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Workstation · Ada Lovelace · launched 2024 · prices checked 2026-09-03

Rent NVIDIA RTX 5880Ada — 48 GB, $0.290/hr on-demand

  • VRAM 48 GBGDDR6
  • FP16 tensor 340TFLOPS
  • PowerScore 239RTX 3090 = 100
  • Configs 1–8×PCIe 4.0
  • Online now 8 2 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 5880Ada 48 GB cloud GPU for rent

Workstation · Ada Lovelace architecture

The RTX 5880 Ada sits between the RTX 5000 Ada and RTX 6000 Ada: 48 GB ECC GDDR6 with 14,080 CUDA cores. It offers RTX 6000 Ada memory capacity at a lower rate — a quiet bargain for VRAM-bound rendering and inference.

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 5880Ada specs: VRAM, TFLOPS, bandwidth

GPU modelNVIDIA RTX 5880Ada ArchitectureAda Lovelace (2024)
VRAM48 GB GDDR6 Memory bandwidth960 GB/s
FP16 tensor perf.340 TFLOPS FP32 perf.69.3 TFLOPS
CUDA cores14,080 TDP285 W
PowerScore (RTX 3090 = 100)239 PCIe generationGen 4.0
Multi-GPU1× – 8× Max instance storage8,000 GB NVMe
Network up to10,000 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 5880Ada price per hour: on-demand, interruptible, reserved

One public rule sets every price on this page: the marketplace median for the RTX 5880Ada ($0.41/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.290, 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$0.290 $6.96$212 Guaranteed capacity, price locked at deploy, stop anytime
Interruptible$0.145 $3.48$106 Flat −50%; may pause under capacity pressure, disk kept, auto-requeue
Reserved (3 months)$0.188 $4.51$137 −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 5880Ada (48 GB VRAM)

With 48 GB of GDDR6, a single card holds a ~14B-parameter LLM in FP16 or up to ~72B 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 $0.290.

RTX 5880Ada availability by region

8 × RTX 5880Ada across 2 machines, live from inventory:

  • SG Singapore
  • US Seattle, WA

RTX 5880Ada vs alternatives: price per TFLOP

GPUVRAMFP16 On-demand$ / TFLOP-hr
RTX 5880Ada this card 48 GB340 $0.290 $0.85‰
RTX A6000 48 GB155 $0.281 $1.81‰
RTX 5000Ada 32 GB190 $0.262 $1.38‰
RTX PRO 4500 24 GB200 $0.210 $1.05‰
RTX PRO 4000 20 GB150 $0.181 $1.21‰

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

Renting a RTX 5880Ada: frequently asked questions

How much does it cost to rent an NVIDIA RTX 5880Ada per hour?

$0.290 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.41. Interruptible capacity costs $0.145/hr and a 3-month reservation $0.188/hr. Around $212/month if you keep one running non-stop, billed per second.

What can a RTX 5880Ada with 48 GB VRAM run?

In LLM terms, roughly a 14B-parameter model in FP16 or up to ~72B 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 5880Ada available to rent right now?

Yes — 8 GPUs across 2 machines in 2 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 5880Ada?

Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 5880Ada, 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-5880ada --template pytorch.

Why is the RTX 5880Ada 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

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