GPU server with 16x Tesla V100s
Built with NVSwitch to attain full NVLink connectivity (300 GB/s) between all 16 Tesla V100 GPUs. Save up to 90% by moving your deep learning workloads from cloud to on-premise.
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1000+ research groups trust Lambda
Easy system administration
Every computer comes with Lambda Stack, which includes frameworks like TensorFlow, PyTorch, and Keras. If a new version of any software is released, Lambda Stack makes upgrading easy.
Bestsellers
Our most popular options
Our bestsellers are designed to avoid CPU, memory, and storage bottlenecks for deep learning workloads.
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Basic
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16x Tesla V100 Server |
| 16-Way NVLink |
| 2x Xeon Platinum 8268 (24 Cores) |
| 768 GB of System Memory |
| 1.92 TB NVMe OS Drive |
| Customizable Data Drives |
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| - |
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$
224,632
Academic Discounts
COVID-19 Research Discounts
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| Customize |
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Premium
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16x Tesla V100 Server |
| 16-Way NVLink |
| 2x Xeon Platinum 8268 (24 Cores) |
| 1.5 TB of System Memory |
| 1.92 TB NVMe OS Drive |
| Customizable Data Drives |
| Dual-Port 100 Gb/sec Ethernet/IB for Storage |
| 8x 100 Gb/sec IB for Multi-Node Training |
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$
241,392
Academic Discounts
COVID-19 Research Discounts
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| Customize |
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Max
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16x Tesla V100 Server |
| 16-Way NVLink |
| 2x Xeon Platinum 8280M (28 Cores) |
| 3 TB of System Memory |
| 1.92 TB NVMe OS Drive |
| Customizable Data Drives |
| Dual-Port 100 Gb/sec Ethernet/IB for Storage |
| 8x 100 Gb/sec IB for Multi-Node Training |
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$
266,376
Academic Discounts
COVID-19 Research Discounts
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| Customize |
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custom
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4x or 8x Tesla V100 |
| NVLink |
| Any Processor |
| Up to 768 GB RAM |
| Fully Customizable Storage |
| 100 Gbps InfiniBand |
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+1 (866) 711-2025
enterprise@lambdalabs.com
Academic Discounts
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| Live Chat |
Not seeing what you're looking for?
GPUs, processors, storage, networking, and memory are fully customizable. Get in touch and we'll design a system that matches your specifications.
Explore our research
Lambda's research papers have been accepted into the top machine learning and graphics conferences, including ICCV, SIGGRAPH Asia, NeurIPS, and ACM Transactions on Graphics (TOG).
