30 Questions
Which GPU is optimized for compute workloads and is ideal for price-sensitive customers seeking an alternative to the A100 GPU?
A30 GPU
What feature of the A40 GPU distinguishes it from other GPUs mentioned in the text?
Highest performance for graphics and rendering
Which GPU is designed specifically for Virtual Desktop VDI implementations?
A16 GPU
In terms of GPU memory across the NVIDIA DGX A100 System, how much memory is available across eight NVIDIA A100 GPUs?
640 gigabytes
Which NVIDIA system contains 3.2 times more CPU cores than the DGX1?
DGX A100 System
What new feature does the A100 GPU introduce in terms of GPU partitions, as highlighted in the text?
Multi-Instance GPU
What technology did NVIDIA introduce to connect multiple GPUs at significantly faster speeds than PCIe?
NVLink
Which technology allows direct communication between any GPU pair without bottlenecks?
NVSwitch
What is the purpose of NVSwitch technology in the context of AI and HPC workloads?
Facilitating all-to-all GPU communication
How many NVSwitch fabrics are contained in the DGX A100 System?
Six
Which technology helps eliminate bottlenecks and enable all GPUs in the system to behave as one in the DGX A100 System?
NVLink High-Speed Interconnect
What does NVSwitch technology unleash in the DGX A100 System?
Five petaflops of AI performance
What is a key benefit of using Cloud Compute instances in the initial stage of a project according to the text?
Low cost start and resource elasticity
Which type of systems are NVIDIA DGXA100 systems according to the text?
Purpose-built with optimized components
What type of support do customers leveraging DGX solutions have access to according to the text?
NVIDIA expertise for deployment and maintenance guidance
Why do organizations partner with NVIDIA according to the text?
To have access to reputable and qualified vendors
What is a characteristic of data sets in the initial stage of a project as per the text?
Modest and less complex
How are OEM systems differentiated from DGXA100 systems?
Built with off-the-shelf components
What does BlueField DPUs provide in terms of infrastructure?
Secure and accelerated infrastructure
What feature enables high-performance storage access for remote storage in BlueField DPUs?
NVMe over Fabrics (NVMeoF)
What is a key aspect of the zero-trust security everywhere architecture enabled by BlueField DPUs?
Extending security beyond the datacenter perimeter
What are IT admins primarily concerned about when maintaining systems with accelerated computing solutions?
Manageability and security of systems
What makes it challenging to deploy accelerated computing solutions, especially at scale?
Difficulties in selecting the right hardware solution
Which technology supported by BlueField DPUs enables direct storage access for GPUs?
GPU direct storage
What feature of NVIDIA Certified Systems is highlighted as one of the biggest reasons to choose them?
Broadest set of applications support
Which technology enables a single GPU to be split into multiple independent GPU instances for flexible utilization within a host?
Multi instance GPUs
What does the NGC catalog provide for accelerated computing solutions?
Pre-trained models and industry application frameworks
How does network encryption offload contribute to data security in NVIDIA products?
By providing host-level security
In what way does the certification program for NVIDIA Certified Systems validate each system?
By matching the system to workload sizing and features
What is one key advantage of accelerated data transfer between GPUs and servers?
Unlocks efficient multinode processing
Study Notes
Nvidia EGX Platforms
- Deliver highest HPC performance, AI training and inference performance, memory bandwidth, and physical partitions (MIG)
- Integrated across the entire AI workflow for greater productivity and faster time to solution
A-Series GPUs
- A100: Highest HPC performance, highest AI training and inference performance, highest memory bandwidth, and largest number of physical partitions (MIG)
- A30: Smaller version of A100, optimized for compute workloads, ideal for price-sensitive customers
- A40: Highest performance for graphics and rendering, good compute performance
- A16: Designed specifically for Virtual Desktop VDI implementations
NVIDIA DGX A100 System
- Universal system for all AI workloads
- 640 GB GPU memory across 8 A100 GPUs
- 2 TB system memory
- 3.2 times more CPU cores than DGX1
- Nvidia NVSwitch technology enables direct communication between GPUs without bottlenecks
Nvidia NVSwitch Technology
- Enables direct communication between any GPU pair without bottlenecks
- Provides maximum bandwidth for communication across GPUs
- Each A100 GPU uses NVLink interconnects to communicate with 6 NVSwitch fabrics
- Eliminates bottlenecks and intermediary GPU hops
NVIDIA Offerings for Accelerated Computing
- DGX A100 systems: purpose-built with optimized components
- OEM systems: partners with vendors to provide flexibility in adopting solutions
- Cloud service providers: access to computing infrastructure and resources without management and maintenance
BlueField DPUs
- Provide secure and accelerated infrastructure for advanced networking, storage, and security services
- Support NVMe over Fabrics, GPU direct storage, data integrity, and decompression
- Enable zero-trust security architecture beyond the datacenter perimeter to the edge of every server
Test your knowledge on NVIDIA's accelerated computing offerings, including NVIDIA DGXA100 systems and OEM systems. Learn about the purpose-built components and expertise available to customers leveraging these solutions.
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