Compute Comparison
NVIDIABlackwell2025

RTX 5090

See rental prices ↓

Current median: $1.19/hr across 7 providers (observed), 0.00 (0.0%) vs yesterday. Typical range: $0.73–$1.89/hr (P10–P90). 30-day trend unlocks after 30 days of captures

TDP 575W · 419.6 TFLOPS · 32GB VRAM · 1792 GB/s bandwidth

The RTX 5090 has a 575W TDP, 419.6 TFLOPS of FP16 compute, 32GB of GDDR7 VRAM, 1792 GB/s memory bandwidth.

Flagship consumer Blackwell GPU. Massive FP32 uplift over 4090. 32GB GDDR7 enables larger models. Best consumer GPU for AI workloads.

VRAM
32GB
GDDR7
FP16
419.6
TFLOPS
Bandwidth
1.8k
GB/s
TDP
575W
power
Best for:Consumer AI inferenceFine-tuning up to 30BHigh-throughput serving

RTX 5090 currently rents for a median of $1.19/hr across 7 providers (observed on-demand prices). RTX 5090 has 32GB 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 5090 Overview

The RTX 5090 is NVIDIA’s flagship consumer Blackwell GPU, pairing 32GB of GDDR7 with 419.6 TFLOPS of FP16/BF16 tensor throughput. Its PCIe 5.0 design and 575W power envelope put it in a very different class from prior consumer cards, but it remains a consumer product rather than a data-center accelerator.

Its 1,792 GB/s memory bandwidth is exceptionally high for a non-HBM card and helps feed inference workloads that would otherwise be bandwidth-bound. The 32GB capacity is enough for many 13B to 30B-class workflows with careful precision and batch-size choices, but it is still a fixed single-card memory ceiling because there is no NVLink or ECC protection.

This is a strong fit for high-throughput local inference, fine-tuning that fits in 32GB, and development environments where consumer economics are attractive. It is less appropriate for unattended, compliance-sensitive production infrastructure, very large FP16 models, or workloads that need pooled multi-GPU memory.

Memory

VRAM32 GB
Memory TypeGDDR7
Bandwidth1792 GB/s

Compute Performance

FP32209.8 TFLOPS
FP16419.6 TFLOPS
BF16419.6 TFLOPS
INT8839 TOPS

Hardware Specifications

Chip

ArchitectureGB202
GenerationBlackwell
Process NodeTSMC 4NP
Transistors92.2B
Die Size744 mm²
Release DateJanuary 30, 2025
Launch MSRP$1,999

Processors

CUDA / Shader Cores21,760
Tensor Cores680
RT Cores170

Clocks

Base Clock2,017 MHz
Boost Clock2,407 MHz

Memory

VRAM32 GB
Memory TypeGDDR7
Memory Bus512-bit
Bandwidth1792 GB/s
L2 Cache96 MB

Power

TDP575 W
InterconnectPCIe 5.0

Relative Performance

FP16 Compute6%
VRAM Capacity11%
Mem Bandwidth11%

Relative to highest-spec GPU in database

Limitations

Consumer GPU — no ECC memory, not suited for production data centers
No NVLink — cannot pool VRAM across cards
575W TDP requires high-end cooling infrastructure

Live Cloud PricingOn-demand hourly rates

Live8 providers · 109% price spread
ProviderOn-DemandSpotRegionAvailability
$0.57/hr—CHunknown
$2.78/hr—CNunknown
$0.74/hr—USunknown
$1.30/hr—EU/USunknown
$0.89/hr—Gdańsk, Poland, Saint-Malo, France, Austin, TX, United States, Casper, WY, United Statesunknown
$0.72/hr—CA-Centralunknown
$1.25/hr—Variousunknown
$1.19/hr—USunknown
Cheapest / month
$416
$0.57/hr × 730h
Median / month
$650
at median price
Spot savings
N/A
vs on-demand (best)

Job Cost Estimator

At median $1.19/hr across 7 providers (observed on-demand). Spot pricing typically 40–70% lower.

7B LLM fine-tune
8× GPU, 24 h · Full fine-tune, single node
$228
spot ~$103
70B LLM fine-tune
64× GPU, 72 h · Multi-node, 3-day run
$5.5k
spot ~$2.5k
Inference server
1× GPU, 730 h · 1 month continuous
$869
spot ~$391
Image gen batch
4× GPU, 8 h · Batch generation job
$38
spot ~$17

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

Compare RTX 5090 vs…

Use Case Guidance

Consumer AI inference
Fine-tuning up to 30B
High-throughput serving

LLM Model Size Guidance

Max model (FP16)~16Bparameters at FP16 precision
Max model (INT8)~32Bparameters at INT8 precision
Max model (INT4)~64Bparameters 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 Blackwell-class hardware.

Browse all 42 LLM models

RTX 5090 vs Alternatives — Spec Comparison

SpecRTX 5090 thisGaudi 2 96GBMI250X 128GBA100 80GB
VRAM32GB GDDR796GB HBM2e128GB HBM2e▲80GB HBM2e
Memory Bandwidth1792 GB/s2457 GB/s3277 GB/s▲2000 GB/s
FP16 TFLOPS419.6432▲383312
BF16 TFLOPS419.6432▲383312
FP8 TFLOPS————
INT8 TOPS839865▲383624
TDP575W600W▲560W400W
Process NodeTSMC 4NPTSMC 7nm▲TSMC 6nmTSMC 7nm▲
ArchitectureGB202▲Gaudi 2AldebaranGA100
Release Year2025▲202220212020
Max model (FP16)~16B params~48B params~64B params▲~40B params
Max model (INT4)~64B params~192B params~256B 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

Compare RTX 5090

Related GPUs

RTX 5090 Frequently Asked Questions

What is the RTX 5090 TDP?

The RTX 5090 has a TDP (Thermal Design Power) of 575W.

How many TFLOPS does the RTX 5090 have?

The RTX 5090 delivers 419.6 TFLOPS of FP16 compute and 419.6 TFLOPS BF16.

How much VRAM does the RTX 5090 have?

The RTX 5090 has 32GB of GDDR7 VRAM.

What is the RTX 5090's memory bandwidth?

The RTX 5090 has a memory bandwidth of 1792 GB/s.

RTX 5090 User Reviews

RTX 5090 User Reviews

Loading reviews...

Ready to rent?

Compare RTX 5090 prices across 130+ providers

Live on-demand & spot rates · monthly cost estimates · availability status

Compare rental prices