GPU Type

NVIDIA A100 GPU Cloud Providers

Q: What can I use NVIDIA A100 cloud for?

NVIDIA A100 is commonly used for: LLM fine-tuning, distributed training, AI inference at scale. Its 40 GB / 80 GB HBM2e of VRAM makes it suitable for running large models that don't fit in smaller GPU memory.

Q: How much does NVIDIA A100 cloud cost per hour?

NVIDIA A100 cloud pricing varies by provider and region, but typically ranges from $1.50/hr to $8/hr for single-GPU instances. Multi-GPU cluster pricing scales proportionally. Use the filters above to compare current market rates.

Q: Which providers offer A100 GPU cloud in 2026?

ComputeStacker currently lists 20 providers offering A100 GPU cloud access. These include a mix of hyperscalers, specialist AI cloud providers, and bare-metal GPU hosting services.

Q: Can I rent A100 GPUs on-demand?

Yes — most providers on ComputeStacker offer on-demand hourly pricing for A100 instances. Reserved and spot pricing options are also available from many providers, offering discounts of 30–70% for committed usage.

Compare 20 cloud providers offering NVIDIA A100 (40 GB / 80 GB HBM2e VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.

Memory40 GB / 80 GB HBM2e

FP16 Performance312 TFLOPS

Memory Bandwidth2 TB/s

Providers Listed20+

Rent NVIDIA A100 — Get Quotes

What is the NVIDIA A100?

The NVIDIA A100 is the industry backbone of enterprise AI compute, widely used by OpenAI, DeepMind, and thousands of AI labs. Available in 40 GB and 80 GB variants, the A100 offers exceptional performance across training and inference workloads with mature software ecosystem support.

Primary Use Cases for NVIDIA A100

LLM fine-tuning
distributed training
AI inference at scale

Pricing Benchmark for NVIDIA A100 in 2026

The spot market for A100 cloud compute varies widely by provider. On-demand pricing typically ranges from $1.50–$5/hr per GPU for single-instance access. For larger multi-GPU clusters (8x, 16x, or 64x GPU nodes), enterprise pricing with SLAs is negotiated directly with providers. Reserved capacity offers 30–60% discounts vs. on-demand pricing.

How to Choose a NVIDIA A100 Cloud Provider

When evaluating providers for A100 GPU cloud, consider:

Pricing model: On-demand vs. reserved vs. spot pricing
Cluster size: Maximum number of GPUs per node and interconnect bandwidth
Storage: NVMe SSD throughput and object storage availability
Networking: InfiniBand vs. Ethernet interconnect for distributed training
Location: Data residency requirements and latency to your users
Support SLA: Response time guarantees and dedicated support options

20 Cloud Providers Offering NVIDIA A100

NVIDIA DGX Cloud

Available

Best for Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research

Locations: Global (via partner network)

$15.00/hr

9.8/10