Compute Comparison
NVIDIAAda Lovelace2022

RTX 4080

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Current median: $0.50/hr across 3 providers (observed), 0.00 (0.0%) vs yesterday. Typical range: $0.48–$0.50/hr (P10–P90). 30-day trend unlocks after 30 days of captures

TDP 320W · 97.5 TFLOPS · 16GB VRAM · 717 GB/s bandwidth

The RTX 4080 has a 320W TDP, 97.5 TFLOPS of FP16 compute, 16GB of GDDR6X VRAM, 717 GB/s memory bandwidth.

Mid-tier Ada Lovelace. 16GB VRAM limits model size but strong FP32 at a lower price than 4090.

VRAM
16GB
GDDR6X
FP16
97.5
TFLOPS
Bandwidth
717.0
GB/s
TDP
320W
power
Best for:Budget inferenceSmall model fine-tuningCost-efficient serving

RTX 4080 currently rents for a median of $0.50/hr across 3 providers (observed on-demand prices). RTX 4080 has 16GB 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.

RTX 4080 Overview

The RTX 4080 is an Ada Lovelace consumer GPU with 16GB of GDDR6X, 97.5 TFLOPS of FP16/BF16 performance, and strong 48.7 TFLOPS FP32 capability. It offers useful acceleration for local experimentation and image generation at a lower tier than the RTX 4090.

Its 717 GB/s bandwidth is adequate for small models that fit wholly in 16GB, but capacity is the primary constraint. A 16GB pool leaves limited room beyond a 7B-class FP16 model once runtime memory is included, so quantization, small batch sizes, or smaller models are often required for language-model work.

The RTX 4080 is best for budget inference, compact fine-tunes, and creative AI workloads that can tolerate consumer reliability. It has neither ECC nor NVLink, ruling it out for pooled-memory configurations and making it a weaker choice for long-running, critical production services.

Memory

VRAM16 GB
Memory TypeGDDR6X
Bandwidth717 GB/s

Compute Performance

FP3248.7 TFLOPS
FP1697.5 TFLOPS
BF1697.5 TFLOPS
INT8195 TOPS

Hardware Specifications

Chip

ArchitectureAD103
GenerationAda Lovelace
Process NodeTSMC 4N
Transistors45.9B
Die Size379 mm²
Release DateNovember 16, 2022
Launch MSRP$1,199

Processors

CUDA / Shader Cores9,728
Tensor Cores304
RT Cores76

Clocks

Base Clock2,205 MHz
Boost Clock2,505 MHz

Memory

VRAM16 GB
Memory TypeGDDR6X
Memory Bus256-bit
Bandwidth717 GB/s
L2 Cache64 MB

Power

TDP320 W
InterconnectPCIe 4.0

Relative Performance

FP16 Compute1%
VRAM Capacity6%
Mem Bandwidth4%

Relative to highest-spec GPU in database

Limitations

Only 16GB VRAM — limits to ~7B models at FP16
No NVLink or ECC memory
Consumer-grade reliability — not suited for 24/7 production

Live Cloud PricingOn-demand hourly rates

Live4 providers · 117% price spread
ProviderOn-DemandSpotRegionAvailability
$0.23/hr—CHunknown
$0.50/hr—EU/USunknown
$0.48/hr—Variousunknown
$0.50/hr—USunknown
Cheapest / month
$168
$0.23/hr × 730h
Median / month
$350
at median price
Spot savings
N/A
vs on-demand (best)

Job Cost Estimator

At median $0.50/hr across 3 providers (observed on-demand). Spot pricing typically 40–70% lower.

7B LLM fine-tune
8× GPU, 24 h · Full fine-tune, single node
$96
spot ~$43
70B LLM fine-tune
64× GPU, 72 h · Multi-node, 3-day run
$2.3k
spot ~$1.0k
Inference server
1× GPU, 730 h · 1 month continuous
$365
spot ~$164
Image gen batch
4× GPU, 8 h · Batch generation job
$16
spot ~$7

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

Compare RTX 4080 vs…

Use Case Guidance

Budget inference
Small model fine-tuning
Cost-efficient serving

LLM Model Size Guidance

Max model (FP16)~8Bparameters at FP16 precision
Max model (INT8)~16Bparameters at INT8 precision
Max model (INT4)~32Bparameters at INT4/GGUF

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

Related Guides

LLM APIs Running on This GPU Class

Providers that serve frontier LLM inference on Ada Lovelace-class hardware.

Browse all 42 LLM models

RTX 4080 vs Alternatives — Spec Comparison

SpecRTX 4080 thisRTX 4500 AdaQuadro RTX 5000 16GBTITAN V 12GB
VRAM16GB GDDR6X24GB GDDR6▲16GB GDDR612GB HBM2
Memory Bandwidth717 GB/s▲432 GB/s448 GB/s653 GB/s
FP16 TFLOPS97.597.489.2110▲
BF16 TFLOPS97.597.489.2110▲
FP8 TFLOPS————
INT8 TOPS195195178.4220▲
TDP320W▲210W265W250W
Process NodeTSMC 4NTSMC 4NTSMC 12nm▲TSMC 12nm▲
ArchitectureAD103AD104▲TU104▲GV100
Release Year20222023▲20182017
Max model (FP16)~8B params~12B params▲~8B params~6B params
Max model (INT4)~32B params~48B params▲~32B params~24B 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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RTX 4080 Frequently Asked Questions

What is the RTX 4080 TDP?

The RTX 4080 has a TDP (Thermal Design Power) of 320W.

How many TFLOPS does the RTX 4080 have?

The RTX 4080 delivers 97.5 TFLOPS of FP16 compute and 97.5 TFLOPS BF16.

How much VRAM does the RTX 4080 have?

The RTX 4080 has 16GB of GDDR6X VRAM.

What is the RTX 4080's memory bandwidth?

The RTX 4080 has a memory bandwidth of 717 GB/s.

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