datacenter
Rent Nvidia A100 40GB.
Ampere
40GB VRAM
400W
Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How is the Nvidia A100 40GB price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia A100 40GB cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia A100 40GB?
Depends on the model size. With 40GB of VRAM you can fine-tune 13B–34B models with LoRA, or run inference on 70B models at int4 quantization.
Spot vs on-demand on the Nvidia A100 40GB — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia A100 40GB?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia A100 40GB price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
AI models
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia A100 40GB.
DeepSeek R1 Distill Qwen 14B
by DeepSeek
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
15B
Context
128K tokens
Qwen 2.5 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
15B
Context
128K tokens
Qwen 3 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
15B
Context
128K tokens
Phi-4
by Microsoft
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
15B
Context
16K tokens
Phi-3 Medium
by Microsoft
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
128K tokens
LLaVA 13B
by LLaVA Project
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
13B
Context
4K tokens
Code Llama 13B
by Meta AI
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
13B
Context
16K tokens
DeepSeek Coder V2 Lite
by DeepSeek
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
16B (2B active)
Context
128K tokens
Baichuan2-13B
by Baichuan Inc.
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
13B
Context
4K tokens
Mistral: Ministral 3 14B 2512
by Mistral AI
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
262K tokens
Qwen: Qwen3 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
132K tokens
ReMM SLERP 13B
by Undi95
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
13B
Context
6K tokens
MythoMax 13B
by Gryphe
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
13B
Context
4K tokens
Cogito V1 Preview Qwen 14B
by Deepcogito
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
131K tokens
Deepcoder 14B Preview
by Togethercomputer
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
131K tokens
Qwen2.5 14B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
131K tokens
Qwen3 14B Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
33K tokens
Qwen 2.5 14B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
33K tokens
Ministral 3 14B Instruct 2512
by Mistral AI
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
14B
Context
262K tokens
Gemma 3 27B
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B (27B active)
Context
128K tokens
Gemma 2 27B
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Context
8K tokens
Qwen: Qwen3.6 27B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Context
262K tokens
Qwen: Qwen3.5-27B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Context
262K tokens
NVIDIA: Nemotron 3 Nano 30B A3B
by Nvidia
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
AllenAI: Olmo 3 32B Think
by Allen Institute for AI (AI2)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
66K tokens
Qwen: Qwen3 VL 32B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
262K tokens
Qwen: Qwen3 VL 30B A3B Thinking
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
131K tokens
Qwen: Qwen3 VL 30B A3B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
Tongyi DeepResearch 30B A3B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
131K tokens
Qwen: Qwen3 30B A3B Thinking 2507
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
131K tokens
Qwen: Qwen3 Coder 30B A3B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
160K tokens
Qwen: Qwen3 30B A3B Instruct 2507
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
Z.ai: GLM 4 32B
by Zhipu AI
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
128K tokens
Qwen: Qwen3 30B A3B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
131K tokens
Qwen: Qwen3 32B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
131K tokens
Baidu: ERNIE 4.5 VL 28B A3B
by Baidu
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
28B
Context
131K tokens
Qwen2.5 32B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
131K tokens
Nemotron 3 Nano Omni 30B A3b Reasoning Fp8
by Nvidia
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
131K tokens
Cogito V1 Preview Qwen 32B
by Deepcogito
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
131K tokens
Gemma 3 27B It
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Context
66K tokens
Qwen QwQ-32B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
131K tokens
Qwen 2.5 Coder 32B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
16K tokens
Qwen3 30B A3b Base
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
33K tokens
Gemma 3 27B Pt
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Qwen3 30B A3B Instruct 2507 Lora
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
Nvidia Nemotron 3 Nano 30B A3b Bf16
by Nvidia
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
Medgemma 27B Text It
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Context
131K tokens
Qwen2.5 32B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
33K tokens
Gemma 3 27B It Lora
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
27B
Gemma 4 31B It Lora
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
31B
Context
262K tokens
Nemotron-3-Nano-Omni-30B-A3B-Reasoning
by Nvidia
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
30B
Context
262K tokens
gemma-4-31B-it-turbo
by Google DeepMind
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
31B
Context
262K tokens
GLM-5.1
by Zhipu AI
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
203K tokens
ByteDance Seed: Seed-2.0-Lite
by Bytedance Seed
Required GPUs
1× Nvidia A100 40GB
Total VRAM
40 GB
Parameters
32B
Context
262K tokens
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How is the Nvidia A100 40GB price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia A100 40GB cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia A100 40GB?
Depends on the model size. With 40GB of VRAM you can fine-tune 13B–34B models with LoRA, or run inference on 70B models at int4 quantization.
Spot vs on-demand on the Nvidia A100 40GB — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia A100 40GB?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia A100 40GB price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.