Rent NVIDIA A800 PCIE GPU by the hour
The NVIDIA A800 PCIE is an Ampere architecture datacenter GPU equipped with 80 GB of VRAM. It delivers about 1598 GB/s of memory bandwidth and about 15.6 TFLOPS of single-precision performance within a 300 W power envelope. On Cloudj, you can deploy this card with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
80 GB
Architecture
NVIDIA Ampere
Compute capability
8
FP32 compute
≈ 15.6 TFLOPS
Memory bandwidth
≈ 1598 GB/s
Power limit
300 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
Live stock and prices, updated continuously. The final price is confirmed before you order.
Rent nowWhat the A800 PCIE is good for
Large Language Model Inference
Host large language models entirely in the 80 GB VRAM buffer using pre-configured vLLM or Ollama templates.
Deep Learning Fine-Tuning
Train and fine-tune models with large batch sizes and long context windows in PyTorch/CUDA without running into memory bottlenecks.
High-Throughput Batch Processing
Utilize about 1598 GB/s of memory bandwidth to process data-intensive neural network workloads and embeddings.
Complex Generative Workflows
Run multi-model diffusion pipelines in ComfyUI while keeping multiple checkpoints loaded in memory simultaneously.
Is it the right GPU for you?
Choose the A800 PCIE when your primary requirement is 80 GB of memory capacity for large-scale AI models rather than raw single-precision compute. If your workload fits into a smaller memory footprint, a lower-VRAM workstation or consumer GPU is more appropriate, whereas compute-bound tasks may benefit from newer generation datacenter architectures.
Frequently asked questions
Rent the A800 PCIE by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.