joint offerings that combine software licenses with implementation and customization services.
“AllCloud partners with ISVs to bring joint solution offerings around use cases building momentum in the marketplace,” said Nebel. “For example, AllCloud has partnered with Datadog to develop an observability offering specifically geared to GenAI workloads deployed on AWS.”
By baking ISV technology into structured offerings, customers spend less time integrating tools and more time using them. It also gives AllCloud a straightforward way to bring proven technologies into AI projects.
Turning AI demand into real offerings
Many organizations are interested in AI but struggle to turn that interest into deployed solutions. AllCloud’s AI Fusion framework is designed to address this by defining the shared infrastructure needs behind most GenAI deployments.
“We have identified infrastructure components that are needed for every GenAI deployment and packaged them so AI engineers can focus on customizing use cases to client needs rather than trying to be infrastructure engineers,” Nebel said.
That work is informed by customer experience. “We have worked directly with our customers to understand their pain points supporting and maintaining AI workloads within AWS and built solutions that plug these gaps while leveraging Bedrock and Agentcore services for their strengths,” he added.
Together, the AI Fusion framework and the new SCA are meant to give customers a clearer, more predictable path to using generative and agentic AI on AWS. Instead of one-off projects, the focus is on repeatable delivery, partner integrations, and solutions designed for how enterprises actually run their environments.
