Purpose Built RackScale Clusters
Exeton delivers end-to-end support, ensuring seamless cluster deployment, operation, and performance at your datacenter or a colocation.
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01 Powering Unique Workloads
Every Exeton cluster is uniquely built to your workload specification.
02 Maximize Your Budget
Deploy an on-premise cluster and reduce reliance on cloud.
03 End-to-end Support
Full lifecycle support from configuration to post-deployment.
Components of Your Configurable Cluster Deployment
Interconnect
Description for Interconnect
Management
Description for Management
Software Stack
Description for Software Stack
CPU Computing
Description for CPU Computing
Accelerated Computing
Description for Accelerated Computing
Storage
Description for Storage
Agile & Flexible Enterprise Rack Integration
Architect your ideal HPC cluster from start to finish with our expert team.
L11 and L12 Rack Integration
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Exeton GPU servers offer the perfect environment for AI development teams to prototype, refine, and experiment with various AI architectures and algorithms before committing resources.
Prototyping and Pre-validation
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Seamlessly transition from concept to code. Our systems provide the sandbox environment needed to validate model performance.
Local & Small-Scale AI
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Keep your data secure and reduce latency by running inference locally.


Partnerships














Powering Unique Workloads
Every Exeton cluster is uniquely built to your workload specification. Configure the ideal computing infrastructure for AI, life science, engineering simulation, and other HPC workloads
Maximize Your Budget
Deploy an on-premise cluster and reduce the cost and reliance on cloud. Own your hardware for a lower total cost of ownership and increase your computing flexibility.
End-to-end Support
Supporting your cluster implementation with configuration and validation to delivery and post-purchase assistance. Our support extends from start to finish and beyond.
Components of Your Configurable
Cluster Deployment
Interconnect
Every Exeton cluster is uniquely built to your workload specifications. Configure the ideal computing infrastructure for AI, life science, engineering simulation, and other HPC workloads.
Management
Exeton clusters come preloaded with management software for monitoring your cluster's job scheduling and resource allocation, complete with documentation and support to help maximize your hardware's potential.
Software Stack
Exeton clusters come preloaded with management software for monitoring your cluster's job scheduling and resource allocation, complete with documentation and support to help maximize your hardware's potential.
CPU Computing
Our engineering experts assist and guide you in selecting the appropriate processors, considering factors such as architecture, I/O, cores, clock speeds, and core-matching it's Intel, AMD, or an ARM-based processor.
Accelerated Computing
GPUs and accelerators have become essential for a wide range of workloads, including AI training, simulations, rendering, analytics, and more. Achieve operational excellence with purpose-built GPU nodes.
Storage
Data capacity and access are critical for efficient and reliable storage. Configure your cluster with fast NVMe storage for high-demand sequentially accessed operations, and hard drives for long-term storage.
Agile & Flexible
Enterprise Rack
Integration
In an evolving technological landscape, infrastructure deployment agility and reliability are essential to maintain competitive advantage. Exeton's team of efficient and meticulous engineers allows us to architect your ideal HPC cluster from start to finish. We address all levels of integration from full multi-rack clusters to interconnected multi-node deployments.
Contact Us›L11 and L12 Rack Integration
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Exeton GPU servers offer the perfect environment for AI development teams to prototype, refine, and experiment with various AI architectures and algorithms before committing resources. These servers provide sufficient computational power for initial model training and validation before you scale to your larger computing infrastructure.
Prototyping and Pre-validation
+−
Seamlessly transition from concept to code. Our systems provide the sandbox environment needed to validate model performance, optimize latency, and ensure hardware compatibility before moving to large-scale data center clusters.
Local & Small-Scale AI
+−
Keep your data secure and reduce latency by running inference locally. These workstations are optimized for serving private LLMs, internal chatbots, and real-time data analytics without the ongoing costs of cloud-based APIs.


Partnerships



















