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

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Consumer · Blackwell · launched 2025 · prices checked 2026-09-03

Rent NVIDIA RTX 5060 — 8 GB, $0.062/hr on-demand

  • VRAM 8 GBGDDR7
  • FP16 tensor 74TFLOPS
  • PowerScore 52RTX 3090 = 100
  • Configs 1–8×PCIe 5.0
  • Online now 17 3 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: 2026-09-10.

NVIDIA RTX 5060 8 GB cloud GPU for rent

Consumer · Blackwell architecture

A cost-efficient card for right-sized jobs: batch inference, smaller models, CI pipelines and experiments where a flagship would idle. Per-second billing makes it perfect for short bursts.

NVIDIA RTX 5060 specs: VRAM, TFLOPS, bandwidth

GPU modelNVIDIA RTX 5060 ArchitectureBlackwell (2025)
VRAM8 GB GDDR7 Memory bandwidth448 GB/s
FP16 tensor perf.74 TFLOPS FP32 perf.19.2 TFLOPS
CUDA cores3,840 TDP145 W
PowerScore (RTX 3090 = 100)52 PCIe generationGen 5.0
Multi-GPU1× – 8× Max instance storage2,000 GB NVMe
Network up to2,500 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 5060 price per hour: on-demand, interruptible, reserved

One public rule sets every price on this page: the marketplace median for the RTX 5060 ($0.09/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.062, 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$0.062 $1.49$45 Guaranteed capacity, price locked at deploy, stop anytime
Interruptible$0.031 $0.74$23 Flat −50%; may pause under capacity pressure, disk kept, auto-requeue
Reserved (3 months)$0.040 $0.96$29 −35% on on-demand, rate locked for the term, capacity held

Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.

What you can run on a RTX 5060 (8 GB VRAM)

With 8 GB of GDDR7, a single card holds a ~3B-parameter LLM in FP16 or up to ~8B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.062.

RTX 5060 availability by region

17 × RTX 5060 across 3 machines, live from inventory:

  • AU Sydney
  • CA Montréal
  • IL Tel Aviv

RTX 5060 vs alternatives: price per TFLOP

GPUVRAMFP16 On-demand$ / TFLOP-hr
RTX 5060 this card 8 GB74 $0.062 $0.84‰
RTX 5060 Ti 16 GB92 $0.079 $0.86‰
RTX 5070 12 GB123 $0.089 $0.72‰
RTX 5070 Ti 16 GB176 $0.112 $0.64‰
RTX 5080 16 GB225 $0.140 $0.62‰

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

Renting a RTX 5060: frequently asked questions

How much does it cost to rent an NVIDIA RTX 5060 per hour?

$0.062 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.09. Interruptible capacity costs $0.031/hr and a 3-month reservation $0.040/hr. Around $45/month if you keep one running non-stop, billed per second.

What can a RTX 5060 with 8 GB VRAM run?

In LLM terms, roughly a 3B-parameter model in FP16 or up to ~8B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.

Is the RTX 5060 available to rent right now?

Yes — 17 GPUs across 3 machines in 3 regions are listed as we render this page. Configurations go from 1× to 8×. Deploy from the console and it is running in about 30 seconds.

How do I deploy a RTX 5060?

Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 5060, 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-5060 --template pytorch.

Why is the RTX 5060 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 2026-09-10) 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.