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.
EscherCloudAI's Solutions
Accelerate Your AI Workload with Trust, Security, and Compliance
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.
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.
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
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
Reduced Resources
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
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Manage On-Premises and Hybrid
Simplify infrastructure complexities allowing you to concentrate on Al development
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
