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USA 9 configs 1x-4x
Top-tier Ada Lovelace workstation GPU for AI and visualization.
You can start using a RTX 6000 Ada for $0.49/hr per GPU (on-demand). It's a low-risk price point for smaller workloads compared to the market high of $1.57/hr. Spot instances start lower, at $0.14/hr per GPU.
USA 9 configs 1x-4x
USA 4 configs 1x-8x
USA 20 configs 1x-8x
USA 4 configs 1x-8x
USA 1 config 1x
Finland 28 configs 1x-8x
UAE 3 configs 1x-4x
USA 1 config 1x
USA 1 config 1x
Switzerland 1 config 1x
India 3 configs 1x
USA 1 config 8x
Heads up: We do our best to keep these specs & 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 & exact specs with the provider before provisioning.
48GB GDDR6 with Ada Lovelace FP8 support. Professional-grade with ECC memory and ISV certifications. Strong for AI development, rendering, and scientific visualization.
Professional workstation pricing premium. For cloud AI inference, the L40S uses the same Ada architecture at lower cost without the ISV certification overhead.
The median on-demand price across providers has fallen about 19% since August 2025, from $1.02 to $0.82/hr per GPU. This reflects the market-wide median, which moves both when providers change prices and when lower or higher priced offerings enter the market.
With 48GB of VRAM, the RTX 6000 Ada can typically run models up to about 30B parameters in FP16, or 70B-class models in 4-bit quantized form for inference.
The RTX 6000 Ada has 48GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
The RTX 6000 Ada has 960 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
The RTX 6000 Ada supports 7 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP8, INT4, INT8.
No. The RTX 6000 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.
RTX 6000 Ada pricing currently ranges from $0.14/hr to $1.57/hr per GPU, depending on the provider, instance type, and billing model.
At 720 hours per month, one RTX 6000 Ada can cost between $99.22 to $1,130.40 per month, depending on the provider. Reserved and spot pricing can lower that further.
The RTX 6000 Ada is available from 12 cloud providers, including Verda, Runpod, AceCloud. Pricing and availability vary by region and billing model.
Yes. We currently track 76 RTX 6000 Ada listings across 12 cloud providers:
| Billing type | Listings | Avg $/GPU/hr |
|---|---|---|
| On-demand | 26 | $0.83/hr |
| Reserved | 39 | $0.85/hr |
| Spot | 11 | $0.39/hr |
| GPU Memory | 48GB GDDR6 |
| Memory Interface | 384-bit |
| Memory Bandwidth | 960 GB/s |
| NVIDIA Ada Lovelace Architecture-based CUDA Cores | 18,176 |
| NVIDIA Fourth-generation Tensor Cores | 568 |
| NVIDIA Third-generation RT Cores | 142 |
| Single-Precision Performance | 91.1 TFLOPS |
| RT Core Performance | 210.6 TFLOPS |
| Tensor Performance | 1457.0 TFLOPS |
| System Interface | PCIe 4.0 x16 |
| Power Consumption | Total board power: 300 W |
| Thermal Solution | Active |
| Form Factor | 4.4" H x 10.5" L, dual slot, full height |
| Display Connectors | 4x DisplayPort 1.4a |
| Max Simultaneous Displays | 4x 4096 x 2160 @ 120 Hz, 4x 5120 x 2880 @ 60 Hz, 2x 7680 x 4320 @ 60 Hz |
| Power Connector | 1x PCIe CEM5 16-pin |
| Encode/Decode Engines | 3x encode, 3x decode (+AV1 encode and decode) |
| VR Ready | Yes |
| vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation |
| vGPU Profiles Supported | See the Virtual GPU Licensing Guide |
| Graphics APIs | DirectX 12, Shader Model 6.6, OpenGL 4.66, Vulkan 1.36 |
| Compute APIs | CUDA 11.6, OpenCL 3.0, DirectCompute |
| NVIDIA NVLink® | No |
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