Modern applications are transforming every business, from data analytics for better business forecasting, to AI for autonomous vehicles, to advanced visualization for medical diagnosis. NVIDIA Accelerated Computing platforms provide the most energy-efficient infrastructure to power these applications, no matter where they are run.
What Is Accelerated Computing?
Anatomy of an Accelerated System
An accelerated system is the next phase in the evolution of computers. Just like how all smartphones today have processors for graphics and AI, so too will every server and workstation have compute accelerators to power today’s modern applications, including AI, visualization, and autonomous machines. Many of these systems will also have data processing units, which accelerate the network, storage and security services that are central to cloud native and cloud computing frameworks.
NVIDIA Accelerated Computing Platforms
As accelerated computing becomes more widespread, there is a growing need for accelerated systems that are optimized for particular use. NVIDIA has defined a range of accelerated platforms that each consist of hardware systems designed according to the needs of the use case as well as the software stack that enables the operation and management of the business applications. These hardware systems and software are available from NVIDIA and our partners.
Select a platform below to view solution details.
NVIDIA EGX
Mainstream, Multi-purpose Accelerated Servers for Data Center and Edge
NVIDIA HGX
Empowering Partners to Build AI Supercomputers
NVIDIA DGX
World’s Leading Supercomputer for AI
NVIDIA OVX
Supercomputer for Omniverse Industrial Digital Twins
NVIDIA AGX
AI-Powered Autonomous Machines
NVIDIA IGX
Advanced Functional Safety and Security for Edge AI
Accelerate Your Enterprise with NVIDIA-Certified Systems
Existing compute architectures can’t support business service-level agreements (SLAs).
Complex Workflows
New apps introduce management, scalability, security, visibility, and networking challenges.
New Apps, New Silos
Data and workflow silos increase operational overhead and aren’t compliant with IT standards.
Why Accelerated Computing for Enterprise IT
Current CPU-based data centers end up running workloads in silos when they want to add data-intensive applications to existing ones. This introduces bottlenecks and lowers performance. By evolving enterprise IT infrastructure into a unified architecture, all applications, modern and traditional, can run optimally on a shared pool of resources.
The Unified, Accelerated Data Center
NVIDIA-Certified Systems™ powered by the NVIDIA EGX platform make the unified, accelerated data center possible. With the triple power of GPU, CPU, and DPU on the same architecture, these servers eliminate silos and bring optimized performance, manageability, and security to all workloads—so enterprises can prepare for the future while driving down IT costs.
Enterprise-Ready Software for AI
The NVIDIA EGX™ platform includes optimized software that delivers accelerated computing across the infrastructure. With NVIDIA AI Enterprise, businesses can access an end-to-end, cloud-native suite of AI and data analytics software that’s optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems. NVIDIA AI Enterprise includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
Whether deploying workloads with Red Hat, VMware, or other leading infrastructure partners, enterprises need IT infrastructure that’s compatible with every vendor and major DevOps tool. The NVIDIA EGX platform enables both existing and modern applications to be accelerated and secure on the same infrastructure—from data center to edge.
Select a workload below to view solution details
Data Center AI
Edge AI
Data Analytics
Professional Visualization
NVIDIA Omniverse - Collaboration
Learn More About Accelerated Workloads(12 sessions)
One architecture. Every enterprise workload. Discover the platform that's unifying the data center and bringing accelerated computing to every enterprise.
NVIDIA-Certified Systems are available through select partners. Explore flexible, affordable options for accessing the latest NVIDIA data center technologies through our Qualified Server Catalog.
Tap into a diverse set of accelerated applications, from AI to data analytics to HPC and visualization. The NVIDIA NGC™ catalog is a hub for GPU-optimized containers, AI pre-trained models, SDKs, and Helm charts, built to simplify and accelerate development-to-deployment workflows—empowering enterprises to deliver amazing products and services. The software from the NGC catalog can be deployed on any GPU-powered on-prem, cloud, and edge system.
Run AI in the Data Center Alongside Traditional Applications
From accelerating health diagnoses to enabling more accurate predictive maintenance, AI is transforming every industry. The NVIDIA EGX platform enables enterprises to embrace this change, delivering a complete AI solution on high-performance, cost-effective infrastructure. Based on NVIDIA-Certified Systems—enterprise-class servers with high-performance GPUs and high-speed, secure NVIDIA® networking—NVIDIA EGX lets customers prepare for the future while driving down costs by standardizing on a unified architecture for easy management, deployment, operation, and monitoring.
Modern enterprises tap into data generated from billions of IoT sensors found in retail stores, on city streets, in hospitals, and everywhere else data is collected. Edge computing brings compute capabilities out of the cloud and to the edge of networks, reducing the distance between where data is captured and where it’s processed, allowing organizations to act quickly on real-time insights. With NVIDIA EGX, enterprises can deliver the power of accelerated computing to the edge to make this possible
Data science is complex and time consuming. From extract, transform, and load (ETL) operations to inferencing, data science pipelines rely on large-scale infrastructure to power critical business operations. These operations are bottlenecked by the serial nature of CPU-only computing, which is compounded when scaling out for large processes. With the NVIDIA EGX platform, enterprises can easily leverage parallel GPU computing to remove bottlenecks and quickly improve performance, time to insight, and the return on investment.
Creative and technical professionals face increasingly complex problems as they produce more data and create higher-quality content faster than ever before. These challenges grow as globally distributed teams continue to work remotely. With the NVIDIA EGX platform for professional visualization and remote collaboration, designers and engineers can tackle the most graphics-intensive workloads from anywhere. The solution combines high-end NVIDIA GPUs, NVIDIA virtual GPU (vGPU) software, and the NVIDIA Omniverse™ collaboration platform to enable powerful visual computing capabilities—from rendering and engineering simulation to interactive graphics on virtual workstations—and remote collaboration.
Globally distributed teams and remote collaboration are causing new pressures for Enterprise IT teams. Workforces demand efficient, secure, and constant on-and off-boarding of team members, causing a trade-off between maintaining productivity versus team flexibility. The demand for photorealistic simulation and increasing number of edits requires higher compute power – accessible from anywhere. The EGX platform with NVIDIA Omniverse Enterprise allows organizations to achieve cost-effective, scalable remote collaboration with true real-time performance for teams working across geographies and systems.