Cloud Computing

What is MIG? Multi-Instance GPU Benefits Explained

Multi-Instance GPU (MIG) is a new technology that allows a physical GPU to be partitioned into separate instances, providing significant benefits for AI deployments and GPU utilization. With MIG, a single GPU can be divided into multiple instances, each with its own high-bandwidth memory, cache, and compute cores. This enables fine-grained GPU provisioning, allowing IT and DevOps teams to allocate the right-sized GPU instance for each workload, optimizing resource utilization and improving performance.

What is Model Serving Exactly? - An Example With Amazon Web Services (AWS)

Why Model Serving? Model Serving is an important step in the machine learning lifecycle when creating an AI application. It involves taking the model that's been trained with a dataset and making it accessible for prediction or inference requests.

Zero Friction

Our goal is to move the needle within your business using transformative AI solutions while creating as little friction as possible for you.

Available Domain Expertise

Big Data Applications
Got the plug? We plan, enhance and turn vast amounts of data collection into long-term cutting-edge insight machines for leadership and stakeholders.
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AI Chatbots
Got a user base? We ideate and integrate versatile, GDPR-compliant chatbots, optimized for KPI, user intent, privacy and performance.
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AI PoCs & Protoypes
Got a hunch? We guide you through analyzing project feasibility and chart the path from concept to successful AI implementation.
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Kubernetes & OpenShift
Sky is the limit? We navigate you through the complexities of container orchestration, assess infrastructure scalability, and blueprint the transition from monolithic to microservices architecture.
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AI SaaS MVPs
‍Got the product moat? We develop and launch your MVP in less than two weeks. This means you can introduce your product to market faster, facilitate early user feedback and we pivot your strategies as needed.
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