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AI Training
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Inference & Training
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Large Scale AI Training
Large Scale AI Training
Large Language Models, Generative AI Training, Autonomous Driving, Robotics
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HPC/AI
HPC/AI
Engineering Simulation, Scientific Research, Genomic Sequencing, Drug Discovery
Accelerating time to discovery for scientists, researchers and engineers, more and more HPC workloads are augmenting machine learning algorithms and GPU-accelerated parallel computing to achieve faster results. Many of the world’s fastest supercomputing clusters are now taking advantage of GPUs and the power of AI.
HPC workloads typically require data-intensive simulations and analytics with massive datasets and precision requirements. GPUs such as NVIDIA’s H100 provide unprecedented double-precision performance, delivering 60 teraflops per GPU, and Supermicro’s highly flexible HPC platforms allow high GPU counts and CPU counts in a variety of dense form factors with rack scale integration and liquid cooling.
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Enterprise AI Inference & Training
Enterprise AI Inference & Training
Generative AI Inference, AI-enabled Services/Applications, Chatbots, Recommender System, Business Automation
The rise of generative AI has been recognized as the next frontier for various industries, from tech to banking and media. The race to adopt AI has begun as a source to breed innovation, significantly boost productivity, streamline operations, make data-driven decisions, and improve customer experience.
Whether it is AI-assisted applications and business models, intelligent human-like chatbots for customer service, or AI to co-pilot code generation and content creation, enterprises can leverage open frameworks, libraries, pre-trained AI models, and fine-tune them for unique use cases with their own dataset. As the enterprise adopts AI infrastructure, Supermicro’s variety of GPU-optimized systems provide open modular architecture, vendor flexibility, and easy deployment and upgrade paths for rapidly-evolving technologies.
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Visualization & Design
Visualization & Design
Real-Time Collaboration, 3D Design, Game Development
Increased fidelity of 3D graphics and AI-enabled applications by modern GPUs is accelerating industrial digitization, transforming product development and design processes, manufacturing, and content creation with true-to-reality 3D simulations to achieve new heights of quality, infinite iterations at no opportunity costs, and faster time-to-market.
Build virtual production infrastructure at scale to accelerate industrial digitalization through Supermicro’s fully-integrated solutions, including the 4U/5U 8-10 GPU systems, an NVIDIA OVX™ reference architecture, optimized for NVIDIA Omniverse Enterprise with Universal Scene Description (USD) connectors, and NVIDIA-certified rackmount servers and multi-GPU workstations.
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Content Delivery & Virtualization
Content Delivery & Virtualization
Content Delivery Networks (CDNs), Transcoding, Compression, Cloud Gaming/Streaming
Video delivery workloads continue to make up a significant portion of current Internet traffic today. As streaming service providers increasingly offer content in 4K and even 8K, or cloud gaming in a higher refresh rate, GPU acceleration with media engines is a must to enable multi-fold throughput performance for streaming pipelines while reducing the amount of data required with better visual fidelity, thanks to the latest technologies such as AV1 encoding and decoding.
Supermicro’s multi-node and multi-GPU systems, such as the 2U 4-Node BigTwin® system meet the stringent requirements of modern video delivery, each node supporting the NVIDIA L4 GPU with the ability to feature plenty of PCIe Gen5 storage and networking speed to drive the demanding data pipeline for content delivery networks.
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AI Edge
AI Edge
Edge Video Transcoding, Edge Inference, Edge Training
Increased fidelity of 3D graphics and AI-enabled applications by modern GPUs is accelerating industrial digitization, transforming product development and design processes, manufacturing, and content creation with true-to-reality 3D simulations to achieve new heights of quality, infinite iterations at no opportunity costs, and faster time-to-market.
Build virtual production infrastructure at scale to accelerate industrial digitalization through Supermicro’s fully-integrated solutions, including the 4U/5U 8-10 GPU systems, an NVIDIA OVX™ reference architecture, optimized for NVIDIA Omniverse Enterprise with Universal Scene Description (USD) connectors, and NVIDIA-certified rackmount servers and multi-GPU workstations.
![](https://www.sysgen.de/media/image/fd/2b/cb/screenshot-www-supermicro-com-2023-12-07-10_50_09_640x640.png)
Large-Scale NVIDIA H100 AI Training Solution with Liquid Cooling
Embrace an Order-of-Magnitude Leap In Performance With Supermicro Rack Scale AI Solutions
- Supreme AI Cluster for Exascale Computing
- Scalable Design achieving unprecedented peak performance
- Most Advanced Processors & Networking
- Flexible and Superior Cooling Options
- Representative Performance Benchmarks
- Supermicro Advantages with Scale AI Solutions Plug and Play
- End-to-end rack integration with complete L11/L12 testing
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Develop and Execute Advanced AI and HPC Applications In Your Office
Develop and Execute Advanced AI and HPC Applications In Your Office
Advanced System Reduces Power Consumption and Noise Levels While Delivering Massive AI and HPC Compute Performance
- AI and HPC Use Cases
- AI Development and Execution Locations
- NVIDIA AI Enterprise Development Platform
- AI Development System Hardware/Software Components
- Liquid Cooled AI Development System
- Supermicro AI Product Line
Create an Efficient and Scalable On-Prem AI Cloud Using NVIDIA AI Enterprise and Red Hat OpenShift
Create an Efficient and Scalable On-Prem AI Cloud Using NVIDIA AI Enterprise and Red Hat OpenShift
Supermicro NVIDIA-Certified Systems, with AMD EPYC Processors
- Red Hat OpenShift
- NVIDIA AI Enterprise Software Suite
- AI Software Stack, Enterprise Support Services
- Management & Security
- Supermicro Reference Architecture
- Example Applications
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