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Rent NVIDIA A100 80GB

Rent NVIDIA A100 80GB HBM2e GPU cloud instances from $3.76/hr. 80 GB VRAM for large model training, LLM serving, and distributed training. NVLink clusters available. VoltageGPU.

✓ 80 GB HBM2e — largest Ampere VRAM✓ 2,039 GB/s memory bandwidth✓ Run 70B models on a single GPU✓ NVLink 3.0 multi-GPU support
Deploy NowView Pricing

Starting from

$3.76/hr

~$90.24/day

~$2,707.2/month (24/7)

Deploy A100 80GB

Per-minute billing · No commitment

A100 80GB Technical Specifications

VRAM

80 GB HBM2e

Memory Type

HBM2e

Memory Bandwidth

2,039 GB/s

CUDA Cores

6,912

Tensor Cores

432

FP16 Performance

312 TFLOPS

FP32 Performance

19.5 TFLOPS

TDP

300W (SXM) / 300W (PCIe)

Architecture

Ampere

Interconnect

NVLink 3.0 / PCIe 4.0

Included Storage

200 GB NVMe SSD

vCPUs

16 vCPUs

System RAM

128 GB DDR4 ECC

Manufacturer

NVIDIA

A100 80GB Cloud Pricing

See how VoltageGPU compares to other cloud GPU providers.

ProviderHourly RateEst. Monthlyvs VoltageGPU
VoltageGPUYou$3.76$2,707.2—
RunPod$4.19$3,01710% cheaper
Vast.ai$3.95$2,8445% cheaper
Lambda$4.49$3,23316% cheaper
AWS (p4de / per GPU)$5.12$3,68627% cheaper

Competitor pricing sourced from public pages as of March 2026. Prices may vary.

What Can You Do with the A100 80GB?

Popular workloads and use cases for NVIDIA A100 80GB cloud instances.

🏗️

Large Model Training

Train models with 13B–30B parameters in full precision. The 80 GB HBM2e gives you headroom for large batch sizes and complex architectures.

🌐

LLM Serving

Host 70B parameter models (quantized) or multiple 7B-13B models simultaneously for production inference at scale.

🔗

Distributed Training

Connect up to 8 A100 80GB GPUs via NVLink for training large transformer models with DeepSpeed, FSDP, or Megatron.

📊

Research & Experimentation

The gold standard GPU for ML research. Run the latest papers' code without worrying about memory constraints.

A100 80GB Performance Benchmarks

Relative performance scores across common workload categories (B200 = 100).

Training78/100
Inference76/100
Fine-Tuning85/100
Rendering52/100

Deploy A100 80GB via API

Programmatically launch a A100 80GB instance with a single API call.

terminal
curl -X POST https://api.voltagegpu.com/v1/pods \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "gpu": "a100-80gb",
    "gpu_count": 1,
    "template": "pytorch-2.2",
    "storage_gb": 200,
    "name": "my-a100-80gb-instance"
  }'

A100 80GB — Frequently Asked Questions

Can the A100 80GB run LLaMA 70B?+
Yes. With 4-bit quantization (GPTQ or AWQ), LLaMA 70B requires approximately 35-40 GB VRAM for inference, fitting comfortably on a single A100 80GB. For full-precision fine-tuning of 70B models, you would need 2-4 A100 80GB GPUs.
Is the A100 80GB better than two RTX 4090s?+
For training, yes. The A100 80GB offers continuous 80 GB of memory on a single GPU, NVLink for multi-GPU scaling, higher memory bandwidth (2,039 GB/s vs 1,008 GB/s), and ECC memory for reliability. Two RTX 4090s give you 48 GB total but split across two devices, requiring model parallelism even for models that fit in 30 GB.
How does per-minute billing work on VoltageGPU?+
You are billed per minute of active compute time. An A100 80GB at $3.76/hr costs approximately $0.063/min. When you stop your pod, billing stops immediately. There are no minimum commitments or reserved instance requirements.
What interconnect is available for multi-A100 setups?+
Multi-GPU A100 80GB pods use NVLink 3.0 with 600 GB/s bidirectional bandwidth between GPUs. For 8-GPU pods, a fully connected NVLink topology ensures maximum throughput for all-reduce operations during distributed training.
Can I attach persistent storage to my A100 instance?+
Yes. Each A100 80GB pod includes 200 GB NVMe SSD by default. You can attach persistent network volumes up to 2 TB that survive pod restarts, perfect for storing large datasets and model checkpoints.

A100 80GB — Related Resources

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Full Pricing Details

View pricing for all GPU models and AI inference API with no hidden fees.

Browse Available GPU Pods

See real-time GPU availability and deploy a pod in under 60 seconds.

Start using the A100 80GB today

Deploy a A100 80GB instance in 30 seconds. No upfront costs, no long-term contracts. Per-minute billing starting at $3.76/hr.

Deploy A100 80GB Now