{"product_id":"inno3d-rtx-4080-x3-16gb-graphics-card","title":"Inno3d RTX 4080 X3 16GB Graphics Card","description":"\u003cmeta name=\"description\" content=\"Buy Inno3d RTX 4080 X3 16GB Graphics Card online in India at best price from The Engineer Store, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003eInno3d RTX 4080 X3 16GB Graphics Card\u003c\/h1\u003e\n\n\u003cp\u003eThe Inno3d RTX 4080 X3 is a high-performance discrete graphics card featuring NVIDIA's Ada architecture with 9,728 CUDA cores and 16GB of GDDR6X memory, delivering exceptional compute performance for demanding workloads. Professional users including 3D animators, AI researchers, data scientists, and software developers rely on this GPU for accelerated rendering, machine learning model training, and complex simulations that require sustained parallel processing power. This card solves the critical bottleneck of CPU-limited graphics rendering and AI inference by providing dedicated GPU acceleration that achieves 2.5x faster performance compared to previous generation cards in professional applications.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\n\u003cp\u003eThe Inno3d RTX 4080 X3 leverages NVIDIA's advanced Ada GPU architecture to deliver superior performance in both real-time graphics and compute-intensive applications. The card features 16GB of high-bandwidth GDDR6X memory paired with a 256-bit memory interface, providing 576 GB\/s of memory bandwidth essential for handling large datasets in AI training and complex scene rendering. The X3 cooling solution incorporates triple axial fans with advanced thermal management, ensuring stable operation under continuous load while maintaining acoustic efficiency through intelligent fan curve optimization.\u003c\/p\u003e\n\n\u003cp\u003eWhat distinguishes the RTX 4080 X3 is its combination of raw compute power with professional-grade reliability and driver support. The card supports NVIDIA's CUDA, OptiX, and TensorRT frameworks, enabling seamless integration into existing professional pipelines. With support for DisplayPort 2.1 and HDMI 2.1 connectivity, the card accommodates modern high-resolution displays and multi-monitor setups. The dual-slot form factor fits standard PCIe x16 slots, making it compatible with most workstation and gaming PC configurations while the 320W TDP requires adequate PSU capacity for stable operation.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eDiscrete Graphics Processing Unit (GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eInno3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ada (AD102 GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e9,728\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e16GB GDDR6X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e576 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoost Clock\u003c\/td\u003e\n\u003ctd\u003eUp to 2.5 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTDP\u003c\/td\u003e\n\u003ctd\u003e320W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe Interface\u003c\/td\u003e\n\u003ctd\u003ePCIe 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling Solution\u003c\/td\u003e\n\u003ctd\u003eTriple-fan axial cooling (X3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd\u003e3x DisplayPort 2.1, 1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eDual-slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003e9,728 CUDA cores deliver 40.5 teraflops of single-precision compute performance, enabling rapid processing of large-scale AI models and complex 3D rendering tasks\u003c\/li\u003e\n\u003cli\u003e16GB GDDR6X memory with 576 GB\/s bandwidth supports processing of massive datasets required for professional video editing, 3D asset creation, and machine learning applications\u003c\/li\u003e\n\u003cli\u003eAdvanced thermal management with triple-fan X3 cooling design maintains optimal operating temperatures under sustained full-load conditions, ensuring reliability in 24\/7 rendering farms and data centers\u003c\/li\u003e\n\u003cli\u003eNative support for NVIDIA CUDA, OptiX ray tracing, and TensorRT inference frameworks provides seamless integration with industry-standard professional software like Blender, Adobe Creative Suite, and PyTorch\u003c\/li\u003e\n\u003cli\u003ePCIe 4.0 interface with dual-slot design ensures compatibility with modern workstations while maintaining thermal separation and airflow efficiency\u003c\/li\u003e\n\u003cli\u003eDisplayPort 2.1 and HDMI 2.1 connectivity supports ultra-high-resolution displays up to 8K, enabling immersive visualization of complex datasets and rendered content\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eProfessional 3D Animation and VFX: Accelerate Blender cycles rendering, V-Ray GPU rendering, and Arnold GPU rendering by 3-4x compared to CPU-only workflows, reducing render times from hours to minutes for complex scenes with volumetric effects and ray tracing\u003c\/li\u003e\n\u003cli\u003eAI Model Training and Inference: Train large language models, computer vision networks, and generative AI models using PyTorch, TensorFlow, and JAX frameworks with 40+ teraflops of compute power, significantly reducing training time for ResNet, BERT, and Stable Diffusion models\u003c\/li\u003e\n\u003cli\u003eScientific Computing and Simulation: Accelerate computational fluid dynamics (CFD), finite element analysis (FEA), and molecular dynamics simulations in ANSYS, COMSOL, and GROMACS through CUDA acceleration, enabling faster convergence and higher-resolution simulations\u003c\/li\u003e\n\u003cli\u003eData Center and Cloud Workloads: Deploy in virtualized environments for GPU-accelerated databases, video transcoding, and real-time analytics, supporting multiple concurrent users through NVIDIA MIG (Multi-Instance GPU) technology for efficient resource utilization\u003c\/li\u003e\n\u003cli\u003eProfessional Video Editing and Color Grading: Accelerate timeline scrubbing, effects rendering, and color grading in DaVinci Resolve, Premiere Pro, and Final Cut Pro by leveraging GPU-accelerated processing for 4K and 8K video workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\n\u003cp\u003eInstallation of the Inno3d RTX 4080 X3 requires careful preparation and proper handling to ensure optimal performance and longevity. Begin by powering down your system completely and disconnecting the power supply cable. Locate the PCIe x16 slot (typically the topmost slot on most motherboards) and remove any slot covers or existing graphics cards. Align the card's gold connector with the PCIe slot, ensuring the notch on the card aligns with the key on the motherboard. Insert the card with firm, even pressure until the retention clip at the end of the slot clicks into place. Secure the card's bracket to the case using the provided mounting screws, then connect the dual 8-pin PCIe power connectors from your power supply to the card's power inputs. Verify your power supply has at least 750W capacity to safely deliver the 320W TDP plus system overhead.\u003c\/p\u003e\n\n\u003cp\u003eAfter physical installation, reconnect the power supply and boot your system. Windows will automatically detect the new hardware and install generic drivers. Download the latest NVIDIA GeForce or Studio drivers from nvidia.com based on your use case (gaming drivers for maximum performance, Studio drivers for professional applications). Install the drivers and restart your system. Configure display outputs by connecting your monitors to the card's DisplayPort or HDMI ports rather than the motherboard's integrated graphics. For professional applications, enable persistence mode and adjust power management settings in NVIDIA Control Panel for consistent performance. Monitor GPU temperatures using NVIDIA GPU-Z or your system's BIOS monitoring tools, ensuring temperatures remain below 80 degrees Celsius under sustained load. For optimal cooling, ensure adequate case airflow with intake fans at the front and exhaust fans at the rear, maintaining at least 2-3 inches of clearance above the card for hot air exhaust.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat power supply capacity do I need for the RTX 4080 X3?\u003c\/summary\u003e\n\u003cp\u003eNVIDIA recommends a minimum 750W power supply for systems using the RTX 4080 X3. The card itself has a 320W TDP, but you must account for CPU power consumption and system overhead. For high-end processors like Intel i9-13900K or AMD Ryzen 9 7950X, consider a 850W or higher capacity PSU to ensure stable operation under peak load conditions and provide headroom for power efficiency degradation over time.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eIs the RTX 4080 X3 suitable for gaming or only professional work?\u003c\/summary\u003e\n\u003cp\u003eThe RTX 4080 X3 excels at both gaming and professional applications. For gaming, it delivers 120+ FPS at 4K resolution in modern AAA titles with maximum settings and ray tracing enabled. However, it's optimized for professional workloads through NVIDIA's Studio driver suite, which prioritizes stability and compatibility with professional software over gaming performance. If gaming is your primary use, the GeForce RTX 4080 Super offers similar gaming performance at lower cost, while the RTX 4080 X3 is better suited for professional creators who also game occasionally.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eCan I use multiple RTX 4080 X3 cards in one system?\u003c\/summary\u003e\n\u003cp\u003eYes, you can use multiple RTX 4080 X3 cards in a single system for increased compute performance. Most modern motherboards support dual GPU configurations using two PCIe x16 slots. When two GPUs are installed, each typically operates at PCIe x8 speed, which has minimal performance impact for professional applications. For AI training and rendering workloads, multiple cards scale nearly linearly, doubling performance with two cards. Ensure your power supply has sufficient capacity (1000W+ for dual RTX 4080 X3 systems) and that your case provides adequate cooling and spacing between cards.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the difference between RTX 4080 X3 and RTX 4080 Super?\u003c\/summary\u003e\n\u003cp\u003eThe RTX 4080 X3 and RTX 4080 Super share identical GPU specifications (9,728 CUDA cores, 16GB memory), but differ in cooling design and target market. The X3 features triple-fan cooling optimized for sustained professional workloads in data centers and rendering farms, while the Super uses a different cooler design. The X3 is positioned for professional users requiring maximum thermal stability, while the Super targets gaming enthusiasts. Performance is virtually identical between the two models; the choice depends on cooling preference and use case requirements.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eDoes the RTX 4080 X3 support NVIDIA DLSS and ray tracing?\u003c\/summary\u003e\n\u003cp\u003eYes, the RTX 4080 X3 fully supports NVIDIA DLSS 3 with frame generation, DLSS 2 upscaling, and hardware-accelerated ray tracing through dedicated RT cores. In gaming, DLSS 3 can double frame rates while maintaining visual quality through AI-powered frame interpolation. For professional applications, ray tracing acceleration significantly reduces rendering times in Blender Cycles, V-Ray, and other rendering engines. The card includes 304 third-generation RT cores, enabling real-time ray tracing in complex scenes with global illumination and realistic reflections.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe offer a 7-day\n\u003c\/p\u003e\u003c\/details\u003e\n\n\u003ch2\u003eBuy Inno3d RTX 4080 X3 16GB Graphics Card Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the \u003cstrong\u003eInno3d RTX 4080 X3 16GB Graphics Card\u003c\/strong\u003e online at \u003ca href=\"https:\/\/theengineerstore.in\"\u003eThe Engineer Store\u003c\/a\u003e, India's trusted source for genuine electronics and professional equipment. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on \u003cstrong\u003eInno3d RTX 4080 X3 16GB Graphics Card\u003c\/strong\u003e with fast shipping, expert technical support, and the assurance of 100% authentic products from authorized distributors.\u003c\/p\u003e\n\u003cp\u003eWhether you are a professional engineer, researcher, student, or electronics enthusiast, The Engineer Store provides the technical expertise and product quality you need. Our team in Bengaluru is available 24\/7 to support your journey from product selection to project completion.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Buy from The Engineer Store\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized distributors with authentication\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team validates every product before listing\u003c\/li\u003e\n\u003cli\u003eFast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse\u003c\/li\u003e\n\u003cli\u003ePan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata\u003c\/li\u003e\n\u003cli\u003ePayment Options: COD, UPI, credit\/debit cards, net banking, EMI available\u003c\/li\u003e\n\u003cli\u003eTechnical Support: 24\/7 expert guidance via email and WhatsApp\u003c\/li\u003e\n\u003cli\u003eReturns: 7-day return policy on manufacturing defects only\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43969185710243,"sku":"TES-PC435","price":154536.34,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/Inno3d-RTX-4080-X3-16GB-Graphics-CardN40803-166X-187049N-300x300.jpg?v=1706692330","url":"https:\/\/www.theengineerstore.in\/zh-hant\/products\/inno3d-rtx-4080-x3-16gb-graphics-card","provider":"The Engineer Store","version":"1.0","type":"link"}