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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Penguin Solutions
Penguin Solutions

Penguin Solutions

Founded by Tom Coull in 1998

Design, build, and deploy high-performance computing clusters

Pricing model

Paid

Rating

★ People love it

Time to value

Requires Expertise

You can use Penguin Solutions to design, build, and manage large GPU data center clusters for artificial intelligence workloads. It provides pre-tested architecture blueprints, custom server hardware, and management software to run distributed training and inference jobs. You can monitor cluster health, manage high-density memory pools, and set up liquid cooling architectures. The service assists organizations with hardware procurement, network cabling, operational maintenance, and automated cluster provisioning, ensuring high-availability computing for research labs, financial institutions, and enterprise engineering departments without running into memory bottlenecks.

What Penguin Solutions does

Assemble and cable GPU server racks for data centersProvision cluster nodes with pre-installed operating systemsMonitor compute node health and memory usage across serversConfigure high-throughput network fabrics between compute nodesConduct burn-in hardware stress tests prior to productionManage ongoing hardware maintenance and firmware updatesAutomated cluster provisioning and node configuration with ClusterWareAIValidated reference architectures for multi-thousand GPU clustersSpecialized CXL memory pooling and KV cache hardware systemsIntegrated liquid and immersion cooling setups for data centersFull hardware burn-in testing and rack assembly before deliveryContinuous remote monitoring and operational change management

Pricing breakdown

Pricing model: Paid

Frequently asked

NVIDIA, Dell PowerEdge, Dell PowerScale, AMD EPYC, Intel Xeon, NVIDIA HGX/DGX, AMD Instinct GPUs, Intel Xeon Scalable, Dell PowerEdge Servers, Dell PowerScale Storage, Red Hat Enterprise Linux, Slurm Workload Manager, Kubernetes for AI

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Penguin Solutions, AI infrastructure, GPU clusters, high-performance computing, data centers, ClusterWareAI, MemoryAI, ComputeAI, OriginAI, NVIDIA DGX, server deployment, hardware architecture, liquid cooling, inference clusters, distributed computing, server management