Converged Accelerators | Networking and Compute, Unified
In one unique, efficient architecture, NVIDIA converged accelerators combine the powerful performance of NVIDIA GPUs with the enhanced network and security of NVIDIA smart network interface cards (SmartNICs) and data processing units (DPUs). Deliver maximum performance and enhanced security for I/O intensive GPU accelerated workloads, from the data center to the edge.
The A30X combines the NVIDIA A30 Tensor Core GPU with the BlueField-2 DPU. The design of this card provides a good balance of compute and input/output (IO) performance use cases such as 5G vRAN and AI-based cybersecurity. Multiple services can run on the A30X GPU, with the low latency and predictable performance provided by the onboard PCIe switch.
High-Performance 5G
NVIDIA converged accelerators like the A30X provide a high-performance platform for running 5G workloads. Because data doesn't need to go through the host PCIe system, processing latency is greatly reduced. The resulting higher throughput also allows for a greater subscriber density per server. NVIDIA A30X teams with the NVIDIA Aerial SDK, an application framework for building high-performance, software-defined, cloud-native 5G networks to address increasing user demand. It enables GPU-accelerated signal and data processing for 5G virtual radio access networks (vRANs). Aerial is 100% software defined and delivers a highly-programmable PHY layer and has the capability to support L2+ functions seamlessly. The A30X's GPU-accelerated processing lets complex computations run faster than existing L1 processing solutions, giving improved performance results. Together, NVIDIA A30X and the Aerial SDK offer commercial-off-the-shelf (COTS) hardware support, making it easier to deploy cloud-native platforms such as NVIDIA EGX. It's Kubernetes based and provides container orchestration for ease of deployment and management. Available as a .zip package or NVIDIA NGC container image the A30X and Aerial duo is a compelling platform on which to build and deploy GPU-accelerated 5G vRANs. Join the Aerial early access program today.
AI-Based Cybersecurity
Converged accelerators like the A30X open up a new range of possibilities for AI-based cybersecurity and networking. The BlueField-2 DPU's Arm cores can be programmed using the NVIDIA Morpheus application framework to implement GPU accelerated advanced network functions such as threat detection, data leak prevention, and anomalous behavior profiling, GPU processing can be applied directly to network traffic at a high data rate, and data travels on a direct path between the GPU and GPU, providing better isolation. The NVIDIA A30X is a performant engine for NVIDIA Morpheus, an open applications framework that enables cybersecurity developers to create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. Bringing a new level of information security to the data center, cloud, and edge, Morpheus uses AI to identify, capture, and act on threats and anomalies that were previously impossible to identify. NVIDIA Morpheus can be downloaded here.
Transistors | 54.2 Billion |
Peak FP64 | 5.2 TFLOPS |
Peak FP64 Tensor Core | 10.3 TFLOPS | Sparsity |
Peak FP32 | 10.3 TFLOPS |
Peak FP16 Tensor Core | 165 TFLOPS | Sparsity |
Peak INT8 Tensor Core | 330 TOPS | Sparsity |
GPU Memory | 24 GB HBM2e |
Memory Bandwidth | 1223 GB/s |
NVLink | Third-Generation | 200 GB/s Bidirectional |
Multi-Instance GPU Support | 4 MIGs at 6 GB Each 2 MIGs at 12 GB Each 1 MIG at 24 GB |
Unprecedented GPU Performance NVIDIA Tensor Core GPUs deliver unprecedented performance and scalability for AI, High-performance computing (HPC), data analytics, and other compute-intensive workloads. With Multi-Instance GPU (MIG), each A30X GPU can be partitioned into up to four GPU instances – fully isolated and secured at the hardware level. Systems can be configured to offer right-sized GPU acceleration for optimal utilization and sharing across applications big and small in both bare-metal and virtualized environments. |
Enhanced Networking and SecurityNVIDIA's ConnectX family of smart network interface cards (SmartNICs) offer best-in-class network performance, advanced hardware offloads, and accelerations. NVIDIA BlueField DPUs combine the performance of ConnectX with full infrastructure-on-chip programmability. By offloading, accelerating, and isolating networking, storage, and security services, Bluefield DPUs provide a secure, accelerated infrastructure for any workload in any environment. |
A New Level of Data EfficiencyNVIDIA Converged accelerators include an integrated PCIe switch, allowing data to travel between the GPU and network without flowing across the server PCIe system. This enables outstanding data center performance, efficiency and security for IO-intensive, GPU-accelerated workloads. |
Architecture | NVIDIA Ampere |
---|---|
GPU rozwiązania i zastosowanie | NVIDIA Virtual PC (vPC), NVIDIA Virtual Compute Server (vCS), NVIDIA NVLink, NVIDIA virtual GPU, Visualization and AI, NVIDIA AI Enterprise for VMWare |
wsparcie VR | tak |
chłodzenie grafiki | pasywne serwerowe |
rodzaj pamięci | HBM2e |
pamieć karty | 24GB |
Mocowanie i profil kart | PCIe FHHL/ HHHL |
Gwarancja | 3 lata |
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