Compute Comparison
NVIDIAAmpere2020

A100 40GB

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Current median: $1.42/hr across 22 providers (observed), 0.00 (0.0%) vs yesterday. Typical range: $0.96–$6.05/hr (P10–P90). 30-day trend unlocks after 30 days of captures

TDP 300W · 312 TFLOPS · 40GB VRAM · 1555 GB/s bandwidth

The A100 40GB has a 300W TDP, 312 TFLOPS of FP16 compute, 40GB of HBM2e VRAM, 1555 GB/s memory bandwidth.

Same compute as 80GB variant but half the VRAM. Lower cost, suitable for models up to ~30B params.

VRAM
40GB
HBM2e
FP16
312.0
TFLOPS
Bandwidth
1.6k
GB/s
TDP
300W
power
Best for:ML trainingMid-size model inferenceResearch

A100 40GB currently rents for a median of $1.42/hr across 22 providers (observed on-demand prices). A100 40GB has 40GB of memory. Compare its specs and listed cloud rental prices below. The workload must fit in VRAM with room for runtime memory; a listed price does not confirm stock.

A100 40GB Overview

The A100 40GB is the smaller-memory version of NVIDIA’s Ampere workhorse, retaining the GA100 Tensor Core design and 312 TFLOPS of FP16/BF16 throughput. It offers 40GB of HBM2e, 1,555 GB/s of bandwidth, and NVLink 3.0 support, making it a mature option for research and production workloads that do not need 80GB per card.

Forty gigabytes can accommodate roughly a 20B-parameter model at FP16 before allowing for activations and cache, while 1,555 GB/s gives it far more inference bandwidth than GDDR-based cards in its price band. NVLink 3.0 can connect cards for distributed training or model parallelism, though a single card cannot make a larger model fit by itself.

The A100 40GB is well suited to mid-size training, established CUDA pipelines, and inference where Ampere software maturity matters. It lacks Hopper’s FP8 Transformer Engine, and its lower bandwidth and capacity make it less compelling for large-context or very large-model serving.

Memory

VRAM40 GB
Memory TypeHBM2e
Bandwidth1555 GB/s
NVLink BW600 GB/s

Compute Performance

FP649.7 TFLOPS
FP3219.5 TFLOPS
FP16312 TFLOPS
BF16312 TFLOPS
INT8624 TOPS

Hardware Specifications

Chip

ArchitectureGA100
GenerationAmpere
Process NodeTSMC 7nm
Transistors54.2B
Die Size826 mm²
Release DateJune 22, 2020

Processors

CUDA / Shader Cores6,912
Tensor Cores432

Clocks

Boost Clock1,410 MHz

Memory

VRAM40 GB
Memory TypeHBM2e
Memory Bus3200-bit
Bandwidth1555 GB/s
L2 Cache40 MB
NVLink BW600 GB/s

Power

TDP300 W
InterconnectNVLink 3.0 / PCIe 4.0

Relative Performance

FP16 Compute4%
VRAM Capacity14%
Mem Bandwidth10%

Relative to highest-spec GPU in database

Limitations

Only 40GB VRAM — limits to ~30B models at FP16
No FP8 support — lower throughput than H100 for transformer workloads
Lower memory bandwidth than 80GB SXM4 variant

Live Cloud PricingOn-demand hourly rates

Live29 providers · -80% price spread
ProviderOn-DemandSpotRegionAvailability
$7.90/hr—us-east-1unknown
$0.90/hr—USunknown
$1.98/hr—INunknown
$1.42/hr—US/EUunknown
$2.19/hr—USunknown
$3.58/hr—cn-east-1unknown
$5.60/hr—EU/USunknown
$1.10/hr—EU-Westunknown
$1.45/hr—USunknown
$1.35/hr—US-Westunknown
$1.20/hr—USunknown
$1.10/hr—USunknown
$3.67/hr—us-central1unknown
$1.29/hr—USunknown
$1.10/hr—USunknown
$6.10/hr—US/EU/BRunknown
$1.93/hr—Phoenix, AZ, United States, Dulles, VA, United States, New York, NY, United States, Calgary, Canada, Helsinki, Finland, San Jose, CA, United Statesunknown
$1.09/hr—us-east-1unknown
$2.10/hr—us-eastunknown
$1.99/hr—us-west-1unknown
$7.30/hr—US/EU/APACunknown
$4.90/hr—US/EU/APACunknown
$0.95/hr—USunknown
$0.65/hr—eu-north1unknown
$0.65/hr—EU/USunknown
$1.60/hr—EU-Centralunknown
$10.24/hr—us-east-1unknown
$0.29/hr—EU-Southunknown
$1.56/hr—EU-Northunknown
Cheapest / month
$5767
$7.90/hr × 730h
Median / month
$803
at median price
Spot savings
N/A
vs on-demand (best)

Job Cost Estimator

At median $1.42/hr across 22 providers (observed on-demand). Spot pricing typically 40–70% lower.

7B LLM fine-tune
8× GPU, 24 h · Full fine-tune, single node
$273
spot ~$123
70B LLM fine-tune
64× GPU, 72 h · Multi-node, 3-day run
$6.5k
spot ~$2.9k
Inference server
1× GPU, 730 h · 1 month continuous
$1.0k
spot ~$466
Image gen batch
4× GPU, 8 h · Batch generation job
$45
spot ~$20

Estimates only. Actual cost depends on provider, region, availability, and utilization. Use the GPU cost calculator for custom inputs.

Compare A100 40GB vs…

Use Case Guidance

ML training
Mid-size model inference
Research

LLM Model Size Guidance

Max model (FP16)~20Bparameters at FP16 precision
Max model (INT8)~40Bparameters at INT8 precision
Max model (INT4)~80Bparameters at INT4/GGUF

Estimates only. Actual capacity depends on context length, KV cache, and framework overhead.

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Browse all 42 LLM models

A100 40GB vs Alternatives — Spec Comparison

SpecA100 40GB thisA100 80GBA100 SXM4 80GBA100 PCIe 80GB
VRAM40GB HBM2e80GB HBM2e▲80GB HBM2e▲80GB HBM2e▲
Memory Bandwidth1555 GB/s2000 GB/s▲2000 GB/s▲1935 GB/s
FP16 TFLOPS312▲312▲312▲312▲
BF16 TFLOPS312▲312▲312▲312▲
FP8 TFLOPS————
INT8 TOPS624▲624▲624▲624▲
TDP300W400W▲400W▲300W
Process NodeTSMC 7nm▲TSMC 7nm▲TSMC 7nm▲TSMC 7nm▲
ArchitectureGA100▲GA100▲GA100▲GA100▲
Release Year2020202020202021▲
Max model (FP16)~20B params~40B params▲~40B params▲~40B params▲
Max model (INT4)~80B params~160B params▲~160B params▲~160B params▲
▲ indicates best value in row · FP16/BF16 TFLOPS at full precision · Max model estimates at 2 bytes/param (FP16) and 0.5 bytes/param (INT4)Full side-by-side comparison

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A100 40GB Frequently Asked Questions

What is the A100 40GB TDP?

The A100 40GB has a TDP (Thermal Design Power) of 300W.

How many TFLOPS does the A100 40GB have?

The A100 40GB delivers 312 TFLOPS of FP16 compute and 312 TFLOPS BF16.

How much VRAM does the A100 40GB have?

The A100 40GB has 40GB of HBM2e VRAM.

What is the A100 40GB's memory bandwidth?

The A100 40GB has a memory bandwidth of 1555 GB/s.

A100 40GB User Reviews

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