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.
Built with NVIDIA GPUs for enterprise- scale Al/ML models
Immersion-cooled servers reduce energy consumption by 35%
Local area heat reuse to reduce CO2 emissions by up to 90%
A single management platform to manage workloads across hybrid infrastructure
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
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
Get guaranteed performance, bandwidth and high availability
Safe & Secure
Your data will remain safe and protected, at all times
Scalable and secure storage to handle your large data sets in the cloud and on-premises.
Streamline the operational aspects of machine learning, allowing data scientists to focus their efforts on innovation, model development, and delivering transformative AI solutions.
Accelerating Production-Grade Al/ML Workloads
Accelerate your development by launching production-grade Al/ML workloads in a fraction of the time
Minimise the resources needed to build, train and deploy Al solutions
Abstract Infrastructure Complexity
Simplify infrastructure complexities allowing you to concentrate on Al development
Manage On-Premises and Hybrid Environments
Effortlessly oversee both on-premises and hybrid environments identically through a single plane of glass
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
Optimise performance with audits, batch engine enhancements and model production assistance
Direct access to AI/ML experts to get answers within hours not days
Cluster of best-in-class NVIDIA GPUs architected to scale
Deploy Kubernetes cluster or batch environment in minutes
Onboarding assistance and performance optimization to fast-track your AI initiatives
Manage workloads across on-premises and cloud environment through a single platform
European-owned and operated with all data residing in Europe, ensuring compliance with privacy legislation
Immersion cooled infrastructure reduces energy consumption by 35% and CO2 footprint by up to 90%
What Others Say
CTO of Intelligent Voice
At Intelligent Voice, we understand the importance of powerful computing resources for training and inferencing machine learning models. That's why we're excited to partner with EscherCloudAI, whose GPUs offer unparalleled performance and efficiency for our customers.
With EscherCloudAI's GPUs, we can accelerate the development and deployment of AI solutions, helping businesses and organizations to make better decisions and drive innovation