NVIDIA DGX-2 Deep Learning System 16 x 32GB V100 2x 24C 1.5TB RAM AI GPU ServerP/N:920-22987-2510-000

The NVIDIA DGX-2 is a state-of-the-art AI platform built to accelerate deep learning at enterprise scale. It integrates sixteen Tesla Referral V100 SXM3 GPUs from NVIDIA, linked through NVSwitch technology to provide extremely high GPU-to-GPU bandwidth and up to 2 petaFLOPs of mixed-precision performance.

Engineered for demanding, data-intensive environments, the DGX-2 is configured within a 10U server chassis and powered by dual Xeon Platinum processors from Intel. With 1.5TB of system memory and high-capacity NVMe SSD storage, it delivers the throughput required for large-scale AI training and inference. Pre-optimized for leading deep learning frameworks, it offers powerful, ready-to-deploy performance straight out of the box.

In Good Condition,Full Working OrderTested1 year Warranty
Included:

• 1 x NVIDIA DGX-2 AI GPU Server
• 2 x Intel Xeon 24-Core Platinum 8168 CPU
• 16 x Nvidia Tesla Referral V100 SXM3 32GB GPU PN: 699-2G504-0200-000
• 24 x 64GB DDR4 PC4-2666 RAM (1.536TB)
• x16 way Backplane for up to 16 x 2.5" SATA/NVMe Drives
• 8 x Mellanox ConnectX-5 100GbE Single-Port QSFP28 Network Card PN: CX555A
• 2 x 960GB NVMe M.2 Gen4 Mixed Use Samsung SSD
• 6 x PSU

System Specifications

• GPUs: 16X NVIDIA Tesla Referral V100
• GPU Memor@y 512GB total
• Performance@ 2 petaFLOPS
• NVIDIA CUDA Cores: 81920
• NVIDIA Tensor Cores: 10240
• NVSwitches: 12
• Maximum Power Usage: 10kW
• CPU: Dual Intel Xeon Platinum 8168, 2.7 GHz, 24-cores
• System Memory: 1.5TB
• x16 way Backplane for up to 16 x 2.5" SATA/NVMe Drives
• Network: 8X 100Gb/sec Infiniband/100GigE, Dual 10/25/40/50/100GbE
• Storage OS: 2X 960GB NVME SSDs
• System Weight: 360 lbs (163.29 kgs)
• System Dimensions Height: 17.3 in (440.0 mm), Width: 19.0 in (482.3 mm), Length: 31.3 in (795.4 mm)
• Operating Temperature Range: 5°C to 35°C (41°F to 95°F)

Features and Design
The Challenge of Scaling to Meet the Demands of ModernAI and Deep Learning

• Deep neural networks are rapidly growing in size and complexity, in response to the most pressing challenges in business and research. The computational capacity needed to support today’s modern AI workloads has outpaced traditional data center architectures. Modern techniques that exploit use of model parallelism are colliding with the limits of inter-GPU bandwidth, as developers build increasingly large accelerated computing clusters and push the limits of data center scale. A newapproach is needed—one that delivers almost limitless AI computing scale in order to break through the barriers to achieving faster insights.

Performance to Train the Previously Impossible

• Increasingly complex AI demands unprecedented levels of compute. NVIDIA DGX-2 is the world’s first 2 petaFLOPS system, packing the power of 16 of the world’s most advanced GPUs and accelerating the newest deep learning model types that were previously untrainable. With groundbreaking GPU scale, you can train models 4X bigger on a single node. In comparison with legacy x86 architectures, DGX-2’s ability to train ResNet-50 would require the equivalent of 300 servers with dual Intel Xeon Gold CPUs, costing over $2.7 million dollars.

NVIDIA NVSwitch—A Revolutionary AI Network Fabric

• Leading-edge research demands the freedom to leverage model parallelism and requires never-before-seen levels of inter-GPU bandwidth. NVIDIA has created NVSwitch to address this need. Like the evolution from dial-up to ultra-high speed broadband, NVSwitch delivers a networking fabric for the future, today. With DGX-2, model complexity and size are no longer constrained by the limits of traditional architectures. Embrace model-parallel training with a networking fabric that delivers2.4TB/s of bisection bandwidth for a 24X increase over prior generations. This new interconnect “superhighway” enables limitless possibilities for model types that can reap the power of distributed training across 16 GPUs at once.

AI Scale on a Whole New Level

• Modern enterprises need to rapidly deploy AI power in response to business imperatives and scale-outAI, without scaling-up cost or complexity. We’ve built DGX-2 and powered it with DGX software that enables accelerated deployment and simplified operations at scale. DGX-2 delivers a ready-to-go solution that offers the fastest path to scaling-up AI, along with virtualization support, to enable you to build your own private enterprise grade AI cloud. Customers can choose to use either pre-installed Ubuntu Linux Host OS, popular among developers, or install Red Hat Enterprise Linux Host OS if IT teams prefer to integrate DGX-2 with their existing Red Hat data center deployment. Now businesses can harness unrestricted AI power in a solution that scales effortlessly with a fraction of the networking infrastructure needed to bind accelerated computing resources together. With an accelerated deployment model, and an architecture purpose-built for ease of scale, your team can spend more time driving insights and less time building infrastructure.

Access to AI Expertise

• With DGX-2, you benefit from NVIDIA’s AI expertise, enterprise-grade support, extensive training, and field proven capabilities that can jump-start your work for faster insights. Our dedicated team is ready to get you started with prescriptive guidance, design expertise, and access to our fully-optimized DGX software stack. You get an IT-proven solution, backed by enterprise-grade support, and a team of experts who can help ensure your mission-critical AI applications stay up and running.

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