A100 48G PCIE Graphics Card

As a China supplier, Telefly provides wholesale purchasing options, attractive buy discount offers, and a transparent pricelist for businesses looking to scale their AI and HPC infrastructure. This Graphics Card comes with a years warranty, ensuring reliability and long-term investment protection.

With 6,912 CUDA cores, 432 Tensor Cores, and support for FP64, FP32, and TF32 operations, this Telefly A100 48G PCIE Graphics Card is an essential component for AI research, autonomous computing, and advanced data processing.

Key Features & Benefits

1. AI & Deep Learning Acceleration

Powered by NVIDIA Ampere Architecture, delivering 20X performance improvements over previous generations.

48GB HBM2 high-bandwidth memory enables ultra-large AI model training and real-time inferencing.

Third-generation Tensor Cores provide high efficiency for AI-driven applications, supporting FP64, FP32, and TF32 computations.

2. PCIe 4.0 Interface for Seamless Integration

PCIe 4.0 compatibility ensures high-speed connectivity for enterprise AI servers and workstations.

Backward compatibility with PCIe 3.0, offering flexibility for existing hardware infrastructure.

Lower power consumption compared to SXM4 versions, making it ideal for AI cloud deployments and on-premise AI solutions.

3. Multi-Instance GPU (MIG) for Efficient AI Workloads

Partitioning technology enables up to seven GPU instances, allowing multiple AI workloads to run in parallel.

Perfect for cloud-based AI inference, real-time data analytics, and enterprise-scale AI applications.

Supports advanced GPU virtualization in cloud computing environments.

4. High-Performance Computing (HPC) & Scientific Research

Supports double-precision floating-point (FP64) operations, essential for scientific simulations, medical imaging, and computational physics.

Ideal for genomics, weather prediction, fluid dynamics simulations, and geospatial analytics.

Industry Applications & Use Cases

1. AI & Machine Learning

AI Model Training: Reduces training time for deep learning models, optimizing AI research workflows.

Cloud-Based AI: Supports large-scale AI cloud computing and GPU-accelerated AI inference.

Natural Language Processing (NLP): Powers chatbots, voice assistants, and AI-based text analytics.

2. Data Science & Big Data Analytics

Accelerates large-scale data processing with Tensor Core-based computing.

Enhances AI-driven predictive analytics and business intelligence (BI) applications.

3. High-Frequency Trading (HFT) & Financial Modeling

Optimized for low-latency trading algorithms, delivering high-performance financial data analysis.

Supports real-time risk analysis, portfolio optimization, and quantitative trading models.

4. Healthcare & Medical Research

Used for AI-driven medical diagnostics, radiology imaging, and drug discovery.

Supports biotech research, genomics, and molecular simulations.

5. Self-Driving Cars & Smart Transportation

Enables AI-based computer vision for autonomous vehicles and ADAS systems.

Supports real-time sensor fusion and traffic pattern recognition.

6. 3D Rendering & Virtual Reality (VR) Applications

Speeds up rendering for high-resolution 3D graphics, VR simulations, and digital twin modeling.

Supports applications in engineering, architecture, and game development.