# NVIDIA A10 GPU ### Seller Warranty 90 Day Resell / 1 Year User ### Express Delivery Worldwide Shipping ### Sales & Support Mon-Fri / 8am – 5 pm PST ### What happens next? [Request a Quote](/content/request-a-quote/index.html) What happens after requesting a quote: - A knowledgeable, US-based, Network Hardware Specialist, with 15+ years experience, will review your request. - Based on the exact SKU, we will verify airflow and other details to calculate a quote. - A BrightStar Systems' specialist will personally reach out within 24 hours. ## Guaranteed **safe & secure** checkout​ ## Payment Methods ## Free ground shipping to all 50 states ## DESCRIPTION ### NVIDIA A10 GPU: Power, Efficiency, and Flexibility for Modern Workloads The NVIDIA A10 GPU delivers exceptional performance for graphics and compute-heavy tasks. With its Ampere architecture, it excels in virtual desktop infrastructure (VDI) and AI applications while maintaining a compact single-slot design. Combined with NVIDIA’s vGPU software, the A10 scales to meet diverse data center needs, all while being secure and efficient. ## Speed and Power at Your Fingertips With 31.2 teraFLOPS of FP32 and up to 500 TOPS for INT8 Tensor Core operations, the A10 offers serious computational power. Its 24GB GDDR6 memory and 600GB/s bandwidth ensure rapid data handling, making it ideal for demanding tasks. Supporting PCIe Gen4, this 150W single-slot GPU delivers speed without sacrificing power efficiency. ## Visualization Made Easy The NVIDIA A10 is optimized for professional visualization. With EGX platform certification, it meets the demands of complex design workflows. Collaboration is enhanced with NVIDIA Omniverse™, enabling teams to work together in virtual environments for rendering, simulation, or real-time collaboration. ## AI, Virtualization, and Inference—Handled In AI-driven workloads, the A10 outperforms the competition. Compared to the NVIDIA T4, it offers up to 2.5X faster inference performance. With third-gen Tensor Cores and second-gen RT Cores, the A10 accelerates tasks like DLSS, ray tracing, and photorealistic rendering, efficiently handling AI audio/video processing or virtual workstations. ## Transformative Applications: Where A10 Shines The A10’s versatility shines in various industries. In architecture, it renders detailed 3D models for effective visualization. In media and entertainment, it enables real-time rendering and complex visual effects. In finance, the A10 enhances data analysis and algorithmic trading, while in healthcare, it powers medical imaging and AI-driven diagnostics. Additionally, it excels in AI workloads like machine learning and natural language processing (NLP) tasks, making it a powerhouse for VDI setups. ## Comprehensive Software Compatibility and Ecosystem Integration The NVIDIA A10 GPU supports a wide range of software beyond NVIDIA vGPU. It is compatible with popular AI frameworks like TensorFlow, PyTorch, and Caffe, allowing developers to leverage the A10’s capabilities for machine learning and deep learning. The A10 also integrates seamlessly into cloud ecosystems, supporting platforms like AWS, Azure, and Google Cloud. This compatibility enables organizations to use the A10 for AI training and VDI in hybrid cloud environments, enhancing operational flexibility. Support for CUDA cores and CUDA libraries further empowers developers, making the A10 an excellent choice for parallel computing and high-performance deep learning workloads. ## Efficiency and Thermal Management The NVIDIA A10 GPU operates at a maximum TDP of 150W, balancing performance and power efficiency. Its single-slot, full-height, full-length (FHFL) design ensures compatibility with a variety of servers. The passive cooling system relies on system airflow to maintain optimal thermal performance, making effective cooling strategies essential in data centers. This focus on thermal management not only enhances cooling for extended use but also positions the A10 as an economical choice compared to other GPUs in its class. ## Built-in Security: Advanced Protection Features Security is a priority for enterprises, and the NVIDIA A10 GPU addresses this with robust features. It includes a root-of-trust security architecture that enables secure boot, firmware upgrades, and rollback protection, ensuring safe operation in mission-critical environments. Additionally, the A10 meets enterprise security standards like TPM (Trusted Platform Module), enhancing data protection and compliance with regulations such as GDPR. These measures make the A10 a reliable option for organizations handling sensitive data. ## Certifications You Can Count On The NVIDIA A10 isn’t just powerful—it’s certified for a wide range of environments, ensuring it meets the highest standards: - **WHQL Certified**: Windows 7, 8.1, 10, and Server - **ISO 9241**: Ergonomic requirements for VDTs - **EU RoHS**: Compliance with hazardous substance reduction - **JIG/REACH**: Chemical safety standards - **Halogen Free**: Meets HF requirements - **EU WEEE**: Waste disposal compliance It also passes global agency standards, including FCC, CE, UL, and more, making it a trusted solution worldwide. ## Real-World Performance NVIDIA A10 Benchmarks The NVIDIA A10 offers 31.2 TFLOPS of compute performance, surpassing the T4 and providing faster inference for AI workloads like ResNet-50 and BERT-Large, making it ideal for demanding applications. The T4, however, is more power-efficient, fitting for edge deployments or smaller workloads with limited budgets. While the A10 excels in AI inference and graphics rendering, the A30 outshines it in large-scale deployments with higher memory bandwidth and multi-GPU support. For graphics-intensive tasks in applications like Autodesk Maya and SolidWorks, the A10 is effective, but the A100 excels in high-performance computing (HPC) and deep learning, particularly for training complex models and simulations. ## The Power You Need, The Flexibility You Demand The NVIDIA A10 GPU combines power, efficiency, and flexibility into one sleek package, making it an unbeatable choice for enterprise data centers. From AI workloads to professional visualization and VDI, the A10 delivers cutting-edge performance while keeping operations secure and scalable. If you’re ready to supercharge your data center, the NVIDIA A10 is your go-to solution. ## SPECIFICATIONS ### Nvidia A10 Specifications - **Product SKU:** PG133 SKU 215 - **NVPN:** 699-2G133-0215-C01 or later - **Total Board Power:** 150 W - **Thermal Solution:** Passive - **Form Factor:** Full-height, full-length (FHFL), 10.5”, single-slot ### GPU Specifications - **GPU SKU:** GA102-890 - **PCI Device ID:** 0x2236 - **Vendor ID:** 0x10DE - **Sub-Vendor ID:** 0x10DE - **Sub-System ID:** 0x1482 - **Base Clock:** 885 MHz - **Boost Clock:** 1695 MHz - **Performance States:** P0, P8 ### Memory Specifications - **Memory Type:** GDDR6 - **Memory Clock:** 6251 MHz - **Memory Size:** 24 GB - **Memory Bus Width:** 384 bits - **Peak Memory Bandwidth:** Up to 600 GB/sec ### Driver and Firmware Support - **Linux Driver Support:** R460.21 or later - **Windows Driver Support:** R460.57 or later - **Secure Boot:** Supported ### Environmental Specifications - **Ambient Operating Temperature:** 0 °C to 50 °C - **Short-Term Operating Temperature:** -5 °C to 55 °C (up to 96 hours, max 15 days/year) - **Storage Temperature:** -40 °C to 75 °C ### Reliability Specifications - **MTBF in Uncontrolled Environment:** 1,198,847 hours at 35 °C - **MTBF in Controlled Environment:** 1,412,904 hours at 35 °C (up to 6000 feet) ## FAQS [a\ \ **What is the Nvidia A10 used for?**](/content/product/nvidia-a10-gpu/#/index.html) The Nvidia A10 is primarily designed for AI inference, professional visualization, and graphics-intensive tasks. It excels in industries such as architecture, media and entertainment, healthcare, and financial services, supporting demanding applications and workflows across these sectors. [a\ \ **Is the A10 suitable for virtual desktop infrastructure (VDI)?**](/content/product/nvidia-a10-gpu/#/index.html) The A10 is optimized for virtual desktop infrastructure (VDI) and supports NVIDIA vGPU software. This allows it to efficiently virtualize demanding applications, providing a seamless experience for users across various platforms. [a\ \ **Can the A10 be used in cloud environments?**](/content/product/nvidia-a10-gpu/#/index.html) The A10 integrates well into cloud ecosystems, supporting major platforms like AWS, Azure, and Google Cloud. This enables organizations to leverage the A10 for AI training and VDI in hybrid cloud settings. [a\ \ **Does the A10 support major AI frameworks?**](/content/product/nvidia-a10-gpu/#/index.html) The Nvidia A10 is compatible with popular AI frameworks, including TensorFlow, PyTorch, and Caffe. This compatibility makes it an ideal choice for machine learning and deep learning applications across various industries.