Next-Gen Architecture

    Advanced GPU Architecture For Your Computing Needs

    Compare performance metrics, architectures, and specifications to find your ideal GPU for gaming, AI workloads, or creative applications.

    GPU Architecture Evolution

    Explore the historical development of NVIDIA's GPU architectures

    View All GPUs
    2006

    Tesla Architecture

    Introduced in 2006, the Tesla architecture marked NVIDIA's first unified shader architecture, enabling more flexible and efficient processing by allowing shaders to handle multiple tasks.

    Key Innovations

    • Unified shader model
    • Improved parallel processing capabilities

    Notable GPUs

    GeForce 8 series
    Tesla series for high-performance computing
    2010

    Fermi Architecture

    Launched in 2010, Fermi introduced significant advancements such as improved double-precision performance and error-correcting memory, catering to both gaming and scientific computing needs.

    Key Innovations

    • Enhanced parallelism
    • Better memory management
    • Support for CUDA 3.0

    Notable GPUs

    GeForce 400 and 500 series
    Tesla C2050
    2012

    Kepler Architecture

    Kepler, introduced in 2012, focused on energy efficiency and performance per watt, making GPUs more power-efficient without compromising performance.

    Key Innovations

    • Dynamic Parallelism
    • Hyper-Q technology
    • Improved SMX design

    Notable GPUs

    GeForce 600 and 700 series
    Tesla K20
    2014

    Maxwell Architecture

    Released in 2014, Maxwell brought further improvements in energy efficiency and introduced technologies aimed at enhancing gaming performance and visual quality.

    Key Innovations

    • Improved memory compression
    • VXGI (Voxel Global Illumination)
    • Support for DirectX 12

    Notable GPUs

    GeForce 900 series
    GTX 750 Ti
    2016

    Pascal Architecture

    Introduced in 2016, Pascal marked a significant leap in performance and efficiency, utilizing a 16nm manufacturing process and supporting new memory technologies.

    Key Innovations

    • NVLink interconnect
    • Support for HBM2 memory
    • Enhanced compute capabilities

    Notable GPUs

    GeForce 10 series
    Tesla P100
    2017

    Volta Architecture

    Launched in 2017, Volta was designed primarily for data centers and AI workloads, introducing Tensor Cores to accelerate deep learning tasks.

    Key Innovations

    • Tensor Cores for AI acceleration
    • Improved FP64 performance

    Notable GPUs

    Tesla V100
    2018

    Turing Architecture

    Released in 2018, Turing introduced real-time ray tracing capabilities and AI-based features, significantly enhancing visual realism in gaming and professional graphics.

    Key Innovations

    • RT Cores for ray tracing
    • Tensor Cores for AI
    • Support for GDDR6 memory

    Notable GPUs

    GeForce RTX 20 series
    Quadro RTX series
    2020

    Ampere Architecture

    Introduced in 2020, Ampere built upon its predecessors by offering substantial improvements in performance and efficiency, catering to both gaming and data center markets.

    Key Innovations

    • Third-generation Tensor Cores
    • Second-generation RT Cores
    • Support for GDDR6X memory

    Notable GPUs

    GeForce RTX 30 series
    A100 Tensor Core GPU
    2022

    Ada Lovelace Architecture

    Released in 2022, Ada Lovelace architecture focused on advancing ray tracing and AI capabilities, delivering higher performance and efficiency for gaming and professional applications.

    Key Innovations

    • Fourth-generation Tensor Cores
    • Third-generation RT Cores
    • Enhanced DLSS technology

    Notable GPUs

    GeForce RTX 40 series
    RTX 6000 Ada Generation
    2025

    Blackwell Architecture

    Announced in early 2025, Blackwell architecture represents NVIDIA's latest innovation, emphasizing AI-driven neural rendering and significant performance enhancements.

    Key Innovations

    • Neural Shaders
    • DLSS 4
    • Enhanced real-time rendering capabilities

    Notable GPUs

    GeForce RTX 50 series

    Discover the Perfect GPU Architecture

    Our comprehensive analysis tools help you make data-driven hardware decisions

    In-Depth GPU Analysis

    Access the latest GPU technologies and detailed performance benchmarks with insights from industry experts.

    Advanced Comparisons

    Compare GPUs side-by-side with feature breakdowns, benchmarks, and detailed performance metrics across scenarios.

    Tech Community

    Connect with GPU experts and tech enthusiasts to share experiences and get hardware recommendations.

    Performance Tools

    Utilize our advanced calculators and AI-powered algorithms for precise hardware requirement planning.

    Specialized Filtering

    Find exactly what you need with powerful search filters across technical specifications and use cases.

    Real-Time Analytics

    Stay updated with real-time price tracking and performance trends across multiple retailers.

    Gaming Benchmarks

    See how each GPU performs in popular games with detailed FPS metrics at various resolutions and settings.

    AI Compute Analysis

    Understand which GPUs excel at different AI and machine learning workflows with specialized benchmarks.

    GPU Performance Metrics

    Detailed benchmarks and specifications to help you make data-driven decisions for your specific computing requirements.

    Frame Rate Analysis

    Compare real-world FPS performance across multiple titles and resolutions

    Compute Performance

    Evaluate raw computational power with FLOPS, tensor operations, and throughput metrics

    Power Efficiency

    Analyze performance-per-watt ratios and thermal characteristics under load

    Precision Analytics

    Compare GPU Architectures Side by Side

    Get detailed comparisons of compute performance, memory bandwidth, and power efficiency metrics to make the perfect choice for your technical requirements.

    Performance Metrics

    Detailed FLOPS, memory bandwidth, and compute efficiency

    Architecture Analysis

    Deep dive into core counts, cache hierarchy, and bus width

    Compute Capability

    Tensor core performance and specialized workload optimization