Compute Comparison
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Ampere

NVIDIA A10

wins

0

The NVIDIA A10 is a versatile Ampere GPU with 24GB GDDR6 and 150W TDP.

InferenceGraphics renderingVirtual workstations

Ampere

NVIDIA A10G

wins

0

The NVIDIA A10G is the AWS-specific variant of the A10, available on g5 instances.

AWS inferenceGraphics workloadsMulti-tenant AI

Performance comparison

Visual bars — winner highlighted

NVIDIA A10

Metric

NVIDIA A10G

FP16 TFLOPS

125 T
125 T

Bandwidth

600 GB/s
600 GB/s

VRAM

246 GB
246 GB

TDP (lower=better)

150 W
150 W

TFLOPS/watt

0.83
0.83

GB/s per watt

4.00
4.00

Full specification table

SpecNVIDIA A10NVIDIA A10G
ArchitectureAmpereAmpere
VRAM24 GB GDDR624 GB GDDR6
VRAM typeGDDR6GDDR6
Memory bandwidth600 GB/s600 GB/s
FP16 TFLOPS125 TFLOPS125 TFLOPS
TDP150 W150 W
TFLOPS/watt0.83 T/W0.83 T/W
GB/s per watt4.00 GB/s/W4.00 GB/s/W
NVLinkNoNo
Release year20212021

Live cloud pricing

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Power efficiency analysis

TFLOPS/watt and GB/s/watt — critical for data center TCO

NVIDIA A10

FP16 TFLOPS125 TFLOPS
TDP150 W
TFLOPS/watt0.833 T/W
GB/s per watt4.00 GB/s/W

NVIDIA A10G

FP16 TFLOPS125 TFLOPS
TDP150 W
TFLOPS/watt0.833 T/W
GB/s per watt4.00 GB/s/W

TFLOPS/watt measures compute efficiency — how much AI throughput you get per watt of power consumed. For data centers with PUE of 1.2–1.5, a 10% improvement in TFLOPS/watt translates directly to lower electricity costs and cooling requirements. GB/s/watt measures memory bandwidth efficiency, which is the binding constraint for memory-bound LLM inference workloads.

When to choose each GPU

Choose NVIDIA A10 for:

  • Inference
  • Graphics rendering
  • Virtual workstations

Choose NVIDIA A10G for:

  • AWS inference
  • Graphics workloads
  • Multi-tenant AI