RTX 6000 Ada GPU
The RTX 6000 Ada targets professional workstations with 48GB of ECC memory, optimized for large-scale rendering, simulation, and AI development. It offers stability and error correction for mission-critical visual computing tasks.
Cloud Pricing
Cheapest on Sesterce — 90% below avg
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 48GB GDDR6 memory with ECC provides large working datasets for professional applications
- 18,176 CUDA cores deliver substantial parallel computing performance
- 4th generation Tensor Cores with FP8 support accelerate AI inference workloads
- 3rd generation RT Cores provide hardware-accelerated ray tracing
- AV1 encoding support enables efficient video content creation
- 960 GB/s memory bandwidth supports memory-intensive applications
- Virtualization ready for cloud deployment flexibility
- 300W power consumption requires substantial cooling infrastructure
- Workstation-focused design may be oversized for basic computing tasks
- Ada Lovelace architecture predates newer Hopper and Blackwell generations
- Professional pricing tier typically costs more than consumer alternatives
- Dual-slot form factor limits density in multi-GPU server configurations
Key Features
About RTX 6000 Ada
Common Use Cases
The RTX 6000 Ada targets professional visualization, 3D rendering, and content creation workflows that benefit from its 48GB memory capacity and graphics acceleration features. Its combination of CUDA cores, RT Cores, and substantial VRAM makes it well-suited for architectural visualization, product design, video editing, and moderate-scale AI development. The ECC memory support and professional drivers also make it appropriate for technical computing applications requiring data integrity, while the AV1 encoding capabilities support modern video streaming and content creation pipelines.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ada Lovelace
- CUDA Cores
- 18,176
- Tensor Cores
- 568
- RT Cores
- 142
- Process Node
- 4nm
- TDP
- 300W
Memory & Performance
- VRAM
- 48GB
- Memory Interface
- 384-bit
- Memory Bandwidth
- 960 GB/s
- FP32
- 91.1 TFLOPS
- FP16
- 728.5 TFLOPS
- FP64
- 1.42 TFLOPS
- INT8
- 728.5 TOPS
- Release
- 2022
Frequently Asked Questions
How much does an RTX 6000 Ada cost per hour in the cloud?
RTX 6000 Ada pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 6000 Ada best used for?
The RTX 6000 Ada excels at professional visualization, 3D rendering, content creation, and moderate AI development tasks. Its 48GB ECC memory and professional features make it ideal for architectural visualization, product design, video editing with AV1 encoding, and technical computing applications requiring data integrity.
How does the RTX 6000 Ada compare to dedicated AI accelerators like the H100?
The RTX 6000 Ada focuses on professional graphics and mixed workloads with 568 Tensor Cores and graphics capabilities, while the H100 is a dedicated AI accelerator with more Tensor Cores and HBM memory optimized purely for AI training and inference. The RTX 6000 Ada offers more versatility for creative workflows, while the H100 provides superior performance for large-scale AI workloads.