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Rent NVIDIA RTX A6000 Cloud GPUs for 3D & AI

Run complex renders, simulations, and GPU workstations with on-demand RTX A6000 performance.

48 GB ECC

VRAM

NVLink Ready

Multi-GPU

Enterprise Security

For teams

<15 Minutes

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    NVIDIA RTX A6000 Specifications

    Built for advanced visual and AI workflows.

    Architecture
    NVIDIA Ampere
    GPU Memory
    48GB GDDR6 ECC
    Memory Bandwidth
    768GB/s
    Tensor Performance
    309.7 TFLOPS
    RT Core Performance
    75.6 TFLOPS
    FP32 Performance
    38.7 TFLOPS
    Interconnect
    2-way NVLink
    Form Factor
    PCIe, Dual-Slot

    Why Enterprises Choose AceCloud’s NVIDIA RTX A6000 GPUs?

    Empowering enterprises with high-performance GPU solutions for rendering, AI, analytics and professional-grade visual computing.
    High-Performance Graphics

    Manipulate large-scale projects easily with expansive GPU memory and 384-bit interface powering your creative workflow.

    Architectural Visualization

    Experience unmatched visual fidelity with RTX A6000’s RT Cores, rendering lighting and shadows with precision.

    Effortless Integration

    Integrate powerful AI and graphics performance smoothly into workflows across architecture, design and data science.

    Seamless Scalability

    Scale efficiently by connecting RTX A6000 GPUs to meet the demands of intensive data center workloads.

    Transparent NVIDIA RTX A6000 Pricing

    Clear RTX A6000 pricing with upfront costs and flexible term options.
    Flavour Name GPUs vCPUs RAM Monthly 6 Monthly 5% Off 12 Monthly 10% Off
    N.RTXA6000.64 1x 16 64

    ₹37,500

    ₹213,750

    ₹35,625/mo

    ₹405,000

    ₹33,750/mo

    N.RTXA6000.128 1x 24 128

    ₹40,000

    ₹228,000

    ₹38,000/mo

    ₹432,000

    ₹36,000/mo

    N.RTXA6000.192 2x 32 192

    ₹80,000

    ₹456,000

    ₹76,000/mo

    ₹864,000

    ₹72,000/mo

    Pricing shown for our Noida data center, excluding taxes. 6 and 12 month plans include approx. 5% and 10% savings. For Mumbai, Atlanta or custom quotes, view full GPU pricing or contact our team.

    NVIDIA RTX A6000: Built for Larger Scenes,
    Datasets and AI Workloads

    Built to handle demanding rendering, simulation and AI workflows with more memory and room to scale.

    GPU Performance Comparison

    Peak tensor performance.

    Total GPU memory.

    Peak FP32 performance.

    RTX A6000 is up to 2.4x faster
    RTX A6000 has 2x more memory
    RTX A6000 is up to 2.4x faster
    NVIDIA RTX A6000
    309.7 TFLOPS
    NVIDIA RTX A5500
    272.8 TFLOPS
    NVIDIA RTX A5000
    222.2 TFLOPS
    NVIDIA Quadro RTX 6000
    130.5 TFLOPS
    NVIDIA RTX A6000
    48GB
    NVIDIA RTX A5500
    24GB
    NVIDIA RTX A5000
    24GB
    NVIDIA Quadro RTX 6000
    24GB
    NVIDIA RTX A6000
    38.7 TFLOPS
    NVIDIA RTX A5500
    34.1 TFLOPS
    NVIDIA RTX A5500
    768GB/s
    NVIDIA Quadro RTX 6000
    672GB/s
    NVIDIA RTX A6000 Competitor GPUs
    Based on official NVIDIA specifications

    Key Performance Benchmarks

    AI Training

    Up to 5x training throughput vs previous generation

    AI Inference

    Up to 2x higher inference throughput with sparsity

    Ray Tracing

    Up to 2x RT throughput vs previous generation

    Multi-GPU Memory

    Up to 96GB combined memory with NVLink

    Work Faster. Render Smarter. Build Without Limits.

    The NVIDIA RTX A6000 helps teams create, simulate, and visualize up to 2× faster with enterprise-grade reliability.

    2× Faster Processing
    Finish Projects Sooner

    10,752 CUDA Cores
    Handle Heavy Compute

    ECC Memory Protection
    Error-Free Stability

    Compare GPU Plans
    No downtime. No data loss. Just steady, predictable performance.

    Where RTX A6000 Powers Serious Visual & Compute Work

    A6000 brings pro-level graphics, rendering, and compute muscle ideal for creators, engineers, and data-heavy workloads.

    3D Modeling & CAD

    Handle complex 3D models, CAD designs or engineering drafts smoothly, even at high detail.

    Rendering & Animation

    Render movies, architectural visuals, product renders or animations with fast ray-tracing and high fidelity.

    Virtual Workstations

    Support powerful remote workstations for designers, VFX artists or architects with stability and pro-grade GPU memory.

    AI & ML Workloads

    Run deep-learning tasks, inference, or data science pipelines using A6000’s Tensor Cores and large GPU memory.

    Scientific Simulations

    Run simulations, engineering analyses, or compute-intensive workloads that need high accuracy and large memory.

    Video Editing Workflows

    Edit high-res video, work with 4K/8K footage, color grading or effects A6000 speeds up encoding, decoding, and processing.

    Mixed Creative Projects

    Combine 3D, rendering, AI, data-processing or video one GPU to power all demands without switching hardware.

    Your Custom Solution

    Tell us what you’re working on? We’ll help you build the right A6000-powered workstation.

    Ready to Scale Up Your Projects?

    Connect up to two RTX A6000 GPUs with NVLink and get double the power for design, simulation, or AI workloads.

    Scale smarter. Render faster. Deliver without compromise.

    Trusted by Industry Leaders

    See how businesses across industries use AceCloud to scale their infrastructure and accelerate growth.

    Ravi Singh
    Ravi Singh
    five-star
    Sr. Executive Machine Learning Engineer,
    Tagbin

    “We moved a big chunk of our ML training to AceCloud’s A30 GPUs and immediately saw the difference. Training cycles dropped dramatically, and our team stopped dealing with unpredictable slowdowns. The support experience has been just as impressive.”

    60% faster training speeds

    Dheeraj Kumar Mishra
    Dheeraj Kumar Mishra
    five-star
    Sr. Machine Learning Engineer, Arivihan Technologies

    “We have thousands of students using our platform every day, so we need everything to run smoothly. After moving to AceCloud’s L40S machines, our system has stayed stable even during our busiest hours. Their support team checks in early and fixes things before they turn into real problems.”

    99.99*% uptime during peak hours

    Jaykishan Solanki
    Jaykishan Solanki
    five-star
    Lead DevOps Engineer, Marktine Technology Solutions

    “We work on tight client deadlines, so slow environment setup used to hold us back. After switching to AceCloud’s H200 GPUs, we went from waiting hours to getting new environments ready in minutes. It’s made our project delivery much smoother.”

    Provisioning time reduced 8×

    Frequently Asked Questions

    The NVIDIA RTX A6000 is a professional GPU built on the Ampere architecture with 48 GB GDDR6 ECC memory and over 700 GB/s of memory bandwidth. It is designed for high-end visualization, 3D rendering, CAD/BIM, simulation and AI-assisted graphics workloads that outgrow consumer GPUs.

    RTX A6000 works well for:

    • 3D rendering, VFX and animation
    • CAD, CAM, BIM and engineering visualization
    • Digital twins, simulation and virtual production
    • Data science notebooks and mid-sized AI / ML models

    It’s a good fit when you want workstation-class graphics and compute, but prefer to run them in the cloud instead of on a physical workstation.

    RTX A6000 has CUDA, Tensor and RT Cores, so it handles computer vision, graphics-heavy models and mid-sized deep learning workloads well. For very large models, large-scale LLM training or heavy multi-GPU clusters, AceCloud’s A100, H100, H200 or L40S usually make more sense.

    On AceCloud, you don’t buy RTX A6000 hardware. You launch RTX A6000 instances from the console, run your jobs and pay based on the configuration and runtime. You can increase or reduce RTX A6000 capacity as projects change, which keeps it an operating cost instead of a fixed capital expense.

    Yes. You can spin up RTX A6000 GPUs for a short-term project, render sprint or PoC, then shut them down when you’re done so you’re not paying for idle GPUs between projects. This is useful when you want to validate performance before committing to a longer plan.

    Yes. You can deploy multiple RTX A6000 GPUs in the same node or across nodes. RTX A6000 also supports NVLink, so two cards can be bridged to effectively double the available GPU memory and increase inter-GPU bandwidth for large scenes, simulations or training jobs.

    Yes. RTX A6000 supports NVIDIA RTX Virtual Workstation (vWS) and vGPU software, so you can deliver GPU-backed virtual desktops to designers, engineers and content teams instead of issuing physical workstations. AceCloud exposes RTX A6000 via VMs and containers that your team can access securely from anywhere.

    You can run DCC and visualization tools (Autodesk, Adobe, Unreal/Unity and similar apps) alongside CUDA-based frameworks like PyTorch, TensorFlow and other ML stacks, using AceCloud’s pre-configured images or your own containers. Pricing is pay-as-you-go with monthly and yearly options published on the RTX A6000 pricing page, and new users typically get free credits (₹20,000 in India / $200 in US) to test RTX A6000 and other GPUs.

    Start With ₹20,000 Free Credits

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