HPE NVIDIA A10 Graphic Card – 24 GB GDDR6

Deliver cutting-edge AI performance in your data center with the HPE NVIDIA A10 Graphic Card featuring 24 GB of GDDR6 memory. Engineered for seamless integration with HPE Cray systems, this PCIe-based accelerator is built to handle the demands of supervised and unsupervised training, large language models, and real-time inference across computer vision, generative AI, scientific research, and financial modeling. With robust tensor-core acceleration and a design tuned for scalable deployment, the A10 empowers organizations to develop, deploy, and iterate AI at scale—from research labs to production environments—without compromise on throughput, latency, or reliability.

Whether you are powering next-generation generative AI pipelines, accelerating vision-centric applications, or pushing the boundaries of HPC-driven analytics, the HPE NVIDIA A10 GPU delivers consistent, enterprise-grade performance. By combining NVIDIA’s accelerator technology with HPE Cray’s optimized system integration, this card provides a proven foundation for data-centric workloads, offering improved throughput for large batches, faster convergence times for complex models, and the capacity to run more concurrent inference tasks with lower latency. In short, it’s a purpose-built solution for organizations pursuing accelerated AI at scale while maintaining operational efficiency and control in demanding data-center environments.

• High-capacity memory for large models: The 24 GB GDDR6 memory pool gives you room to load expansive model parameters, sizable datasets, and multi-stream workloads without frequent memory swapping, enabling faster epoch times and smoother inference for complex AI tasks.
• Real-time inference for computer vision: Optimized for low-latency, high-throughput inference, the A10 accelerates object detection, tracking, segmentation, and video analytics, enabling responsive deployments in security, manufacturing, retail analytics, and autonomous systems.
• Accelerated AI training and inference pipelines: The A10 integrates NVIDIA tensor cores and parallel compute to speed up both supervised and unsupervised training across generative AI, vision transformers, LLMs, and scientific workloads, helping teams iterate more quickly from concept to production.
• Seamless HPC and data-center integration: Engineered to work within HPE Cray systems and data-center architectures, delivering scalable performance that scales with your workloads—from single GPU nodes to dense multi-GPU configurations for large-scale simulations and analytics.
• Energy-conscious design for dense deployments: Built to optimize power efficiency and thermal management in busy data centers, supporting higher utilization rates, reduced thermal throttling, and lower total cost of ownership over the GPU’s lifecycle.

Technical Details of HPE NVIDIA A10 Graphic Card - 24 GB GDDR6

• GPU: NVIDIA A10 Tensor Core GPU — designed to deliver AI-optimized performance for training and inference across diverse workloads.
• Memory: 24 GB GDDR6, providing a generous buffer for large models, batch processing, and data-intensive inference tasks.
• Interface: PCIe 4.0 x16 compatible, enabling strong bandwidth and compatibility with modern server platforms.
• Form Factor: Data-center grade add-in graphics card designed for server chassis and HPE Cray configurations, with appropriate power and thermal solutions for enterprise deployments.
• Target workloads: AI training and inference, generative AI, computer vision, large language model acceleration, and HPC workloads within HPE Cray ecosystems.

How to install HPE NVIDIA A10 Graphic Card

• Power down the server, unplug all power sources, and remove the chassis cover to access the PCIe slots.
• Ground yourself to prevent static discharge, then locate a suitable PCIe 4.0 x16 slot and ensure there is adequate clearance for the card’s length and cooling requirements.
• Insert the HPE NVIDIA A10 into the PCIe slot, applying even pressure until it seats securely and the retention latch locks in place.
• Attach any necessary power connectors according to your server’s design and the card’s power configuration, ensuring cables are neatly routed to avoid airflow obstruction.
• Secure the card with the chassis screw, reattach the cover, reconnect power, and boot the system. Install or update NVIDIA drivers and HPE Cray management software to enable full acceleration, monitoring, and optimization features.

Frequently asked questions

• Q: What workloads is the HPE NVIDIA A10 Graphic Card best suited for?

  A: It is optimized for AI acceleration across training and inference, including generative AI, computer vision, large language models, and high-performance computing workloads within HPE Cray systems.

• Q: How much memory does the card provide?

  A: The card comes with 24 GB of GDDR6 memory, which supports large models, expansive datasets, and concurrent AI streams without excessive memory swapping.

• Q: Is the A10 compatible with standard servers or only with HPE Cray configurations?

  A: The A10 is designed for HPE Cray environments and PCIe-enabled servers; check your platform’s PCIe availability and thermal design to ensure full compatibility and optimal performance.

• Q: Can I expect real-time AI inference performance?

  A: Yes. The A10 is engineered to provide low-latency, high-throughput inference suitable for real-time computer vision tasks and other time-sensitive AI workloads.

• Q: What software is required to run the GPU effectively?

  A: NVIDIA drivers are essential, along with HPE Cray acceleration software and management tools to maximize performance, reliability, and observability in production environments.