Best GPUs for Autonomous Vehicles Robotics
- Brands: NVIDIA, AMD
- Architectures: Ampere, Turing, Ada Lovelace, Pascal
- Memory: 8GB–80GB (GDDR6, HBM2, HBM3)
- Processing: CUDA Cores, Tensor Cores, Stream Processors, FP32/FP64, AI TOPS
- Connectivity: PCIe Gen4/Gen5, NVLink
- Models: RTX A6000, Tesla T4, P100, P4, RX 7900 XTX, RX 6000 Series
- Core Features: Tensor Cores, Real-Time Inference, Sensor Fusion, Parallel Processing
- Software: TensorFlow, PyTorch, ONNX, cuDNN, TensorRT, JetPack, Isaac SDK
- Use Cases: Autonomous Vehicles, Drones, Robotics, Industrial Automation
- Shipping: No Cost Delivery across UAE
- Warranty: 1-Year
- Support: 24/7 Expert Technical Assistance
Exploring powerful GPUs for your autonomous vehicles and robotics development operations? Power your autonomous vehicles and robotics projects with ServerBasket’s top-quality, specialized AI GPU for robotics, selectively chosen from the top brands to achieve peak performance and drive innovations. Available at the market’s most affordable price, our high-performance AI-powered GPUs can sense and process vast amounts of data in real-time with precision and efficiency. Featuring Tensor Cores, AI Cores, and advanced architectures like Ampere, Ada Lovelace, Hopper, and RDNA, these GPUs drive high-speed AI processing and real-time decision-making. Our AMD and NVIDIA GPUs are optimized for DL frameworks like TensorFlow, PyTorch, ONNX, etc., so that users can leverage accelerated model training, tensor computations, and real-time AI inference. Select from the top-end GPU models like NVIDIA Quadro RTX 5000/8000, RTX A6000, Tesla T4, P100, P4, AMD Radeon RX 7000 & RX 6000 that are most suitable for self-driving cars to drones, delivery robotics, and industrial automation workloads. Place your orders today and get a 1-year warranty cover and more benefits like free shipping and zero-cost EMIs in the UAE.
AI-Powered GPUs for Smarter Autonomous Systems
Bring revolution into your autonomous systems, choosing from our top GPUs. Simulate real-world conditions with the specialized supercomputing SoCs like NVIDIA Drive Orin/Thor, Jetson AI for robotics, and AMD Versal AI Edge, capable of rapid object detection, distracted driver warning, perception, and navigation. Our GPUs for autonomous vehicles and robotics are excellent in adaptive data processing and decision-making, supported by AI-powered sensor fusion, CUDA cores, Tensor Cores, and Stream Processors.
Parallel Processing, High Memory Bandwidth for Effortless Data Handling
Supercharge your autonomous systems through massive parallel processing architecture and ultra-fast High-bandwidth memory (HBM) to tackle AI-inferencing, sensor fusion, and real-time data handling. Our GPUs offer the highest number of CUDA cores, Tensor cores, and Compute Units alongside AI compute TOPS to process huge volumes of data used in such operations in real-time. The HBM3, GDDR6X, HBM2e & LPDDR5X memories accelerate deep learning for swift AI decision-making and handle massive datasets from sensor and camera feeds.
Enhanced Compatibility with Leading AI & Autonomous Platforms
Easily integrate industry-leading AI frameworks and SDKs without any compatibility issues. Our GPUs can augment hardware and software by seamlessly delivering better results with CUDA, TensorRT, & cuDNN, ROS & NVIDIA Isaac SDK, and NVIDIA DriveWorks. Improve general-purpose parallel computing, inference acceleration, DL library for neural networks, vehicle software, and robotics frameworks to achieve better control and automation to build intelligent autonomous models.
Industrial-Grade GPUs for Robotics & Autonomous Vehicles
Power complex AI computing, needed in autonomous navigation systems today, by deploying our GPUs that are designed for reliable performance in demanding environments. Enable important robotics functions by buying Radeon PRO W7000 & W6000 Series, NVIDIA’s RTX PRO Series, Jetson Series, and more that give enhanced engagements, led by technologies like JetPack SDK AI, computer vision, and advanced robotics functions. Get the industrial-grade AI acceleration, compute power, low-latency, and precision-driven graphics, choosing from a large variety of relevant GPUs
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