HPE NVIDIA L40 Graphic Card - 48 GB GDDR6 - Full-height

Unlock scalable AI across enterprises with the HPE NVIDIA L40 Graphic Card. Engineered for data centers and high-density deployments, this full-height accelerator combines a massive 48 GB GDDR6 memory pool with NVIDIA’s latest L40 architecture to deliver exceptional training throughput and real-time inference. Whether you’re developing new AI models with supervised or unsupervised training for generative AI, computer vision, large language models, scientific discovery, or financial market modeling, the L40 card integrates seamlessly with HPE Cray systems to accelerate your entire AI lifecycle—from data preparation and model development to production deployment. Designed for reliability, performance, and ease of management, it’s a robust solution for organizations pursuing AI at scale.

Designed to handle demanding AI workloads, the L40 accelerates both training and inference with a focus on efficiency and throughput. The 48 GB GDDR6 memory pool enables large-context models, extensive batch processing, and concurrent workflows without compromising speed. Paired with NVIDIA accelerators and HPE Cray infrastructure, it delivers consistent, enterprise-grade performance across multi-GPU deployments, allowing teams to push the boundaries of what’s possible in AI research and production. The card is built to slot into data-center infrastructure with a rack-ready form factor, optimized for integration with HPE servers and Cray systems, and backed by enterprise support that your organization relies on for critical workloads.

From research labs to mission-critical production environments, the HPE NVIDIA L40 Graphic Card is engineered to empower teams to iterate faster and deploy more capable AI systems. It supports a broad ecosystem of frameworks, libraries, and tools—CUDA, TensorRT, cuDNN, and popular ML frameworks—so data scientists can translate experiments into scalable, reliable products. The L40’s architecture is designed to deliver low-latency inference for real-time computer vision applications, high-throughput training for complex models, and efficient multi-GPU scaling for large datasets. With HPE Cray system integration, administrators gain centralized management, streamlined software updates, and robust reliability features that are essential for 24/7 AI operations in financial services, healthcare, manufacturing, and government sectors. The card’s full-height design ensures compatibility with a wide range of enterprise servers and racks, enabling dense configurations that maximize compute density without sacrificing cooling or energy efficiency.

Investing in the HPE NVIDIA L40 Graphic Card means committing to a future-ready platform for AI innovation. It represents a balance of extreme memory capacity, advanced NVIDIA accelerators, and a chassis-friendly form factor that works within the HPE ecosystem. This combination reduces time-to-value for pilots and production workloads, accelerates experimentation with larger models, and supports higher accuracy and richer results across predictive analytics, defensive AI, and decision-support systems. For organizations pursuing scalable AI maturity, the L40 provides the reliability, performance, and compatibility needed to advance from proof-of-concept to widespread, practical deployment while maintaining strict enterprise standards for uptime and security.

Key benefits include improved time-to-insight for data-heavy workloads, enhanced model fidelity thanks to greater memory headroom, and the ability to run multiple AI pipelines concurrently without contention. The L40 is designed to be future-proof with NVIDIA’s software stack and extensive ecosystem support, ensuring ongoing access to optimization libraries, driver updates, and accelerated kernels that keep pace with evolving AI workloads. When deployed alongside HPE Cray systems, it helps organizations scale AI initiatives from a handful of pilots to full-scale enterprise deployments, delivering consistent performance, predictable reliability, and streamlined operations across complex, mixed workloads.

• High-capacity 48 GB GDDR6 memory enables large models, long context windows, and memory-intensive training or inference without frequent paging.
• AI acceleration with NVIDIA L40 architecture provides optimized tensor cores and accelerators for training and real-time inference across generative AI, computer vision, and large language models.
• Data-center ready, full-height form factor is designed for rack mounting in HPE servers and Cray systems with enterprise-grade reliability and cooling.
• Seamless software ecosystem supports CUDA, TensorRT, cuDNN, and major ML frameworks, enabling fast iteration from research to production.
• Scalable performance supports multi-GPU configurations and integration with HPE Cray infrastructure for large-scale AI deployments.

Technical Details of HPE NVIDIA L40 Graphic Card - 48 GB GDDR6 - Full-height

• Memory: 48 GB GDDR6
• Memory bandwidth: High bandwidth designed for AI workloads (exact figures vary by SKU)
• GPU architecture: NVIDIA L40 accelerator (data-center-grade)
• Form factor: Full-height PCIe graphics card
• Interface: PCIe compliant (typical PCIe Gen4 x16 in data-center servers)
• Power requirements: Requires appropriate server power and robust cooling; verify system specs before installation
• Compatibility: Optimized for HPE Cray systems and enterprise server environments

how to install HPE NVIDIA L40 Graphic Card

1. Power down the host system, unplug the power cord, and discharge any static energy from yourself and the chassis.
2. Open the chassis and locate an available PCIe x16 slot. Remove the slot cover if required.
3. Align the L40 card with the slot and firmly seat it until it clicks into place. Secure the card bracket with a screw.
4. Connect any required power cables per the server’s documentation and ensure proper cable routing for optimum airflow.
5. Power on the system, install or update the NVIDIA drivers and CUDA toolkit compatible with your OS and workflow. Reboot if prompted.
6. Verify the installation by checking the device in your operating system’s device manager or GPU monitoring tools, and run a basic stability test before moving to production workloads.

Frequently asked questions

• Q: What workloads is the HPE NVIDIA L40 Graphic Card best suited for?
  A: It is designed for AI training and inference, generative AI, computer vision, large language models, scientific modeling, and financial analytics in data-center environments, particularly when deployed with HPE Cray systems.
• Q: Which systems are compatible?
  A: The card is designed for HPE data-center servers and Cray configurations, featuring a full-height form factor suitable for rack deployment and dense compute layouts.
• Q: What software is required?
  A: A CUDA-enabled software stack (CUDA, cuDNN, TensorRT) along with NVIDIA drivers and any HPE-provided management tools to support enterprise deployments.
• Q: Can I scale beyond a single card?
  A: Yes. The L40 is designed for multi-GPU configurations within servers or clustered environments, enabling parallel training and large-scale inference.
• Q: What makes this GPU different from consumer GPUs?
  A: It’s a data-center-grade accelerator with enterprise reliability, long-term support, large memory capacity, and tight integration with HPE Cray systems and enterprise software stacks.