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On-Premises Deep Learning Solutions

Infuse Your Business with AI Built on the Deep Learning Data Center

Maximize Performance. Minimize Costs.

GPU-accelerated data centers deliver breakthrough performance with fewer servers and less power, resulting in faster insights with dramatically lower costs. Train the most complex deep learning models to solve your biggest challenges with NVIDIA deep learning solutions powered by NVIDIA^® data center GPUs. Ideal for production-scale training and inference, NVIDIA's world-leading performance accelerates the most popular deep learning frameworks and over 550 high performance computing (HPC) applications.

On-Premises Workloads at a Glance

Training

To drive AI, data centers need to be able to train massive amounts of data. This requires infrastructure with high compute power, generous storage capacity, energy efficiency, and scalability. Learn how NVIDIA is accelerating all deep learning training workloads.

Inference

Deploying seamless, lightning-fast AI services requires high throughput and low latency. NVIDIA GPUs deliver dramatic boosts in efficiency, performance, and scalability to the data center, at lower cost. Explore the benefits of the NVIDIA deep learning inference platform.

Power AI Workloads with NVIDIA GPUs

From training to inference, NVIDIA is partnering with OEMs to create GPU-accelerated, certified systems for every AI implementation.

Explore what’s available, and discover the right fit for your business.

See the full range of solutions available from all of our partners.

View Full Catalog

GPU-Optimized Deep Learning Software from Your Desktop

Access GPU-Optimized Software from Your Desktop

Now you can download all the deep learning software you need from NVIDIA NGC—for free. NGC provides simple access to a comprehensive catalog of GPU-optimized software tools for deep learning and high-performance computing (HPC). Take full advantage of NVIDIA GPUs on the desktop, in the data center, and in the cloud.

Explore NGC

Explore Resources for the GPU-Accelerated Data Center

View eBook: 5 Steps to Get Started in AI

View Document: The Economic Impact of a Deep Learning System

View Whitepaper: Maximize Data Center Productivity with Application Workload Analysis (PDF – 172 KB)

View Catalog: GPU-Accelerated Applications

View Webpage: Learn About Tensor Core Technology

View Webpage: Explore All NVIDIA Data Center Products

Get more resources on on-prem AI solutions, straight to your inbox.

Cisco On-Premises AI Platforms

Cisco Unified Computing System (UCS^™) solution for AI helps bridge the gap between Data Scientists and IT, avoids infrastructure silos through unified management, and with its ecosystem partners delivers a consistent experience for AI workloads running on-prem or in the cloud. Cisco UCS offers a full range of servers with flexible NVIDIA GPU configurations to address the full lifecycle of AI workloads at scale, from model development, to training and inferencing.

TRAINING AND MODEL DEVELOPMENT

UCS C480ML M5

4U with 8 x V100 SXM2 NVLink, 3TB memory, 182TB storage
Ease of management with Cisco UCS Manager/Intersight
Cisco Validated with Flashstack AI, Flexpod AI CVDs

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ENTERPRISE AI DEPLOYMENT

UCS C240 M5

2U with up to 6 x T4
Ease of management with Cisco UCS Manager/Intersight
AI, ML, DL Training, Inference, VDI, IVA, Video Transcode GPU Workloads

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Dell EMC On-Premises AI Platforms

Dell Technologies is at the forefront of AI, providing the technology that makes tomorrow possible, today. Dell uniquely provides an extensive portfolio of technologies spanning from workstations, servers, networking, storage, software and consulting services to create the HPC and data analytics solutions that underpin successful AI, machine learning and deep learning solutions. Dell has also invested to create a portfolio of AI/ML Ready Solutions, simplifying the IT infrastructure to provide customers faster, deeper insights.

TRAINING AND MODEL DEVELOPMENT

PowerEdge C4140

1U with 4 x V100
4-way Fully Connected NVLink GPU configuration
Enterprise Systems Manage with iDRAC and Open Manage

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ENTERPRISE AI DEPLOYMENT

PowerEdge R740

2U with up to 6 x T4
Enterprise Systems Manage with IDRAC and Open Manage

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Hewlett Packard Enterprise On-Premises AI Platforms

From edge to hybrid cloud, HPE and NVIDIA have created a leading portfolio of optimized AI solutions that deliver deeper insights to solve the world’s greatest challenges. Our solutions are differentiated with proven AI expertise, the largest deep learning ecosystem, and AI software frameworks. Together, we equip industries and customers with the tools and resources they need to implement AI and deep learning, including learning opportunities through online and instructor-led workshops, reference architectures, and benchmark-winning GPU-accelerated applications that enhance time to value. Through joint development, testing, research, and validation, HPE and NVIDIA deliver the best solutions purpose- built for AI to the market today.

TRAINING AND MODEL DEVELOPMENT

Apollo 6500

Variety of GPU support up to 8 V100 PCIe/SXM2, T4, RTX6000/RTX8000 GPUs
Enterprise Systems Management with iLO and management software suite
Multi-CPU:GPU topologies: 4:1 or 8:1

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ENTERPRISE AI DEPLOYMENT

Proliant DL380

Variety of GPU support in 2U chassis
Max. 3x V100 or RTX6000/RTX8000, 5x RTX4000, 7x T4 support
Enterprise Systems Management with iLO and management software suite

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Lenovo On-Premises AI Platforms

Lenovo has developed an optimized AI training solution, combining Lenovo ThinkSystem SR670 with Lenovo Intelligent Computing Orchestration (LiCO) software to give clients confidence in deploying AI infrastructure without fear of stranding investment. The Lenovo AI Starter kit solution enables businesses to quickly start running AI workloads in the data center with ease of use and productivity benefits for Data Scientists, maximum infrastructure utilization for IT, and easily allows for growth as the number of users and workloads scale.

TRAINING AND MODEL DEVELOPMENT

ThinkSystem SR670

2U High-Performance system
with modular I/O flexibility to
optimize accelerated workloads
Available GPU configurations
- 4x NVIDIA A100 PCIe [AI, Data Analytics & HPC Applications]
4x NVIDIA V100 /V100S 32GB (AI training)
8x NVIDIA T4 (AI Inferencing, Visualization)
4 x RTX GPU’s

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ENTERPRISE AI DEPLOYMENT

ThinkSystem SR650

2U with up to 5 x T4
3 x V100 support
LiCO (Lenovo Intelligent Computing Orchestration)

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NVIDIA On-Premises AI Platforms

Developed to meet the demands of AI and analytics, NVIDIA^® DGX^™Systems are built on the revolutionary NVIDIA Volta^™ GPU platform. Combined with innovative GPU-optimized software and simplified management tools, these fully-integrated solutions deliver groundbreaking performance and results. NVIDIA DGX Systems are designed to give data scientists the most powerful tools for AI exploration—from your desk to the data center to the cloud. Experiment faster, train larger models and arrive at insights—all starting on day one.

TRAINING, INFERENCE, AND ANALYTICS

NVIDIA DGX A100

8x NVIDIA A100 Tensor Core GPUs
5 petaFLOPS performance
320 GB of GPU memory

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ENTERPRISE AI DEPLOYMENT

NVIDIA DGX-2

The first 2 petaFLOPS system that engages 16 fully interconnected GPUs for 10X the deep learning performance
Powered by NVIDIA^® DGX^™software and an architecture designed for AI-scale built on NVIDIA NVSwitch
6X NVIDIA Tesla V100 GPUs
2 petaFLOPs performance
81,920 NVIDIA CUDA Cores
512 GB of GPU memory

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On-Premises Deep Learning Solutions

Maximize Performance. Minimize Costs.

On-Premises Workloads at a Glance

Training

Inference

Power AI Workloads with NVIDIA GPUs

Access GPU-Optimized Software from Your Desktop

Explore Resources for the GPU-Accelerated Data Center

Cisco On-Premises AI Platforms

UCS C480ML M5

UCS C240 M5

Dell EMC On-Premises AI Platforms

PowerEdge C4140

PowerEdge R740

Hewlett Packard Enterprise On-Premises AI Platforms

Apollo 6500

Proliant DL380

Lenovo On-Premises AI Platforms

ThinkSystem SR670

ThinkSystem SR650

NVIDIA On-Premises AI Platforms

NVIDIA DGX A100

NVIDIA DGX-2

Get The Latest From NVIDIA On AI Computing