What makes DuploCloud the ideal turnkey solution for ramping up and accelerating AI/ML workloads? This blog will explore DuploCloud’s comprehensive DevSecOps platform and how it solves numerous AI/ML pain points. DuploCloud enables you to maximize opportunities for increased efficiency and time to market. Specific use cases from Contextual AI’s Soumitr Pandey, one of DuploCloud’s many AI/ML customers, are featured.
Benefits of Automation and Managed Services
Creating a cloud infrastructure and associated services requires you to choose from hundreds of options. One wrong configuration can result in massive performance and accessibility degradations.
As your AI/ML workloads ramp up, making configuration adjustments to maintain consistent and predictable service levels becomes increasingly important. Consequently, automation plays a crucial role in this process. By reducing DevOps spending, automation maximizes your developers' time and allows them to concentrate on developing applications that meet your customers' needs. Instead of tuning middleware and backend component layers, developers can focus on innovation. Therefore, a fully automated DevOps platform is much more than a "nice-to-have" feature; it is a fundamental requirement.
Automated Scalable Infrastructures for AI/ML workloads in Minutes
DuploCloud's out-of-the-box DevSecOps platform offers a wide array of managed services to transition you to a fully automated cloud environment. Our self-service architecture provides quick-create developer workspaces with built-in guardrails against unintentional, unwanted changes while ensuring security and compliance.
Turnkey access to scalable Kubernetes constructs and managed services ensures faster implementation. DuploCloud's power to set up, automate, and maintain your cloud infrastructure is more than apparent in this arena.
DuploCloud’s ready-made templatized approach to K8s enables fast adjustments to complex Kubernetes parameters. For example, you can easily change the number of replicas or use Horizontal Pod Autoscalars (HPA) based on CPU and RAM requirements. Contextual AI created a secure and compliant environment in under an hour, whereas before, it would take them days.
Streamlines AI/ML operations and enhances efficiency.
AI/ML workloads are particularly resource intensive, resulting in sometimes exponential costs. This can impede and slow the development workflow. For example, Contextual AI's GPU constraints are managed using DuploCloud’s seamless integration of Kubernetes, optimizing deployments and ensuring GPUs are only used as needed.
AI/ML development and testing often require numerous updates to databases and language models, which in a manual K8s environment would necessitate many hard-coded YAML changes. Not so in DuploCloud. You ensure scalability by changing only a few K8s parameters.
AI/ML Workload Optimization in Action
The Power of Scaling AI/ML Workloads through Managed DevOps
Supporting multiple deployment models is crucial to overcoming the inevitable scaling challenges of fast-growing workloads. DuploCloud’s multi-Tenant (multiple developer environment) model is vital to quickly duplicating and adjusting workspaces with minimal effort. You create new tenants in minutes and quickly clone them via Terraform.
Adapting CI/CD Pipelines for AI/ML Workloads
AI/ML requires many feedback and tuning cycles, necessitating multiple guardrail-protected development environments and a seamless CI/CD workflow. A/B testing, in particular, is a common experimentation and conversion rate optimization tactic used by many AI/ML shops. Because A/B testing is a highly complex task with a limited scope, organizations often need help to maximize its impact. Removing the complexity of the building, deploying, optimizing, and analyzing A/B tests enables them to meet their goals faster, increasing time-to-market substantially.
Automating CI/CD workflows eliminates the need to constantly update developer sandboxes. DuploCloud integrates with many popular automated code deployment tools using scripts customized for its exclusive Terraform provider.
In addition, the platform's automated management introduced a formal, standardized process for operations where none existed before. Constraints on development resources were no longer an issue in managing and troubleshooting the platform. Consistent, easily duplicated developer environments made sophisticated, potentially complex setups using Kubernetes' extensive scaling capabilities quick to spin up and utilize.
Ensuring Security and Compliance for AI/ML
DuploCloud ensures your infrastructure is “compliant by default.” If it’s not compliant, we don’t deploy it, and our numerous “single-pane-of-glass” observability tools provide a cohesive, up-to-date picture of potential security risks and mitigating actions to close gaps.
Deploying applications securely and compliantly is something that Contextual AI notes is now within their reach with minimal effort when provisioning various resources. “We didn’t even have to think about all the configuration changes that might be needed,” says Soumitr Pandey.
Version and Data Management in an AI/ML Project
Seamlessly switching between various foundational models in AI/ML is essential. “We needed the ability to spin up any number of recently developed models with a minimum of effort,” sometimes on a moment’s notice, says Soumitr. Using STO Service Mesh, you can, for example, dynamically select LMs (logical machines). A new K8s Pod is spun up with a few clicks and immediately visible to the application.
Exploring Emerging Technologies in AI/ML
Staying Ahead of the AI/ML Curve
Like many other AI/ML companies, Contextual AI will soon expand into a multi-cloud, easily achievable with DuploCloud, which can support all public clouds, including On-Premises. For example, with DuploCloud, a requirement to deploy on Azure can be achieved effortlessly when parallel infrastructures run in multiple cloud accounts.
Multi-cloud flexibility is essential to maintaining a fluid, dynamic cloud infrastructure environment. Some public cloud tools will inevitably be better suited to a specific customer or environment from a cost or functional perspective. DuploCloud makes managing them all possible using a single intuitive interface.
Future-proofing your AI/ML Workloads
DuploCloud provides a reliable and extensible solution that continually anticipates the needs of cloud customers whose dynamic AI/ML workloads are their bread and butter. When planning, consider the following:
- Align your choice of provider with your long-term goals and stay versatile and adaptable to future changes. Select a platform that offers a broad array of solutions and options depending on the security, compliance, performance, and scalability that your applications require.
- Determine cost considerations for meeting these goals. DuploCloud is one of the few platforms available to accommodate unlimited growth potential at a flat yearly cost, which is ideal for start-ups.
- Choose a platform that emphasizes containerization to isolate dependencies. DuploCloud offers out-of-the-box support for Docker containers, which is the open-source containerization standard.
- Utilize machine-readable configuration files using GitHub. DuploCloud’s CI/CD integration with GitHub Actions, for example, makes automated deployment immediately achievable with an array of ready-to-run scripts.
Watch the Webinar
Watch the associated webinar for more insights and information about how DuploCloud can accelerate and optimize your AI/ML workloads in an automated, developer-friendly, self-serve, all-in-one DevSecOps Platform.
About DuploCloud
Using DuploCloud’s intuitive developer self-serve DevOps Platform, you can automate almost all of the best practices listed above. The platform automates quick setup and “set and forget” management of flexible and scalable infrastructures and managed services across multiple clouds. Our team of seasoned DevOps professionals can work with you to ensure a seamless migration and provide customization of your environment according to your security and compliance needs.
Contact DuploCloud for more information or a product demo today.
