The Nvidia Tesla A100 40GB is a powerhouse GPU designed to elevate performance in AI, machine learning, and high-performance computing. Built on NVIDIA’s advanced Ampere architecture, it brings unmatched speed, efficiency, and scalability to research labs, data centers, and enterprise-level projects.
Whether you’re training complex neural networks, running large-scale data models, or pushing the boundaries of scientific research, the Tesla A100 40GB delivers the compute power you need to accelerate results and drive innovation forward.
With generous memory capacity and optimized bandwidth, the A100 offers smooth performance across even the most demanding workflows. It’s built to scale—making it an ideal choice for growing infrastructures and teams that need reliable, future-ready GPU power.
From AI development and real-time analytics to simulation and modeling, the Tesla A100 enables faster, more efficient results across a wide range of professional applications. Combined with full support from NVIDIA’s robust software ecosystem, it’s a smart investment for teams ready to move faster and go further.
Ready to upgrade your performance? Contact us to learn more about how the Nvidia Tesla A100 40GB can transform your operations.
6,912 CUDA Cores & 432 Tensor Cores: Exceptional performance for AI, HPC, and data analytics.
40GB HBM2 Memory: Ideal for large-scale AI models and data-intensive workloads.
1555 GB/s Bandwidth: Ultra-fast data transfer and throughput.
400W TDP: Optimized for professional, high-demand systems.
PCIe Gen 4 & NVLink Support: Seamless scalability in multi-GPU environments.
NVIDIA Software Ecosystem: Supports CUDA, cuDNN, TensorRT, and more.
Architecture: NVIDIA Ampere
Memory: 40GB HBM2
Memory Bandwidth: 1555 GB/s
Compute Performance:
FP64: 9.7 TFLOPS
FP32: 19.5 TFLOPS
FP16/TF32 Tensor: 312 TFLOPS
INT8 Tensor: 624 TOPS
INT4 Tensor: 1,248 TOPS
Form Factor: PCIe Gen 4
Power: 400W TDP
Interconnect: 3rd Gen NVLink (up to 2 GPUs per link)
Supported Software: CUDA, cuDNN, TensorRT, Deep Learning SDK, HPC Libraries
Target Applications: AI Training, Inference, Data Analytics, Scientific Computing, HPC
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