Best GPUs for Data Analytics
₹35,569.00₹40,000.00 (-11%)
- Brands: NVIDIA, AMD
- Architectures: Ampere, Turing, Ada Lovelace, Pascal
- Memory: 8GB–80GB (GDDR6, HBM2, HBM3)
- Processing: High Bandwidth Memory, Multi-GPU Setup, Accelerated Computing
- Models: NVIDIA H100, L40S, RTX 6000 Ada, 4090, 4080, 3090 | AMD MI300X
- Cooling: Active, Passive, Liquid Cooling
- Performance: PCIe 4.0, PCIe 3.0, NVLink, Infinity Fabric
- Industries: Data Analysis, High-Performance Computing, AI Workloads
- Shipping: Free Delivery across India
- Warranty: 1-Year
- Support: 24/7 Expert Assistance
Are you looking for powerful GPUs for heavy data analytical and transactional processing workloads? Access advanced data-driven solutions, and optimize database and analytics capabilities to enable speedy data insights by choosing from the choicest pool of supercharged, top-brand Graphics Cards for Data Analytics from the ServerBasket e-store at discounted prices. Based on next-generation architectures like NVIDIA Hopper and AMD CDNA 3, our graphics cards can speed up the most demanding data movements enabling high bandwidth memories and dense computes. The specialized Tensor cores, CUDA cores, Matrix Cores, and stream processors accelerate training for AI and DL models. These GPUs employ efficient FP16, FP32, and FP64 floating point formats for speed and extreme accuracy of data. Handle fewer bottlenecks with generous memory capacities and memory throughputs of GDDR6 and HBM2 to handle large datasets. For the intense computational needs of data sciences, select from the market’s most successful data analytics GPUs like NVIDIA H100, NVIDIA L40S, AMD MI300X, RTX 6000 Ada, etc. Place your orders from anywhere in India and get your GPUs shipped within 4 working days in secure packing with a genuine warranty and 24/7 help desk.

GPUs for Big Data Analytics – Process Large Datasets Seamlessly
Experience lesser wait time and analyze multi-TB datasets driving accuracy and swift reporting with our accelerated computing GPUs. Whether it is AMD’s latest Infinity fabric for excellent scaling, I/O, and communication or NVIDIA Ampere with much faster times to solutions, you get to choose from the topmost industry-standard accelerators. Their raw memory capacities are capable of AI, the highest memory bandwidth, tensor performance, NVlink, and high-performance FPs that can process massive amounts of information.

Multi-monitor Support with High Visualization
Project your work on multiple displays with the power of NVIDIA Mosaic multi-display and AMD Eyefinity to extend your desktops for optimal data visualization on high-resolution 4K monitors. Useful for presentations and demos, view the displays as a unified desktop without degrading the performance. Visualize complex data with large memory with high bandwidth, optimized for parallel processing. Choose from NVIDIA RTX 4090/4080/3090 for visualizing high-accuracy GPU Metrics and data tracing.

GPU Framework Compatibility for Accelerated Data Processing
ServerBasket’s NVIDIA and AMD specialized data analytics GPUs are discreetly made for large calculations. While NVIDIA leverages CUDA, RAPIDS, and TensorRT for big data workflows; AMD GPUs have ROCm, HIP, and MIOpen, support TensorFlow, and open-source to boost data insights. They use FP8 tensor cores to allow the smooth execution of AI-driven analytics. The ultra-fast multi-GPU connections, optimized data pipelines, GPU-accelerated data science libraries, and accelerated AI model training and inferences make them an excellent choice for data-driven workloads.

Real-time Data Processing with High Bandwidth and Memory
Facilitate large model data crunching with large HBM3, shared memory, and caches for tremendous speeds, real-time responsiveness, and throughputs. HBM3, 5.2 TB/s, infinity fabric interconnect in AMD holds one of the largest memory capacities to contain the largest datasets, Optimized with specialized memory types like ECC GDDR6, HBM3, and Multi-Instance GPU support, massive compute cores, NVLink & PCIe Gen5, these GPU architectures are designed for the lowest latencies, more bandwidth, and real-time data processing.
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