DecentralGPU.com
Ampere (GA100) architecture • 80 GB HBM2e

NVIDIA A100 (80GB SXM4) hourly pricing

The NVIDIA A100 80GB Ampere GPU remains the foundational workhorse for AI practitioners. Its 80 GB of high-bandwidth HBM2e memory easily accommodates large context windows and multi-gigabyte model weights without memory bottlenecks.

Starting from $1.15/hr on DePIN
Save up to 62% compared to AWS EC2

A100 price per hour across networks

Ranked from lowest hourly rate
NetworkNetwork typeHourly priceBilling typeStatusAudit date
Akash NetworkDePIN (Cosmos)
$1.15 / hr62% less than AWS
dynamic bidLast checked: 2026-10-01
2026-10-01Lease on Akash
io.netDePIN (Solana)
$1.20 / hr61% less than AWS
hourlyLast checked: 2026-09-30
2026-09-30Lease on io.net
AethirDePIN (Arbitrum)
$1.35 / hr56% less than AWS
hourlyLast checked: 2026-09-29
2026-09-29Lease on Aethir
Amazon Web Services (AWS)BenchmarkCentralized cloud
$3.06 / hr
hourlyLast checked: 2026-10-02
2026-10-02Lease on AWS
Render NetworkDePIN (Solana)
Not verified yetA100 instances on Render are assigned on an ad-hoc basis for enterprise partners; public flat per-hour rate not verified.
job basedNot verified yet
2026-10-01Lease on Render

NVIDIA A100 (80GB SXM4) technical specifications

ArchitectureAmpere (GA100)
Total VRAM80 GB HBM2e
Memory bandwidth2.039 TB/s
FP16 compute312 TFLOPS (dense) / 624 TFLOPS (sparse)
FP8 tensor computeN/A (Ampere lacks native FP8 Tensor Cores)
InterconnectNVLink 3.0 (600 GB/s bidirectional)
TDP400W (SXM4) / 250W (PCIe)

Optimal workloads

  • •Mid-Scale LLM Fine-Tuning (7B - 70B LoRA/QLoRA)
  • •High-Memory Computer Vision & Diffusion Models
  • •Enterprise Production Inference
  • •Scientific & Molecular Dynamics Simulations

Buyer advice

The A100 provides the best cost-to-stability ratio for teams running LoRA fine-tuning and production serving of models up to 34B parameters. At $1.15–$1.35/hr on decentralized clouds versus $3.06/hr on AWS EC2 p4d.24xlarge, decentralized A100s offer savings of over 55%.

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