Our AI Cloud Consulting Approach
We’re flexible and adjust each cloud engagement to meet your business goals. As a baseline, we offer our time-tested process that maximizes results while keeping projects within scope.
1. Engage
Engage with a Cloud expert
Share your unique problems and goals with our AI Cloud Solutions Architect who is adept at helping you choose the optimal Cloud solution.
2. Assess
Assess your Cloud strategy options
Have our Cloud experts meet with your team to discuss solution options and trade-offs and plan implementation focused on solving your most challenging business problem first.
3. Implement
Implement on-time and on-budget
Out of the options we provide, choose the most suitable Cloud tools to build the proof of concept, then scale it into a robust solution ready for production.
4. Support
Get the training and support you need
Our Cloud experts will complete knowledge transfer and train your team to fully understand the technology. We’ll also provide continued support when needed.
Unlock Business Growth with AI Cloud Consulting
Develop in-house AI Cloud Platform tailored to you specific compliance needs with air-gapped environments, prioritizing the highest possible level of data and model security.
Optimize hardware investment and deliver value with GPU access that empowers Data Scientists and ML Engineers with the necessary compute resources in cost-effective way.
Streamline model deployment with one-click deployment solutions, simplifying the workflow, and reducing operational overhead.
Offer serverless GPUs to optimize cost and efficient sharing of GPUs. Take advantage of task scheduling automation and smart provisioning to keep costs predictable.
AI Cloud Engineering Benefits
And AI Cloud use cases that deliver real innovation and improve business value
AI Cloud
Sovereign AI Cloud
Implement your AI Cloud solution with data privacy and security built in and the operational complexity of data protection and sovereignty laws accounted for.
Control where you locate your data and computing infrastructure inside a co-located facility or your data center.
Enable all three aspects of sovereignty right from the start: data sovereignty, operational sovereignty, and software sovereignty.
Meet all relevant compliance regulations (GDPR, Schrems II) and fulfill transparency obligations while preserving data residency policies.
AI Bare Metal and Orchestration Platform
Access all the tools and frameworks to share GPU without the setup hassle. Manage and share GPU instances with your customers using a preconfigured software stack. Use Kubernetes to manage AI infrastructure efficiently.
Choose the framework (TensorFlow or PyTorch) and the environment (Jupyter Notebooks or VSCode) and be ready to expedite machine learning experiments and projects with a preconfigured software stack.
Enable on-demand GPUs with per-minute/hour billing, fast booting instances, and powerful storage and networking with minimal downtime.
Build-in auto healing and auto scaling with Kubernetes orchestration. Efficiently manage GPU cloud resources & reduce the GPU running costs with scale to zero and cluster autoscaler.
Proactively plan capacity and maximize uptime to ensure that your AI infrastructure consistently meets demand with observability tools built-in.
Use any combination of the scheduling techniques based on requirements such as fair share scheduler, guaranteed quotas, or GPU over provisioning through the platform.
Match specific AI tasks to the most suitable hardware configurations using various node pooling techniques that enable dynamic resource allocation.
AI MLOps Platform & Control Plane
Empower your data scientists and AI model engineers to build, train & deploy models and run AI and ML experiments without worrying about managing GPU cloud infrastructure. Leverage multiple cloud resources, data sources, server requests, system performance, logs, policies, and administer them all all through a single platform.
Run AI experiments for a variety of business use cases without worrying about setting up the MLOps pipeline. Use any foundation models – from open source world to author notebooks.
Maintain output accuracy and relevancy by connecting data sources and cleaning the data before training models. Use distributed clusters for faster training and experiment tracking.
Deploy models on the underlying infrastructure tuned to your processes and needs. Track requests to inference servers, optimize & debug based on log data.
Manage and operate on-premise and on cloud clusters and workloads along with underlying infrastructure from one user-friendly dashboard.
Tracking GPU, memory, and storage usage across your entire AI infrastructure in real-time. Proactively eliminate the unwanted waste of resources and downtime quickly.
LLM Deployment, Scaling & Monitoring
Ensure that agents, large language models, and AI infrastructure stay healthy, resilient, and meet the growing business needs in this competitive space.
Monitor and measure the performance of the generative AI agents and large language models when changing or updating data inputs.
Test model version updates and test end to end performance before switching to production to ensure smooth upgrade.
Use auto scaling and auto healing to respond to traffic and errors to ensure minimal downtime.
Expert AI Cloud Consulting Tailored for Your Business
Leverage our certified expertise to create a scalable, efficient, and reliable AI Cloud infrastructure tailored to your business needs. Let’s discuss how we can support your growth.
Connect with an AI Cloud ExpertConnect Kubernetes Expert
Connect with a Cloud Engineering Expert
Andrew Korolov
About your meeting
1. Describe Your Challenge & Vision
2. Share Your Business Goals
3. Get Your AI Cloud Roadmap
Why should we choose Maven Solutions for AI Cloud consulting services?
When choosing a cloud consulting service provider, cloud and infrastructure optimization experience counts. As a Cloud Native Computing Foundation (CNCF) member with 15+ years of experience as an IT infrastructure service provider, Maven Solutions has a proven track record to be a strong candidate in this category.
What benefits can we expect as a result of your AI Cloud services?
As we help organizations build stable, scalable, and cost-friendly Cloud architectures, you can expect a combination of benefits in terms of resilience, reliability, and cost reduction. After we assess your business needs and recommend appropriate cloud options, we will provide an estimate of the gains and KPIs you can count on achieving.
What is the typical process when engaging you for AI Cloud services?
After you schedule a meeting with our cloud native experts, our team will chat with you to gain a deep understanding of your project, specific requirements, challenges, and goals. If you choose to work with us, we establish a dedicated Slack channel for regular sync-ups, on-demand communication, and support.
