English 
| Quantity: | |
|---|---|
A2 16GB
NVIDIA
Sourced directly from a premier manufacturer and global supplier of enterprise-grade data center hardware, the A2 16GB Graphics Card is meticulously engineered for high-density edge computing and efficient AI inference.
Optimized for low-power, continuous operation in space-constrained server environments.
Delivers significant computational performance leaps over previous-generation entry-level cards.
Ideal for volume sourcing, large-scale enterprise deployments, and strict budget allocations.
The A2 16GB Graphics Card represents a masterclass in precision engineering for modern data centers and edge environments. Physically, it boasts a sleek, low-profile form factor with a meticulously crafted passive cooling heatsink, designed to integrate seamlessly into densely packed server chassis without adding thermal strain. The tactile robustness of the PCB and the streamlined single-slot architecture reflect its purpose-built nature for demanding, continuous operation. According to NVIDIA’s official positioning, the A2 focuses on efficient inference acceleration and high-density deployment, supporting modern AI frameworks while maintaining low energy consumption for continuous operation. Compared with previous-generation entry GPUs such as the NVIDIA T4, the A2 delivers up to 1.5–2× higher AI inference performance, along with improved efficiency for small models, video processing, and multi-instance workloads. Compared with newer GPUs like NVIDIA L2 or L4, the A2 is positioned as a more cost-effective entry solution, making it suitable for users who need stable and affordable AI performance without requiring higher-end inference capabilities.
NVIDIA A2 and L2 are both entry-level GPUs designed for AI inference and edge deployment, but they target different generations and performance levels. The A2, based on the Ampere architecture, is a cost-effective solution for lightweight AI workloads, edge computing, and high-density deployments, delivering up to 1.5–2× performance improvement over older entry GPUs. In contrast, the L2, built on the newer Ada Lovelace architecture, offers 2–3× higher AI inference performance vs T4, along with better energy efficiency and improved scalability for modern AI applications. In short, A2 is the best choice for ultra-low budget and basic AI tasks, while L2 is a better long-term option with stronger performance and efficiency for growing AI workloads. If your priority is minimizing cost, choose A2. If you need better performance and scalability, L2 provides a more future-proof solution. With Telefly’s in-stock supply and reliable support, you can confidently select the right GPU for your project.
Precision is critical when configuring enterprise infrastructure. The following technical specifications detail the exact hardware capabilities, architectural foundation, and thermal parameters of the A2 16GB Graphics Card. Every metric, from the advanced Ampere architecture to the specialized third-generation Tensor cores, is precisely calibrated to ensure seamless integration into your existing server environment. Review these exact parameters meticulously to confirm absolute compatibility with your demanding edge computing and AI inference requirements, ensuring your deployment operates at peak efficiency.
Architecture | NVIDIA Ampere |
GPU Processor | GA107 (8nm process) |
CUDA Cores | 1280 |
Tensor Cores | 40 (Third Generation) |
RT Cores | 10 (Second Generation) |
GPU Memory | 16GB GDDR6 (ECC Supported) |
Memory Bus | 128-bit |
Memory Bandwidth | 200 GB/s |
Base Clock | 1440 MHz |
Boost Clock | 1770 MHz |
System Interface | PCIe Gen4 x8 |
Max TDP | 40W - 60W (Configurable) |
Form Factor | 1-slot, Low-Profile PCIe |
Thermal Solution | Passive |
Peak FP32 | 4.5 TFLOPS |
Peak INT8 | 36 TOPS (72 TOPS with Sparsity) |
Media Engines | 1 Video Encoder, 2 Video Decoders (AV1 Decode Supported) |
Display Outputs | None (Designed for Data Center/Server) |
vGPU Support | NVIDIA vPC, vApps, RTX vWS, AI Enterprise, vCS |
Equipping your data center with the right hardware fundamentally transforms operational efficiency. The A2 16GB Graphics Card is engineered to resolve critical bottlenecks in edge computing, offering a harmonious balance of processing power and physical adaptability. The visual absence of external power connectors and the sleek, finned aluminum heatsink speak volumes about its optimized engineering.
Unobtrusive Physical Footprint: The single-slot, low-profile design allows this card to slide effortlessly into the most restrictive server nodes, maximizing your rack space utilization.
Silent and Reliable Thermal Management: Utilizing a purely passive thermal solution, it eliminates moving parts, thereby reducing mechanical failure rates and ensuring silent, vibration-free operation within forced-air server chassis.
Advanced Error Correction: Equipped with 16GB of GDDR6 memory featuring ECC (Error Correcting Code), it actively prevents data corruption during critical AI inference tasks, ensuring absolute data integrity.
Next-Generation Media Handling: The inclusion of AV1 decode support alongside dedicated video encoders and decoders dramatically accelerates video processing pipelines, crucial for intelligent video analytics.
The technological foundation of any computing hardware dictates its operational ceiling. Built upon the highly acclaimed NVIDIA Ampere architecture, this graphics card integrates 40 third-generation Tensor Cores and 16GB of high-speed GDDR6 memory. This architectural synergy allows it to process complex neural networks with remarkable fluidity and precision.
Generational Leap: Compared with previous-generation entry GPUs such as the NVIDIA T4, this card delivers up to 1.5 to 2 times higher AI inference performance, redefining entry-level capabilities.
Optimized Workloads: It demonstrates significantly improved efficiency specifically tailored for small models, intensive video processing, and multi-instance workloads, ensuring no compute cycle is wasted.
Precision Processing: The 1280 CUDA cores work in tandem with the Tensor cores to accelerate deep learning matrices, drastically reducing latency in real-time applications.
Space and thermal constraints are the primary adversaries of edge server deployments. This hardware is meticulously crafted to conquer these exact challenges. By minimizing power draw without sacrificing essential computational capabilities, it redefines what is possible in highly compact server environments.
Ultra-Low Power Consumption: Operating within a configurable Maximum TDP of just 40W to 60W, it drastically cuts down on electricity expenditures and minimizes the thermal output of your infrastructure.
Cable-Free Integration: Operating entirely without the need for external auxiliary power connectors, it draws all necessary current directly from the PCIe Gen4 x8 interface, streamlining internal server cabling and improving airflow.
Maximum Server Density: The combination of a 1-slot, low-profile form factor and passive cooling allows procurement teams to populate single servers with multiple cards, achieving unprecedented computational density per rack unit.
Versatility is paramount when selecting hardware for diverse enterprise projects. This card is not merely a component; it is a comprehensive solution perfectly adapted for edge computing and lightweight AI workloads across multiple demanding industries.
Intelligent Video Analytics (IVA): With its robust media engines, it effortlessly manages multiple concurrent video streams, making it indispensable for smart city infrastructure and high-definition security monitoring.
Industrial Internet of Things (IIoT): It brings critical processing power directly to the factory floor, enabling real-time quality control and predictive maintenance at the extreme edge of the network.
Natural Language Processing (NLP): The efficient Tensor cores accelerate language models, facilitating rapid responses for automated customer service platforms and enterprise data extraction tools.
Financial prudence is a critical component of enterprise hardware procurement. Positioned as the most cost-effective entry-level AI inference solution, this card directly addresses the need for high performance-per-watt without inflating initial capital expenditures or ongoing operational costs.
Unmatched Value Proposition: For projects operating on an ultra-low budget that do not require the extreme computational power of higher-end cards like the L4 or A30, this hardware provides the optimal balance of price and performance.
Reduced Operational Costs: The exceptionally low power draw and passive cooling design significantly lower ongoing electricity and facility cooling costs, vastly improving the overall Total Cost of Ownership (TCO).
Strategic Investment: If your priority is minimizing cost while maintaining reliable basic AI task execution, this card allows you to scale your infrastructure economically and sustainably.
Hardware is only as effective as the software that drives it. This card boasts comprehensive compatibility with industry-leading software stacks, ensuring seamless integration into your existing cloud architectures or highly virtualized enterprise environments.
Native Software Integration: Fully compatible with the CUDA-X and TensorRT ecosystems, allowing enterprise developers to deploy optimized AI models with minimal friction and maximum execution speed.
Advanced Virtualization: Extensive support for vGPU software, including NVIDIA vPC, vApps, RTX vWS, and AI Enterprise, empowers system administrators to partition and allocate GPU resources dynamically.
Secure Multi-Tenant Environments: Virtualization capabilities ensure secure isolation between different user instances, maximizing hardware utilization rates across diverse enterprise departments without compromising data security.
Reliability extends beyond the silicon; it encompasses the entire procurement experience. Telefly is a professional supplier of NVIDIA GPUs and data center hardware, specializing in AI infrastructure and enterprise GPU solutions. We understand the critical nature of uninterrupted project timelines and robust supply chains.
Guaranteed In-Stock Availability: We offer in-stock NVIDIA A2 GPUs, completely eliminating the anxiety associated with supply chain disruptions and costly project delays.
Global Logistics Capability: Benefit from our fast global shipping network, ensuring your critical data center hardware arrives safely and precisely when your deployment schedule demands it.
Long-Term Partnership: We provide competitive pricing, stable supply lines, and highly reliable after-sales technical support, designed specifically to foster long-term cooperation and mutual enterprise success.
Selecting the right hardware partner is just as critical as selecting the hardware itself. As a dedicated supplier of enterprise GPU solutions and data center infrastructure, we are committed to empowering your technological advancements with unwavering support, transparent communication, and deep industry expertise.
Industry-Leading Expertise: Our deep specialization in AI infrastructure allows us to provide tailored architectural recommendations, ensuring you acquire the exact hardware required for your specific computational workloads.
Uncompromising Quality Assurance: Every piece of hardware dispatched from our facilities undergoes rigorous inspection to guarantee authentic, high-quality performance right out of the box, ensuring zero dead-on-arrival components.
Dedicated Account Management: We provide personalized service from initial inquiry through to post-deployment support, ensuring that your volume sourcing process is smooth, transparent, and highly efficient.
Strategic Global Pricing: Through strong industry relationships, we secure competitive pricing structures that protect your bottom line while delivering top-tier technological assets to your data centers.
To further assist in your technical evaluation process, we have compiled detailed, professional responses to the most common architectural and operational inquiries regarding this specific edge computing hardware.
The A2 leverages the highly advanced Ampere architecture, incorporating third-generation Tensor Cores. This results in up to 1.5 to 2 times higher AI inference performance compared to the older T4, alongside significantly improved power efficiency and enhanced capabilities for small models and multi-instance workloads.
The passive cooling heatsink relies entirely on the internal forced airflow generated by the server chassis fans. By eliminating the onboard fan, it removes a potential point of mechanical failure, ensuring higher reliability and silent operation, provided the server environment meets the required CFM (Cubic Feet per Minute) airflow specifications.
No, this hardware is specifically engineered as a cost-effective solution for lightweight AI workloads, edge computing, and high-density deployments. For intensive training of large language models, higher-end architectures with significantly larger memory bandwidth and computational power are strictly required.
Yes, the Maximum Thermal Design Power (TDP) is highly configurable between 40W and 60W. This flexibility allows system administrators to precisely balance computational performance against strict power and thermal limitations within dense edge server deployments.
This card offers robust enterprise virtualization support, including full compatibility with NVIDIA vPC, vApps, RTX vWS, AI Enterprise, and vCS. This comprehensive support enables efficient resource sharing, dynamic allocation, and secure multi-tenant deployments within complex data center architectures.
