NVIDIA A100
NVIDIA40–80GB HBM2eSXM4 / PCIeAmpereData updated 2026-08-04 08:50 UTC · refreshed every 5 min
Current Price
$1.41
+4.2% (24h)
Available Now
167 GPU
High availability
Total in Network
817 GPU
Live data
Utilization
79.6%
Stable
Price Tracking
USD/hour (minimum · median)
Available GPUs
Ready to rent
Total in Network
Infrastructure Growth
Technical Specifications
Memory
40–80GB HBM2e
FP32 Performance
39 TFLOPS
Tensor Performance
624 TFLOPS
Memory Bandwidth
2.0 TB/s
Architecture
Ampere
TDP
400W
FP64 Performance
19.5 TFLOPS
CUDA Cores
6912
Tensor Cores
432
Ideal Use Cases
About NVIDIA A100
The NVIDIA A100 is a proven AI accelerator available in SXM4 and PCIe form factors, widely used for training large neural networks.
The NVIDIA A100 features 40–80GB of HBM2e memory with 2.0 TB/s bandwidth, making it excellent for ai training, deep learning, hpc. With 624 TFLOPS tensor performance and 39 TFLOPS FP32 compute, this NVIDIA Ampere GPU delivers exceptional performance for demanding workloads.
Currently, 817 GPU A100 GPUs are available in the GPUniq network with 79.6% utilization. The average rental price is $1.41 per hour, with 167 GPU ready for immediate deployment.
A100 vs similar GPUs — specs & live rental prices
Prices are live minimum / median USD per hour on the GPUniq marketplace, as of 2026-08-04 08:50 UTC.
Frequently Asked Questions
How much does it cost to rent NVIDIA A100?
The current rental price for NVIDIA A100 is $1.41 per hour on GPUniq. Prices may vary based on demand and availability.
What is NVIDIA A100 best used for?
NVIDIA A100 is ideal for AI Training, Deep Learning, HPC, Scientific Research, Data Analytics. With 40–80GB of HBM2e memory and 624 TFLOPS tensor performance, it excels at demanding AI and compute workloads.
How many NVIDIA A100 GPUs are available for rent?
Currently, there are 167 GPU available for immediate rental out of 817 GPU total in the GPUniq network. The current utilization is 79.6%.
What are the specifications of NVIDIA A100?
NVIDIA A100 features 40–80GB HBM2e memory, 39 TFLOPS FP32 performance, 624 TFLOPS tensor performance, 2.0 TB/s memory bandwidth, and 400W TDP. It uses the Ampere architecture.
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