
AI Infrastructure
EscherCloudAI Pod Infrastructure provides access to high-performance compute architected from the ground up for AI workloads, available in our cloud or as an on-premises solution.
TM
Built with NVIDIA GPUs for enterprise- scale Al/ML models

Immersion-cooled servers reduce energy consumption by 35%
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Local area heat reuse to reduce CO2 emissions by up to 90%
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A single management platform to manage workloads across hybrid infrastructure
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Fully managed by EscherCloudAl - remote monitoring, patching, and hardware field services

Scale horizontally from as little as 8 GPUs with flexibility to reserve additional capacity in cloud


AI Platform
Resource & Cluster Management
Effortlessly scale compute to meet the performance needs of your HPC and AI workloads.
Provision and manage dedicated compute servers and virtual machines backed by GPUs

Simplify the deployment of containerised AI applications

Effortlessly set up your own compute cluster in the cloud


Scalable Storage Capacity
Grow your data volumes as and when required in an agile, future-proof storage environment

Seamless Data Movement
Provision storage to fit your needs and move data, volumes, and snapshots with ease

Reliability
Get guaranteed performance, bandwidth and high availability

Safe & Secure
Your data will remain safe and protected, at all times
Data Management
Scalable and secure storage to handle your large data sets in the cloud and on-premises.
MLOps
Streamline the operational aspects of machine learning, allowing data scientists to focus their efforts on innovation, model development, and delivering transformative AI solutions.
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Accelerating Production-Grade Al/ML Workloads
Accelerate your development by launching production-grade Al/ML workloads in a fraction of the time

Reduced Resources
Minimise the resources needed to build, train and deploy Al solutions

​Abstract Infrastructure Complexity
Simplify infrastructure complexities allowing you to concentrate on Al development
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Manage On-Premises and Hybrid Environments
Effortlessly oversee both on-premises and hybrid environments identically through a single plane of glass

AI Assist
Designed to help you accelerate your AI journey by bridging the skills gap that prevents organisations from scaling AI initiatives.
We set up and and get your workloads running in hours
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Onboarding Acceleration
Optimise performance with audits, batch engine enhancements and model production assistance

Workflow Productisation
Direct access to AI/ML experts to get answers within hours not days

Expert Support

Why EscherCloudAI?
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Designed for
High Performance
Cluster of best-in-class NVIDIA GPUs architected to scale

Easy Cluster
Management
Deploy Kubernetes cluster or batch environment in minutes

Expert AI
Assistance
Onboarding assistance and performance optimization to fast-track your AI initiatives

Hybrid AI
Cloud
Manage workloads across on-premises and cloud environment through a single platform
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European
Data Sovereignty
European-owned and operated with all data residing in Europe, ensuring compliance with privacy legislation

Sustainable
Infrastructure
Immersion cooled infrastructure reduces energy consumption by 35% and CO2 footprint by up to 90%