NVIDIA RTX A6000: Specs, Pricing and How to Reserve Your GPU VM

What is NVIDIA RTX A6000?

The NVIDIA RTX A6000 is a professional-grade GPU built on the Ampere architecture, engineered for advanced AI workloads, deep learning, real-time rendering and simulation tasks. Since its release, it has become the preferred GPU for content creators, engineers and AI researchers seeking both speed and reliability.

It features:

• 10,752 CUDA Cores for extreme parallel processing
• 336 Tensor Cores for AI acceleration
• 48 GB of ECC GDDR6 memory for handling massive datasets 
• Enhanced second-generation RT Cores for real-time ray tracing in rendering workflows
• 768 GB/s of memory bandwidth, FOR high-speed data processing with minimal latency

Now, let’s look at how the NVIDIA RTX A6000 is deployed on Hyperstack and what you get.

What are the Features of NVIDIA RTX A6000?

When you deploy NVIDIA RTX A6000 VMs on Hyperstack, you don’t just get access to a GPU, you get an optimised cloud environment for AI, rendering and simulation workloads. This means you can deploy market-ready applications without the infrastructure overhead.

Professional Rendering Acceleration

If you work in architecture, design or media production, rendering high-quality visuals often becomes a bottleneck. The RTX A6000 accelerates rendering workflows for real-time previews and photorealistic outputs without long waits.

For industries relying on Autodesk Arnold, Blender, V-Ray or Unreal Engine, this GPU ensures your creative team spends less time waiting and more time innovating.

Second-Generation RT Cores for Immersive Visuals

Traditional ray tracing is resource-intensive, making detailed lighting, shadows, and reflections time-consuming to generate. Second-generation RT Cores in the RTX A6000 double the throughput of previous generations for immersive real-time rendering and faster visual simulations.

Ephemeral Storage for Multi-GPU Configurations

If you scale your deployment to x2, x4 or x8 NVIDIA RTX A6000 configurations, Hyperstack provides significant ephemeral NVMe storage. This temporary, high-speed storage is ideal for:

• Real-time AI simulations.
• Temporary render caching for animation projects.
• Fast dataset preprocessing during multi-GPU training.

Snapshots and Bootable Volume

Hyperstack’s NVIDIA RTX A6000 make your workflow smoother and more reliable with two key capabilities:

1. Snapshots for Instant Recovery: You can capture the complete state of your VM like OS, libraries, configurations and volumes in a single snapshot. Quickly restore environments, roll back after errors and maintain multiple checkpoints during training, rendering or simulations without repeating setup steps.
2. Persistent Bootable Volume: Each NVIDIA RTX A6000 VM includes a bootable volume that keeps your OS and configurations intact. 

NVIDIA RTX A6000 GPU Pricing

Hyperstack offers flexible pricing options so you can choose the model that matches your workload:

On-Demand VMs

• Hourly Rate: $0.50/hour
• Billing: Pay for what you use with per-minute billing
• Ideal for: Short-term testing, ad-hoc rendering jobs, or proof-of-concept AI pipelines.

Reserved VMs

• Hourly Rate: $0.35/hour
• Billing: Lower rates for long-term commitments
• Ideal for: Continuous rendering, long-term AI training, and predictable enterprise workloads.

Spot VMs

Spot VMs give you access to unused Hyperstack GPU capacity at 20% lower rates than standard pricing. You get the same powerful RTX A6000 performance at a fraction of the price.

• Hourly Rate: $0.40/hour
• Billing: Pay only for what you use
• Ideal for: Interruption-tolerant tasks, like batch rendering or non-critical AI experiment, as they can be terminated without notice anytime. 

Hibernation Feature

If your NVIDIA RTX A6000 VM is idle, you can hibernate it to save on costs. When you’re ready to continue:

• Resume instantly without reconfiguration.
• Retain your environment and progress.

How to Reserve Your NVIDIA RTX A6000 

Reserving NVIDIA RTX A6000 in advance ensures that your projects won’t stall due to GPU shortages, especially during peak demand. You also secure lower rates for long-term or large-scale workloads, making your budget predictable and reliable.

Reservation Process for NVIDIA RTX A6000

The reservation process is simple and can be completed in a few steps:

1. Go to the NVIDIA RTX A6000 Reservation Page on the website..
2. Fill out the form with details like:
   
   
   • Company Name
   • Use Case (e.g., rendering, AI training, simulation)
   • Number of GPUs (1, 2, 4, or 8)
   • Duration of Reservation (1, 3, or 6 months)
     
     
3. Submit your request and our team will contact you to finalise the reservation, discuss your workload requirements and ensure you get the best performance for your workloads..

Conclusion

The NVIDIA RTX A6000 is a popular choice for AI research, 3D rendering, simulation and advanced visualisation tasks. On Hyperstack, it goes beyond hardware and you get scalable storage, hibernation and reservation options that streamline production and reduce costs. No matter if you’re testing an AI model or managing enterprise-scale rendering pipelines, the NVIDIA RTX A6000 on Hyperstack ensures you stay fast, flexible and future-ready.

New to Hyperstack? Sign Up Now to Get Started

Ready to Get Started?

Here are some helpful resources that will help you deploy NVIDIA RTX A6000 on Hyperstack:

• New to Hyperstack? Sign up Today to Get Started

• Check out the Hyperstack API Documentation 

• Explore the Quick Platform Tour

• Need help? Contact us anytime at support@hyperstack.cloud 

FAQs

What workloads is RTX A6000 still a good choice for?

The NVIDIA RTX A6000 is ideal for AI workloads, deep learning, professional rendering, and simulation-intensive tasks that require enterprise-level GPU power.

How much memory does the NVIDIA RTX A6000 have?

NVIDIA RTX A6000 comes with 48 GB of ECC GDDR6 memory, perfect for large datasets and rendering jobs.

What is the cost of the NVIDIA RTX A6000?

On Hyperstack, you can get the NVIDIA RTX A6000 for:

• On-demand: $0.50/hour
• Reserved: $0.35/hour
• Spot: $0.40/hour

Is hibernation available for NVIDIA RTX A6000?

Yes, hibernation is available for the NVIDIA RTX A6000 GPU VM on Hyperstack. Hibernation lets you pause and resume your VM without losing configuration or progress.

How do I reserve the NVIDIA RTX A6000?

Visit the reservation page, fill in your details, submit the form and the Hyperstack team will assist you further.

Can the NVIDIA RTX A6000 handle large-scale AI model training?

Yes, the NVIDIA RTX A6000 can train large-scale AI models efficiently with its 48 GB memory and Tensor Cores, though data centre GPUs like the NVIDIA A100 or NVIDIA H100 offer superior scalability.

What are the key differences between the NVIDIA L40 and NVIDIA RTX A6000?

The NVIDIA L40, built on the latest Ada Lovelace architecture, is engineered for demanding data center workloads, including AI and high-performance computing (HPC). It offers increased CUDA, Tensor, and RT cores for superior throughput in AI inference and compute tasks. In contrast, the RTX A6000 utilises the preceding Ampere architecture and is purpose-built for professional workstation environments, excelling in 3D rendering, visualisation, and simulation workloads—making it the preferred solution for applications such as CAD and advanced visual computing.