NVIDIA RTX 2000 Ada 16GB cloud GPU
RTX 2000 Ada: 16 GB of GDDR6 memory per GPU, Ada Lovelace architecture. Rent it by the hour on the EverXCloud spot exchange, at the live price set by sellers and buyers.
- Best live price
- No offer listed
- GPU memory
- 16 GB GDDR6
- Architecture
- Ada Lovelace
- Max power
- 70 W
RTX 2000 Ada on the spot exchange
No offer is listed for this model right now.
No RTX 2000 Ada product is listed on the spot exchange right now. Tell us the quantity and the dates you need: we look for this capacity across the EverXCloud Network.
Request this capacityRTX 2000 Ada specifications
| GPU memory | 16 GB |
|---|---|
| Memory type | GDDR6 |
| Max power | 70 W |
| Architecture | Ada Lovelace |
| Interconnect | PCIe 4.0 |
Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.
Recommended uses
- Fine-tuning
Parameter-efficient fine-tuning (LoRA, QLoRA) of open models that fit in memory with 4-bit quantization.
- LLM inference
Language models up to about 6 billion parameters in 16-bit precision, or about 20 billion with 4-bit quantization.
- Image generation
Image and video diffusion models; larger models and higher resolutions need more GPU memory.
- 3D rendering
Ray-traced rendering, visual effects and simulation, with dedicated ray-tracing cores.
Cautious estimates for this product (16 GB of GPU memory in total), counting 80% of memory for model weights. Real limits depend on context length, batch size and framework.
Workloads for the RTX 2000 Ada
- GPUs for fine-tuning open models
LoRA and QLoRA adapters on a single GPU, from 24 GB up.
- GPUs for LLM inference
Serve open models: what fits in memory, and how fast tokens come.
- GPUs for image and video generation
Diffusion models for images and video, from 24 GB cards to 80 GB GPUs.
- GPUs for 3D rendering and visual effects
Ray-traced rendering, visual effects and real-time engines.
GPUs similar to the RTX 2000 Ada
| GPU | From/h |
|---|---|
| RTX A400016 GB GDDR6 · Ampere | $0.10 |
| RTX A200012 GB GDDR6 · Ampere | $0.10 |
| RTX PRO 2000 Blackwell16 GB GDDR7 · Blackwell | On request |
| RTX 4000 Ada20 GB GDDR6 · Ada Lovelace | On request |
| RTX 4000 SFF Ada20 GB GDDR6 · Ada Lovelace | On request |
| RTX A450020 GB GDDR6 · Ampere | On request |
RTX 2000 Ada: frequently asked questions
How much does it cost to rent the RTX 2000 Ada?
No offer is listed right now. Request this capacity and we look for it across the EverXCloud Network; in the portal, you can also place a request at the price you are willing to pay.
How much memory does RTX 2000 Ada have?
16 GB of GDDR6 memory per GPU.
Which AI models can I run on RTX 2000 Ada?
As a cautious estimate, this product (16 GB of GPU memory in total) runs language models up to about 6 billion parameters in 16-bit precision, or about 20 billion with 4-bit quantization. Context length, batch size and framework change the real limit.
Can I rent several RTX 2000 Ada GPUs together?
Servers with several GPUs are listed as separate products on the spot exchange when sellers offer them, for example 2, 4 or 8 GPUs. For a larger quantity or fixed dates, request this capacity.
How is RTX 2000 Ada rental billed?
By the hour. You buy rental hours on the spot exchange, up to 720 hours per order, and pay them from your prepaid balance. Prices are shown excluding tax, and EverXCloud is the merchant of record for every rental.
Which currencies and payment methods can I use?
Euros, US dollars or pounds, each with its own balance, never converted. Top up by card; SEPA bank transfer may be offered to business accounts on request. A receipt is issued for every top-up and an invoice, with VAT or sales tax where it applies, for every rental.
Is buying GPU hours on the spot exchange a financial product?
No. You buy hours of GPU rental to use them: no derivatives, no leverage, no transferable credits.
Plan your GPU rental
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Check the workload, complete configuration and billing conditions before choosing a live offer.
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