NVIDIA A10 Server Graphics Card

NVIDIA A10 Server Graphics Card

The NVIDIA A10 Server Graphics Card, built on the powerful Ampere architecture, boasts 24 GB of GDDR6 memory with ECC for exceptional reliability. With 10752 CUDA cores and up to 31.2 TFLOPS of FP32 performance, it delivers lightning-fast processing for demanding workloads. Its advanced NVENC and NVDEC engines support AV1 decode, making it ideal for high-performance computing and AI applications.

✅ NVIDIA A10 Specification Table

Feature	Specification
Architecture	NVIDIA Ampere
GPU Memory	24 GB GDDR6 with ECC
Memory Interface	384-bit
Memory Bandwidth	600 GB/s
CUDA Cores	10752
Tensor Cores	336
RT Cores	84
FP32 Performance	Up to 31.2 TFLOPS
INT8 Performance	Up to 624 TOPS (with sparsity)
NVENC / NVDEC Engines	2 / 1 (supporting AV1 decode)
Thermal Design Power (TDP)	150 Watts
Form Factor	PCIe Dual Slot
Interface	PCIe Gen 4 x16
Display Outputs	None (headless, server-focused)
ECC Support	Yes
Virtualization Support	NVIDIA vGPU, SR-IOV

? Description

The NVIDIA A10 is a powerful data center GPU designed to accelerate AI inference, deep learning, high-performance computing (HPC), and virtual desktop infrastructure (VDI). Built on the Ampere architecture, the A10 combines 24 GB of GDDR6 ECC memory with 10752 CUDA cores, 336 third-generation Tensor Cores, and 84 second-generation RT Cores, delivering exceptional compute performance and rendering capabilities in a low-power form factor. It is particularly well-suited for enterprises running mixed workloads—ranging from AI training and inference to graphics-intensive virtual workstations—on a single, flexible platform. The A10 is optimized for use in virtualized environments with support for NVIDIA’s vGPU software stack, enabling multiple users to share GPU resources efficiently. It offers up to 31.2 teraflops of FP32 performance and up to 624 TOPS for INT8 inference (with sparsity), making it ideal for AI-driven applications like speech recognition, image classification, and recommendation systems. Thanks to its energy-efficient 150W TDP, the A10 fits into a variety of servers without requiring excessive cooling. With its combination of high throughput, robust memory, and virtualization readiness, the NVIDIA A10 delivers data center-class performance and versatility for modern enterprises.

? Key Features

• Ampere Architecture – Built on NVIDIA’s Ampere GPU architecture, offering enhanced performance and energy efficiency.
• 24GB GDDR6 ECC Memory – Supports memory-intensive workloads like AI inference, graphics rendering, and large datasets.
• Multi-Instance GPU (MIG) – Partition a single GPU into multiple instances for workload isolation and better utilization.
• CUDA, Tensor, and RT Cores – Optimized for deep learning, AI inference, ray tracing, and high-performance computing (HPC).
• PCIe Gen4 Support – High-speed interface for faster data transfers and reduced latency.
• Hardware Video Encoding/Decoding – Capable of encoding up to 5 concurrent 4K video streams—ideal for remote desktops and virtual workstations.

? Where It Can Be Used?

• AI Inference & Training – Accelerates machine learning models in data centers.
• Virtual Desktop Infrastructure (VDI) – Powers virtual workstations for designers, architects, and engineers.
• Cloud Gaming & Rendering Farms – Delivers powerful GPU capabilities for real-time applications.
• Media & Entertainment – For transcoding, encoding, video editing, and live streaming.
• Scientific Computing – Suitable for simulations, research, and analytics in fields like genomics and physics.

? Installation Steps

1. Power Down Server – Ensure the server is powered off and unplugged.
2. Insert GPU – Place the A10 into a compatible PCIe Gen4 x16 slot.
3. Secure with Bracket – Use the retention bracket to lock the GPU in place.
4. Connect Auxiliary Power (if needed) – Ensure appropriate power connectors are attached (consult server PSU and A10 documentation).
5. Boot Up and Install Drivers – Power on the system and install NVIDIA Data Center drivers (via Linux or Windows).
6. Configure for Virtualization (Optional) – Use NVIDIA vGPU software or set up MIG instances if running multiple workloads.

? User Experience

• Silent & Efficient – Passive cooling design intended for high-density server racks with good airflow.
• Scalable – Great for users needing to scale workloads across multiple VMs or containers.
• Remote Accessibility – Seamlessly supports remote workloads with near-native GPU performance.
• Low Latency AI Inference – Real-time responsiveness for AI-driven services.

❓ Why Choose NVIDIA A10 Server Graphics Card?

1. Balance of Performance & Efficiency – Designed for both compute and graphics-heavy server workloads.
2. Future-Proof Investment – Compatible with emerging AI and data science demands.
3. Industry-Leading Software Stack – Access to CUDA, cuDNN, TensorRT, and NVIDIA AI Enterprise suite.
4. Reduced TCO – Consolidate workloads onto fewer physical machines via GPU partitioning.
5. Certified for Enterprise Environments – Compatible with major server OEMs and supported by enterprise IT tools.

Buy NVIDIA A10 Server Graphics Card at the Best Price from Datacom BD Online

In Bangladesh, you can get NVIDIA A10 Server Graphics Card From Datacom. We have a large collection of latest Server Graphics Card to purchase. Order Online Or Visit our Office to get yours at lowest price. The NVIDIA A10 Server GPU comes with 1 Year warranty.

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What is the price of NVIDIA A10 Server Graphics Card in Bangladesh?

The estimated price of NVIDIA A10 Server Graphics Card in Bangladesh is 456,000৳. You can buy the NVIDIA A10 Server GPU at best price from our website or visit our Office. For the most accurate pricing, stock availability, and warranty details, we recommend contacting us before placing your order.