NVIDIA
NVIDIA A100 Tensor Core GPU
Best accelerator for enterprise-scale AI research and complex data analytics.
Unleash the power of AI and HPC with the NVIDIA A100 Tensor Core GPU. Built on the advanced Ampere architecture, this accelerator delivers exceptional performance for data analytics and complex computing workloads. Featuring a massive 80GB of HBM2e memory and 6912 CUDA Cores, it provides unparalleled speed and efficiency. With 3rd Gen Tensor Cores and high memory bandwidth, the A100 is the ultimate solution for cutting-edge research and enterprise applications demanding unmatched computational power.
$7649.00
Owner Satisfaction
4.7
/ 5
Category Rank
8
/ 104
#8 in Server GPU
Price vs Category Average
+55%
Above average
Engine Architecture
Ampere
/ Ampere
Who it's for
- Data scientists needing maximum speed for complex AI training
- IT managers maximizing hardware efficiency through workload partitioning
- Researchers requiring high-fidelity precision for scientific simulations
Who should skip it
- Small research teams with limited hardware budgets
- Organizations lacking specialized data center cooling infrastructure
- Developers running basic inference or general computing tasks
Performance breakdown
AI Training Throughput
Ampere architecture delivers industry-leading speed for massive neural network training tasks.
Memory Capacity
The 80GB HBM2e buffer handles enormous datasets without breaking a sweat.
Data Bandwidth
Near 2TB/s throughput ensures data bottlenecks are virtually non-existent during computation.
Computational Efficiency
Third-generation Tensor Cores maximize performance per watt for complex enterprise workloads.
System Integration
PCI-E 4.0 support ensures seamless compatibility with modern high-performance server infrastructure.
Thermal Management
Passive cooling design is highly effective within optimized, high-airflow server environments.
Key Specs
Engine Architecture
Ampere
CUDA Cores
6912
Tensor Cores
432 (3rd Gen)
Memory Size
80GB HBM2e
Memory Bandwidth
1.94TB/s
Bus Support
PCI-E 4.0 X16
Max Power Consumption
300W
Dimensions
4.375 Inch (H) x 10.5 Inch (L)
Features
- Exceptional AI and HPC performance
- Massive 80GB HBM2e memory
- Accelerated AI/HPC processing
- High-speed PCI-E 4.0 support
- Efficient passive cooling
- Dual-slot, full-height design
- Supports major parallel computing standards
What customers say
The NVIDIA A100 GPU is widely recognized as essential hardware for artificial intelligence and high-performance computing. Users consistently praise its unparalleled computational power, driven by third-generation Tensor Cores and large HBM2e memory, which significantly accelerates deep learning training and inference. Its scalability via NVLink is a key feature enabling powerful multi-GPU setups. While the initial cost is high, organizations view the A100 as a worthwhile investment due to the substantial returns in faster research and improved efficiency. The robust software ecosystem further solidifies its position. Overall, the A100 is celebrated as the current benchmark for AI acceleration.
Know before you buy
The A100 is engineered specifically for high-performance computing (HPC), large-scale AI model training, and complex data analytics. It is optimized for tasks that require massive parallel processing power rather than standard graphics rendering.
Yes, the A100 features a passive cooling design, meaning it relies on the high-velocity airflow provided by the server chassis fans. It is not intended for use in standard desktop workstations or cases without enterprise-grade cooling systems.
While the card is physically compatible with PCIe 3.0 slots, you will experience a significant bottleneck in data transfer speeds. To utilize the full 1.94TB/s memory bandwidth and performance potential, a PCIe 4.0 interface is highly recommended.
The A100 has a maximum power consumption of 300W and utilizes a single 8-pin PCIe power connector. Ensure your server power supply unit (PSU) can handle this load alongside your CPU and other components while maintaining stable power delivery.
HBM2e (High Bandwidth Memory) provides significantly higher memory bandwidth than traditional GDDR6 memory. This is critical for AI and HPC workloads, as it allows the GPU to feed data to the cores fast enough to prevent processing stalls during massive computations.
While the A100 is technically capable of rendering, it is not optimized for video editing or standard 3D design workflows. It lacks the display outputs found on consumer-grade cards and is purpose-built for compute-heavy data center applications.
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