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Rent NVIDIA RTX 8000 GPUs for Pro-Grade 3D & Rendering

Render ultra-complex 3D scenes, visual effects, and simulations in real time without hardware limits.

  • Real-Time Ray Tracing 
  • Enterprise-Grade Visual Precision 
  • NVLink Multi-GPU Scaling 
  • Pay-as-You-Go 
48 GB
GDDR6 Memory
672GB/s
Memory Bandwidth
130.5TFLOPS
Tensor Performance
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Start With ₹30,000 Free Credits

Bring Your Creative Vision to Life Instantly
Deploy in minutes and start running AI workloads instantly.


    • Enterprise-Grade Security
    • Instant Cluster Launch
    • 1:1 Expert Guidance
    Your data is private and never shared with third parties.

    NVIDIA RTX 8000 GPU Specifications

    VRAM
    48GB GDDR6
    Cuda Cores
    4608
    Tensor Core
    576 (2nd Gen)
    Encoder/ Decoder
    1 NVENC (7th Gen) and 1 NVDEC (4th Gen) engines

    Why IT Leaders Choose AceCloud’s NVIDIA RTX 8000 GPUs?

    Purpose-built GPU infrastructure trusted by professionals in graphics, AI and analytics.
    CUDA Dominance

    Harness unmatched performance with the highest CUDA core count, ideal for 3D rendering and simulations.

    Multi-GPU Scalability

    Connect multiple RTX 8000 GPUs to scale performance and handle resource-intensive workloads with confidence.

    Ray Tracing Excellence

    Achieve stunning realism with 72 RT cores, delivering lifelike lighting, shadows and reflections instantly.

    Tensor Powerhouse

    Accelerate predictive modeling and AI workflows using 576 Tensor cores for efficient deep learning tasks.

    RTX 8000: Proven Visualization GPU for Legacy Pipelines

    Best for DCC/render and CAD workloads that don’t need Ada-class throughput or peak TFLOPS.
    NVIDIA RTX 8000 Performance
    NVIDIA RTX 8000 Memory
    NVIDIA RTX 8000 Bandwidth
    Designed for Teams That Deliver at Scale.

    The NVIDIA RTX 8000 turns complex ideas into stunning visuals—faster, smoother, and more lifelike than ever.

    Up to 3× Faster Rendering
    Work in Real Time

    AI-Enhanced Visuals
    Sharper, Truer Results

    48 GB GDDR6
    Freedom for Big Projects


    Compare GPU Plans
    No noise. No lag. Just pure creative flow.

    Where RTX 8000 Delivers Pro-Level Graphics & Compute

    A powerhouse GPU for heavy 3D, rendering, simulation and data-rich workflows.

    3D Modeling & CAD

    Handle huge, complex 3D models or CAD assemblies without slowdowns.

    Rendering & Animation

    Render high-resolution scenes, animations, VFX or architectural visuals with accurate ray tracing.

    Virtual Workstations

    Give designers and artists powerful remote workstations ideal for rendering, design, or 3D workflows.

    AI & ML Workloads

    Use its Tensor cores and large memory for deep-learning projects, model training or inference.

    Scientific Simulations

    Run simulations, scientific computing, or data-heavy compute jobs needing high GPU compute and memory.

    Video Editing Workflows

    Process 8K content, visual effects, color grading and video editing smoothly thanks to ample memory and GPU power.

    Mixed Creative Tasks

    Handle hybrid workflows like 3D, AI, rendering, video all on one GPU without switching hardware.

    Your Custom Solution

    Tell us what you’re working on? We’ll help you build the right RTX 8000-powered workstation.

    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×

    Ready to Create Without Waiting on Hardware?

    Deploy RTX 8000 GPUs instantly-so your ideas render as fast as you imagine them.

    Less waiting. More creating.

    Frequently Asked Questions

    NVIDIA RTX 8000 is a pro-grade GPU with 48 GB GDDR6 memory and high ray-tracing and Tensor performance. It is designed for high-end visualization, 3D rendering, CAD/BIM, simulation and AI-assisted graphics.

    Use RTX 8000 when you need:

    • 3D rendering and VFX
    • CAD, BIM and engineering visualization
    • Digital twins and simulations
    • GPU-accelerated design tools and real-time ray tracing

    It delivers workstation-class performance, making it a strong fit for engineering, design, and visualization workloads that need high memory capacity and real-time graphics acceleration.

    Yes. RTX 8000 has Tensor Cores and supports CUDA frameworks, so you can run deep learning training and inference, especially computer vision and graphics-heavy models. For very large-scale AI or LLM training, AceCloud’s A100, H100 or L40S are usually a better choice.

    You don’t buy graphics cards. You launch RTX 8000 GPU instances from the AceCloud console, run your projects and pay for the configuration and time you use. You can scale up for heavy rendering or simulation bursts and scale down when the workload drops.

    Renting RTX 8000 in the cloud helps you avoid upfront workstation costs, keep GPU spend as OPEX, give remote teams the same high-end GPU, and spin up extra capacity only when a project needs it.

    Yes. You can provision instances with multiple RTX 8000 GPUs when a single card is not enough for your scenes or simulations. For workloads that need even more memory or AI throughput, you can mix in data center GPUs like L40S or A100.

    Yes. RTX 8000 supports NVIDIA virtual GPU (vGPU) and RTX Virtual Workstation software, so you can deliver GPU-backed virtual desktops for designers and engineers instead of shipping physical workstations.

    You can run common DCC and visualization tools (Autodesk, Adobe, Unreal/Unity, etc.) alongside CUDA-based frameworks like PyTorch and TensorFlow. AceCloud offers ready images, or you can bring your own containers.

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