RTX A6000 GPU
The RTX A6000 combines 48GB of VRAM with NVLink for large-scale rendering and machine learning. It's a go-to for studios and researchers handling massive datasets or multi-8K workflows.
Cloud Pricing
Cheapest on RunPod — 68% below avg
Prices updated daily. Last check: 4/3/2026
Performance
Strengths & Limitations
- 48GB GDDR6 memory capacity handles large datasets and complex scenes
- ECC memory support provides error correction for mission-critical workloads
- 336 third-generation Tensor cores accelerate AI training and inference
- NVLink connectivity enables dual-GPU configurations with up to 96GB total memory
- PCI Express Gen 4 interface provides modern connectivity standards
- vGPU software support enables virtualized graphics deployments
- 300W TDP fits standard workstation power and cooling requirements
- 300W power consumption requires robust cooling infrastructure
- Ampere architecture predates newer Hopper and Blackwell generations
- Workstation positioning makes it less optimized than dedicated data center GPUs
- Memory bandwidth of 768 GB/s lower than contemporary server-class alternatives
- Dual-slot form factor limits density in rack-mounted configurations
Key Features
About RTX A6000
Common Use Cases
The RTX A6000 addresses professional workloads requiring substantial memory capacity and mixed graphics-compute capabilities. Its 48GB GDDR6 memory and ECC support make it suitable for large-scale CAD modeling, architectural visualization, and scientific simulation where data integrity matters. The combination of RT cores and Tensor cores enables real-time ray tracing in content creation pipelines alongside AI-accelerated rendering workflows. In machine learning contexts, the substantial memory capacity supports training of moderately-sized models or inference on large models that exceed the memory limits of consumer GPUs, while the NVLink capability allows scaling to 96GB for even larger workloads.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 10,752
- Tensor Cores
- 336
- RT Cores
- 84
- Process Node
- 8nm
- TDP
- 300W
Memory & Performance
- VRAM
- 48GB
- Memory Interface
- 384-bit
- Memory Bandwidth
- 768 GB/s
- FP32
- 38.7 TFLOPS
- FP16
- 154.85 TFLOPS
- BF16
- 38.7 TFLOPS
- FP64
- 0.6 TFLOPS
- INT8
- 309.7 TOPS
- Release
- 2020
Frequently Asked Questions
How much does an RTX A6000 cost per hour in the cloud?
RTX A6000 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX A6000 best used for?
The RTX A6000 excels at professional visualization, CAD modeling, and content creation workflows requiring large memory capacity. Its 48GB GDDR6 memory with ECC support handles complex scenes and datasets, while RT cores enable real-time ray tracing. It also serves AI inference and training for moderately-sized models where the substantial memory capacity provides advantages over consumer alternatives.
How does the RTX A6000 compare to data center GPUs for AI workloads?
The RTX A6000 offers 48GB memory capacity competitive with some data center GPUs, but delivers lower compute performance with 154.85 TFLOPS FP16 versus the higher throughput of dedicated AI accelerators. Its advantage lies in combining substantial memory with professional graphics capabilities, making it suitable for mixed workloads requiring both visualization and AI acceleration in a single GPU.