NVIDIA A100 80GB PCIe GPU

NVIDIA A100 80GB PCIe GPU:

The NVIDIA A100 80GB PCIe GPU is a high-performance graphics processing unit designed primarily for data centers, AI research, and high-performance computing (HPC) environments. This server accessory belongs to NVIDIA’s Ampere architecture family and is built to handle extremely demanding computational workloads, such as training and deploying large-scale machine learning models, running scientific simulations, and processing massive datasets.

With 80 GB of ultra-fast HBM2e memory and up to 2 TB/s memory bandwidth, it can support very large models and data-intensive operations with minimal bottlenecks. The “PCIe” in its name refers to the PCI Express interface, which allows the GPU to be installed in standard server or workstation slots. You can order this product in Atech.ae.

This makes it more flexible for traditional systems compared to the SXM version, although PCIe models have slightly lower performance due to reduced interconnect speed. The A100 features thousands of CUDA cores and specialized Tensor Cores, which accelerate deep learning tasks significantly. Overall, the A100 80GB PCIe is one of the most powerful GPUs available for enterprises and researchers looking to accelerate their AI and compute-heavy workloads.

Uses of NVIDIA A100 80GB PCIe GPU:

The NVIDIA A100 80GB PCIe GPU is widely used in advanced computing environments due to its exceptional performance and large memory capacity. It is especially valuable in AI and machine learning, where it can train massive models like BERT or GPT in less time thanks to its powerful Tensor Cores.

It also handles inference efficiently, meaning it’s great for real-time AI applications such as voice assistants or recommendation systems. In high-performance computing (HPC), the A100 is used for simulations in physics, chemistry, weather modeling, and engineering.

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Additionally, it’s a strong choice for data analytics and big data processing, helping organizations process huge datasets quickly. Due to its PCIe interface, it’s compatible with many standard servers and workstations, making it easier to integrate into existing systems compared to more specialized GPUs.

• High-Performance Computing (HPC)
• Data Analytics
• Scientific Research
• Cloud & Virtualized Environments
• Large Language Models (LLMs)

Features of NVIDIA A100 80GB PCIe GPU:

• GPU Architecture: Ampere
• Memory: 80 GB HBM2e
• Interface: PCIe Gen 4
• Tensor Performance: Up to ~312 TFLOPs (with sparsity)
• Memory Bandwidth: ~2.0 TB/s
• CUDA Cores: 6912
• Tensor Cores: 432
• NVLink: Not supported on PCIe model (only available on SXM version)

More specifications about NVIDIA A100 80GB PCIe GPU:

• Multi-Instance GPU (MIG) Support: The A100 supports MIG (Multi-Instance GPU), allowing a single GPU to be partitioned into up to 7 separate instances. This is useful for running multiple smaller workloads securely and efficiently on one physical GPU ideal for shared environments.
• Energy Efficiency: Despite its performance, it is designed with energy efficiency in mind, which is critical for data centers aiming to reduce power and cooling costs.
• Tensor Cores for Mixed Precision: The A100’s 3rd-generation Tensor Cores support mixed-precision computing (FP64, TF32, FP16, INT8), allowing you to trade off some numerical precision for massive speed-ups in deep learning tasks.
• PCIe vs SXM Form Factor: The PCIe version is easier to integrate into standard systems but has slightly lower performance than the SXM version, which has higher memory bandwidth and supports NVLink (for high-speed GPU-to-GPU communication).
• Software Stack (CUDA, cuDNN, etc.): It works best with NVIDIA’s software ecosystem, including CUDA, cuDNN, TensorRT, and RAPIDS, which optimize performance for AI and data science applications.
• Used by Leading Companies and Labs: It’s the backbone of AI infrastructure in companies like OpenAI, Meta, Google, and research institutions worldwide.

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