Le applicazioni moderne stanno trasformando tutti i settori, dall'analisi dei dati per migliorare le previsioni aziendali, all'IA per i veicoli autonomi, fino alla visualizzazione avanzata per la diagnosi medica. Le piattaforme NVIDIA Accelerated Computing forniscono l'infrastruttura più efficiente dal punto di vista energetico per alimentare queste applicazioni, indipendentemente da dove vengano eseguite.
Cos’è il computing accelerato?
Anatomia di un sistema accelerato
Un sistema accelerato è la prossima fase dell'evoluzione dei computer. Proprio come tutti gli smartphone oggi hanno processori per grafica e IA, così anche ogni server e workstation avrà acceleratori di calcolo per alimentare le applicazioni moderne di oggi, tra cui IA, visualizzazione e macchine autonome. Molti di questi sistemi avranno inoltre unità di elaborazione dati, che accelerano i servizi di rete, storage e sicurezza, centrali nei framework cloud-native e di cloud computing.
Piattaforme NVIDIA di computing accelerato NVIDIA
Con l'aumentare della diffusione del computing accelerato, vi è una crescente necessità di sistemi accelerati ottimizzati per un utilizzo particolare. NVIDIA ha definito una gamma di piattaforme accelerate che consistono in sistemi hardware progettati a seconda delle esigenze del singolo caso d'uso e dello stack software che permette il funzionamento e la gestione delle applicazioni aziendali. Questi sistemi hardware e software sono rese disponibili da NVIDIA e dai nostri partner.
Seleziona una piattaforma di seguito per visualizzare i dettagli della soluzione.
NVIDIA EGX
Server accelerati mainstream e multi-scopo per data center ed edge
NVIDIA HGX
Potenziare i partner per creare supercomputer IA
NVIDIA DGX
Il supercomputer leader mondiale per l'IA
NVIDIA OVX
Supercomputer per Omniverse Industrial Digital Twin
NVIDIA AGX
Macchine autonome basate su IA
NVIDIA IGX
Sicurezza funzionale e protezione avanzate per l'IA nell’edge
Accelera la tua azienda con gli NVIDIA-Certified System
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.
Gli NVIDIA-Certified System sono disponibili presso partner selezionati. Esplora le opzioni flessibili e convenienti per accedere alle più recenti tecnologie NVIDIA per i data center nel nostro catalogo di server qualificati.
Attingi a una vasta gamma di applicazioni accelerate, dall'IA all'analisi dei dati, all'HPC e alla visualizzazione. Il catalogo NVIDIA NGC™ è un hub per container ottimizzati per GPU, modelli IA pre-addestrati, SDK e grafici Helm, progettati per semplificare e accelerare i flussi di lavoro dallo sviluppo alla distribuzione, consentendo alle aziende di fornire prodotti e servizi sorprendenti. Il software del catalogo NGC può essere distribuito su qualsiasi sistema in sede, nel cloud e sull'edge basato su GPU.
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.