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Ada Lovelace

NVIDIA RTX 6000 Ada

wins

4

The RTX 6000 Ada is NVIDIA's professional workstation GPU with 48GB GDDR6 and 364 TFLOPS FP16.

Professional inferenceFine-tuningWorkstation AI

Ada Lovelace

NVIDIA RTX 4090

wins

1

The RTX 4090 is the most cost-effective consumer GPU for AI workloads. At $0.40–$0.80/hr on GPU clouds, it's ideal for fine-tuning and small-model inference.

Fine-tuningSmall model inferenceCost-effective compute

Performance comparison

Visual bars — winner highlighted

NVIDIA RTX 6000 Ada

Metric

NVIDIA RTX 4090

FP16 TFLOPS

364 T
165 T

Bandwidth

960 GB/s
1.0k GB/s

VRAM

486 GB
246 GB

TDP (lower=better)

300 W
450 W

TFLOPS/watt

1.21
0.37

GB/s per watt

3.20
2.24

Full specification table

SpecNVIDIA RTX 6000 AdaNVIDIA RTX 4090
ArchitectureAda LovelaceAda Lovelace
VRAM48 GB GDDR624 GB GDDR6X
VRAM typeGDDR6GDDR6X
Memory bandwidth960 GB/s1,008 GB/s
FP16 TFLOPS364 TFLOPS165 TFLOPS
TDP300 W450 W
TFLOPS/watt1.21 T/W0.37 T/W
GB/s per watt3.20 GB/s/W2.24 GB/s/W
NVLinkNoNo
Release year20222022

Live cloud pricing

On-demand $/hr across providers — updated in real time

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Power efficiency analysis

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

NVIDIA RTX 6000 Ada

FP16 TFLOPS364 TFLOPS
TDP300 W
TFLOPS/watt1.213 T/W
GB/s per watt3.20 GB/s/W

NVIDIA RTX 4090

FP16 TFLOPS165 TFLOPS
TDP450 W
TFLOPS/watt0.367 T/W
GB/s per watt2.24 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 RTX 6000 Ada for:

  • Professional inference
  • Fine-tuning
  • Workstation AI

Choose NVIDIA RTX 4090 for:

  • Fine-tuning
  • Small model inference
  • Cost-effective compute