Cisco NVIDIA Tesla T4 Graphic Card - 16 GB

Unlock unmatched data analytics power and AI inference speed with the Cisco NVIDIA Tesla T4 Graphic Card. Built for data centers, enterprise AI deployments, and scientific computing workloads, this 16 GB PCIe accelerator combines NVIDIA’s Turing-era GPUs with Cisco’s enterprise-grade reliability. It’s designed to accelerate diverse workloads—from real-time analytics and machine learning inference to complex simulations—without compromising energy efficiency or space in dense server configurations. Whether you’re optimizing recommendation engines, accelerating database analytics, or running large-scale simulations, the Cisco NVIDIA Tesla T4 delivers scalable performance, low latency, and a robust software ecosystem that makes deployment straightforward and predictable. This GPU accelerator is engineered to work seamlessly in Cisco server and data-center environments, enabling higher utilization of GPUs, faster results, and a lower total cost of ownership for data-intensive tasks.

• High-performance AI and analytics acceleration: The NVIDIA Tesla T4 GPU is purpose-built for AI inference and scientific computing. It enables fast, low-latency processing of deep learning models, streaming analytics, and data-driven workloads. With TensorRT, CUDA, and cuDNN support, you can deploy AI models at scale, accelerate inference pipelines, and drive real-time insights across your enterprise systems.
• Generous memory for large models and datasets: Equipped with 16 GB of GDDR6 memory, the Tesla T4 provides ample room for sizeable neural networks and memory-intensive analytics. The substantial memory capacity helps reduce paging and improves throughput for multi-stream workloads, enabling smoother performance as datasets grow and models become more complex.
• Efficient PCIe-based deployment: The card uses a PCI Express interface for broad compatibility with modern servers and workstations. Its PCIe form factor supports straightforward installation into standard server PCIe slots, allowing you to upgrade existing Cisco or third-party systems without major changes to your infrastructure.
• Power efficiency for dense data centers: Designed with a low thermal design power (TDP) footprint, the Tesla T4 delivers compelling performance-per-watt. This makes it ideal for multi-GPU configurations in dense data-center racks where cooling and energy costs are ongoing considerations, while still delivering strong throughput for concurrent workloads.
• Comprehensive software and ecosystem support: With NVIDIA CUDA, TensorRT, cuDNN, and software SDKs, you gain access to a mature, production-grade AI stack. Cisco’s integration ensures enterprise-class drivers, optimized performance, and compatibility with common data-center orchestration and virtualization platforms, enabling rapid deployment and reliable operation.

Technical Details of Cisco NVIDIA Tesla T4 Graphic Card - 16 GB

• GPU Architecture: NVIDIA Tesla T4 with Turing-era GPU capabilities, optimized for AI inference, analytics, and HPC tasks.
• Memory: 16 GB GDDR6 high-speed memory for large models and datasets, with ample bandwidth to support streaming analytics and parallel workloads.
• Memory Bandwidth: High bandwidth to feed shared compute threads in real-time analytics and neural network workloads.
• Interface: PCI Express (PCIe) interface for broad compatibility with modern servers and PCIe-equipped workstations.
• Form Factor: PCIe plug-in graphics card suitable for standard server and workstation expansion slots, designed for data-center rack integration.
• Power and Thermal: Optimized for efficient operation with a suitable power envelope and cooling in a multi-GPU environment; designed to fit within Cisco and enterprise data-center cooling budgets.
• Software and APIs: CUDA, TensorRT, cuDNN, and NVIDIA software stack support, enabling optimized inference, training assistants, and accelerated analytics pipelines.
• Applications: AI inference at scale, analytics acceleration, scientific computing, HPC workloads, virtualization-ready workloads, and data-center acceleration scenarios.
• Compatibility: Tested and validated for use within Cisco data-center environments and compatible with common server operating systems and virtualization platforms.

How to install Cisco NVIDIA Tesla T4 Graphic Card

• Power down the server or workstation and unplug from the power source. Ground yourself to prevent static discharge and handle the card with care to avoid any physical damage to the PCIe connector.
• Open the chassis and identify an available PCIe x16 slot with adequate clearance for the graphics card’s length and cooling profile. Ensure the slot row aligns with the card’s connector and that there is room for proper airflow around the GPU.
• Remove the case slot bracket cover, align the Tesla T4 card with the PCIe slot, and firmly seat it into place. Press down evenly until the card is fully seated and the retention screw can be secured to anchor it to the chassis.
• If the card requires external power, connect the appropriate PCIe power connector from the power supply. If it operates from the PCIe slot alone, simply close the chassis and proceed to the next step. Confirm there is adequate cooling and that no cables obstruct airflow.
• Power up the system, install the latest NVIDIA drivers and CUDA toolkit compatible with the Tesla T4, and configure software. Verify the GPU is recognized by the operating system (for example, using nvidia-smi) and run a baseline inference or analytics workload to validate performance. Consider integrating with Cisco management tools for orchestration and monitoring in a production environment.

Frequently asked questions

• Q: What workloads is the Cisco NVIDIA Tesla T4 best suited for?
  A: It excels at AI inference, deep learning deployment, real-time analytics, and high-performance computing tasks. It’s especially valuable for data centers and enterprise environments where scalable AI acceleration and fast analytics pipelines are critical.
• Q: How much memory does the card provide for models?
  A: The card comes with 16 GB of GDDR6 memory, which supports larger models and datasets, reduces memory paging, and enables smoother multi-stream processing for concurrent workloads.
• Q: What software supports the Tesla T4?
  A: The Tesla T4 is compatible with NVIDIA CUDA, TensorRT, cuDNN, and related NVIDIA software ecosystems. This enables optimized inference, training assistance, and performance tuning across diverse AI and HPC workloads.
• Q: Is external power required?
  A: Depending on your system, the Tesla T4 may operate from the PCIe slot alone, but some configurations require an external PCIe power connector. Always verify the card’s power needs with your server specifications before installation.
• Q: Can I deploy this GPU in a Cisco data-center environment?
  A: Yes. The card is designed with Cisco data-center integrations in mind, offering enterprise-grade reliability, driver support, and compatibility with common Cisco server platforms and virtualization stacks for scalable AI and analytics.
• Q: What are the expected performance benefits?
  A: You can expect accelerated AI inference, faster analytics queries, and improved throughput for multi-stream workloads. The Tesla T4 enables efficient model serving, real-time decisioning, and faster scientific simulations in supported environments.