A100 96G PCIE Graphics Card

Equipped with 96GB of high-bandwidth HBM2e memory, 6,912 CUDA cores, 3rd-generation Tensor Cores, and PCIe 4.0 connectivity, the Telefly A100 96G PCIE Graphics Card provides maximum AI processing power, enabling ultra-fast computations, seamless multi-GPU scalability, and enterprise-grade reliability.

As a leading China supplier, Telefly offers wholesale pricing, buy discount options, and an updated pricelist to help businesses scale their AI and HPC infrastructures. With a years warranty, we ensure long-term reliability and performance for customers worldwide.

Key Features & Benefits

1. Industry-Leading AI & HPC Performance with NVIDIA Ampere Architecture

6,912 CUDA cores and 3rd-generation Tensor Cores deliver unmatched acceleration for AI model training, deep learning, and scientific computing.

Supports FP64, TF32, and FP16 precision computing, optimizing AI workloads and real-time data analytics.

Tensor Float 32 (TF32) technology enhances deep learning computations for higher efficiency and accuracy.

2. Massive 96GB HBM2e Memory for Large-Scale AI Applications

96GB of HBM2e memory with over 2TB/s memory bandwidth, ensuring seamless processing of large AI models and datasets.

Perfect for deep learning, natural language processing (NLP), and big data applications.

Minimizes memory bottlenecks, increasing AI inference and model training speed.

3. PCIe 4.0 Connectivity for High-Speed Data Transfer

PCIe 4.0 interface, providing twice the bandwidth of PCIe 3.0, ensuring faster AI and HPC data throughput.

Ideal for AI-powered data centers, cloud environments, and workstation deployments.

Seamless compatibility with existing PCIe infrastructures.

4. Multi-GPU Scalability for Enterprise AI & HPC

Supports multi-GPU configurations, enhancing parallel computing and AI supercomputing clusters.

Compatible with NVLink bridges for high-speed GPU-to-GPU communication.

Up to 600GB/s of interconnect bandwidth, 5X faster than traditional PCIe solutions.

5. Advanced Scientific Computing & AI Research

Accelerates double-precision floating-point (FP64) calculations for complex simulations and computational modeling.

Optimized for astrophysics, weather forecasting, computational chemistry, and genome sequencing.

Enhances performance for AI-driven medical research, drug discovery, and biomedical simulations.

Industry Applications & Use Cases

1. Artificial Intelligence & Deep Learning

Ideal for AI model training, deep learning inference, and neural network optimization.

Supports AI-driven applications in robotics, predictive analytics, and autonomous systems.

Enhances performance in AI supercomputing, AI-driven automation, and data-driven decision-making.

2. Cloud AI & Enterprise AI Processing

Designed for cloud-based AI inference, large-scale language models, and AIaaS (AI-as-a-Service).

Compatible with major cloud platforms like AWS, Google Cloud, and Microsoft Azure.

Speeds up AI processing in hyperscale cloud environments.

3. Scientific Computing & Medical Research

Speeds up AI-driven medical imaging, computational drug discovery, and genomics research.

Enhances AI-based diagnostics, neuroscience, and medical data processing.

Supports AI-assisted healthcare applications, including real-time medical decision-making.

4. Smart Transportation & Autonomous Systems

AI-powered computing for self-driving cars, drones, and robotics.

Enables real-time AI-based decision-making in transportation and logistics.

Optimized for AI-powered predictive maintenance and industrial automation.

5. High-Performance 3D Rendering & Virtual Reality (VR)

Supports AI-assisted 3D rendering, real-time graphics processing, and virtual simulations.

Perfect for AI-driven content creation, digital twin modeling, and game development.