Price floor Every GPU at least 30% below the market median — re-checked against the marketplace weekly.

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Workstation · Ada Lovelace · prices checked 2026-09-14

Rent NVIDIA RTX 4500Ada — 24 GB, $0.280/hr on-demand

  • VRAM 24 GBGDDR6
  • FP16 tensor 72TFLOPS
  • PowerScore 51RTX 3090 = 100
  • Configs 1–1×PCIe 3.0
  • Online now 10 0 regions

Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-09-21.

NVIDIA RTX 4500Ada 24 GB cloud GPU for rent

Workstation · Ada Lovelace architecture

Workstation silicon with ECC memory and studio-certified drivers. Renderers (Blender, Octane, Redshift), CAD and simulation get the large VRAM they want without paying datacenter-flagship rates — and per-second billing suits render queues perfectly.

NVIDIA RTX 4500Ada specs: VRAM, TFLOPS, bandwidth

GPU modelNVIDIA RTX 4500Ada ArchitectureAda Lovelace
VRAM24 GB GDDR6 Memory bandwidth
FP16 tensor perf.72 TFLOPS FP32 perf.
CUDA cores TDP
PowerScore (RTX 3090 = 100)51 PCIe generationGen 3.0
Multi-GPU1× – 1× Max instance storage0 GB NVMe
Network up to0 Mbps CUDA12.4 – 13.0

Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.

RTX 4500Ada price per hour: on-demand, interruptible, reserved

One public rule sets every price on this page: the marketplace median for the RTX 4500Ada ($0.40/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.280, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.

ModePer GPU-hour Per day (24 h)Per month (730 h)What you get
On-demand$0.280 $6.72$204 Guaranteed capacity, price locked at deploy, stop anytime
Interruptible$0.140 $3.36$102 Flat −50%; may pause under capacity pressure, disk kept, auto-requeue
Reserved (3 months)$0.182 $4.37$133 −35% on on-demand, rate locked for the term, capacity held

Per GPU: an 1× machine costs exactly 1× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.

What you can run on a RTX 4500Ada (24 GB VRAM)

With 24 GB of GDDR6, a single card holds a ~8B-parameter LLM in FP16 or up to ~32B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 1× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.280.

RTX 4500Ada availability by region

10 × RTX 4500Ada across 0 machines, live from inventory:

RTX 4500Ada vs alternatives: price per TFLOP

GPUVRAMFP16 On-demand$ / TFLOP-hr
RTX 4500Ada this card 24 GB72 $0.280 $3.89‰
RTX A6000 48 GB155 $0.281 $1.81‰
RTX PRO 4500 24 GB200 $0.273 $1.37‰
RTX 5000Ada 32 GB190 $0.369 $1.94‰
RTX PRO 4000 20 GB150 $0.183 $1.22‰

‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.

Renting a RTX 4500Ada: frequently asked questions

How much does it cost to rent an NVIDIA RTX 4500Ada per hour?

$0.280 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.40. Interruptible capacity costs $0.140/hr and a 3-month reservation $0.182/hr. Around $204/month if you keep one running non-stop, billed per second.

What can a RTX 4500Ada with 24 GB VRAM run?

In LLM terms, roughly a 8B-parameter model in FP16 or up to ~32B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 1× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.

Is the RTX 4500Ada available to rent right now?

Yes — 10 GPUs across 0 machines in 0 regions are listed as we render this page. Configurations go from 1× to 1×. Deploy from the console and it is running in about 30 seconds.

How do I deploy a RTX 4500Ada?

Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 4500Ada, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu rtx-4500ada --template pytorch.

Why is the RTX 4500Ada cheaper here than on GPU marketplaces?

We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-21) and published — no auctions, no per-host roulette, no bidding.

Deploy your first GPU in under a minute

Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.