Nvidia RTX 5000 Ada
Mid-range Ada Lovelace professional GPU for AI and visualization.
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The RTX 5000 Ada is available at 1 cloud provider for a flat rate of $0.49/hr per GPU.
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| Provider | GPUs | Total VRAM | vCPUs | RAM | Billing | $/GPU/h | Total/h | Availability | |
|---|---|---|---|---|---|---|---|---|---|
Runpod
|
1x RTX 5000 Ada 1x RTX 5000 Ada 32GB (community-cloud) | 32GB | 8 | 32GB | On-Demand Pay-as-you-go pricing. No term commitments. | $0.49 | $0.49 | Available | View |
| No offerings matching your filters. | |||||||||
Heads up: We do our best to keep these prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates with the provider before provisioning.
Frequently Asked Questions
Why choose the RTX 5000 Ada?
32GB GDDR6 with Ada Lovelace FP8 support. Professional GPU with ECC memory. Suitable for AI development and mid-range visualization.
When is the RTX 5000 Ada not a good fit?
Workstation pricing premium over consumer and data center alternatives. The L4 or L40S are better choices for dedicated cloud AI workloads.
Are RTX 5000 Ada prices going up or down?
On-demand pricing has increased by about 15% since January 2026, from $0.41 to $0.47/hr per GPU.
What size AI models can the RTX 5000 Ada run?
With 32GB of VRAM, the RTX 5000 Ada can typically run 7B to 13B models in FP16, or larger models in 4-bit quantized form.
How much VRAM does the RTX 5000 Ada have?
The RTX 5000 Ada has 32GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
What is the RTX 5000 Ada's memory bandwidth?
The RTX 5000 Ada has 576 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
What data types does the RTX 5000 Ada support?
The RTX 5000 Ada supports 6 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP8, INT8.
Does the RTX 5000 Ada support NVLink?
No. The RTX 5000 Ada is a PCIe-only GPU with no NVLink, so it is better suited to single-GPU inference and smaller-scale workloads than large distributed training jobs.
How much does the RTX 5000 Ada cost per hour?
RTX 5000 Ada pricing is currently $0.49/hr per GPU.
How much does the RTX 5000 Ada cost per month?
At 720 hours per month, one RTX 5000 Ada currently costs about $352.80/mo.
Which cloud providers offer the RTX 5000 Ada?
The RTX 5000 Ada is available from 1 cloud provider: Runpod.
Can I rent the RTX 5000 Ada in the cloud?
Yes. We currently track 1 RTX 5000 Ada listings across 1 cloud providers:
Billing type Listings Avg $/GPU/hr On-demand 1 $0.49/hr
Technical Specifications
| GPU Memory | 32GB GDDR6 |
| Memory Interface | 256-bit |
| Memory Bandwidth | 576 GB/s |
| CUDA Cores | 12,800 |
| Tensor Cores | 400 (4th generation) |
| RT Cores | 100 (3rd generation) |
| Single-Precision Performance | 65.3 TFLOPS |
| RT Core Performance | 151.0 TFLOPS |
| Tensor Performance | 1044.4 TFLOPS |
| System Interface | PCIe 4.0 x16 |
| Power Consumption | Total board power: 250 W |
| Thermal Solution | Active |
| Form Factor | 4.4" H x 10.5" L, dual slot |
| Display Connectors | 4x DisplayPort 1.4a |
| Power Connector | 1x PCIe CEM5 16-pin |
| Encode/Decode Engines | 2x encode, 2x decode (with AV1 support) |
| VR Ready | Yes |
| vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation |
| Graphics APIs | DirectX 12, OpenGL 4.6, Vulkan 1.3 |
| Compute APIs | CUDA, OpenCL 3.0, DirectCompute |
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