Alternatives

Products that do what NVIDIA Geforce RTX 5090 does

Most powerful GeForce GPU ever made

1. 1
   Nvidia Blackwell B200 GPU▲146

   The world’s most powerful chip’ for AI

   2024

2. 2
   NVIDIA Geforce RTX 5070 Ti▲124

   Supercharge gaming with DLSS 4, NVIDIA Studio, and AI

   2025

3. 3
   Xbox Series X▲283

   Microsoft's fastest, most powerful console ever

   2019

4. 4
   Project G-Assist▲196

   On-GPU AI, built for the game

   2025

5. 5
   Aorus 15P▲77

   Portable gaming laptop by Gigabyte designed for esports pros

   2020

6. 6
   CUDA 13.1▲167

   The biggest CUDA expansion since 2006

   Dec 2025

7. 7
   Xbox One X▲250

   The world's most powerful console with 4K gaming

   2017

8. 81T
   15FPS to 60FPS, new GPU real-time flow-based method▲112

   2020 · youtube.com

9. 9VA
   Vector - A High-Level Programming Language for GPU Computing▲142

   2013 · zhehaomao.com

10. 10
    NVIDIA Jetson Nano▲164

    Bringing the power of modern AI to millions of devices

    2019

11. 11
    Thunder Compute (YC S24)▲116

    Self-host AI/ML with the world's cheapest GPU cloud

    2025

12. 12
    Steam Deck▲117

    The most powerful, full-featured handheld gaming PC

    2021

13. 13
    Steam Machine▲186

    A tiny, powerful PC for big-screen gaming

    Jun 2026

14. 14OM
    OS Megakernel that match M5 Max Tok/w at 2x the Throughput on RTX 3090▲6

    Hey there, we fused all 24 layers of Qwen3.5-0.8B (a hybrid DeltaNet + Attention model) into a single CUDA kernel launch and made it open-source for everyone to try it. On an RTX 3090 power-limited to 220W: - 411 tok/s vs 229 tok/s on M5 Max (1.8x) - 1.87 tok/J, beating M5 Max efficiency - 1.55x faster decode than llama.cpp on the same GPU - 3.4x faster prefill The RTX 3090 launched in 2020. Everyone calls it power-hungry. It isn't, the software is. The conventional wisdom NVIDIA is fast but thirsty. Apple Silicon is slow but sips power. Pick a side. With stock frameworks, the…

    Apr 2026 · github.com

15. 15
    GPU.LAND▲126

    Affordable cloud GPUs for deep learning

    2021

16. 16
    mClassic▲111

    Plug & play graphics processor

    2019

17. 17
    Razer Blade Stealth 13▲99

    World's first gaming ultrabook

    2019

18. 18PB
    Physically-Based GPU Pathtracer with Mitsuba XML Support▲63

    2021 · github.com

19. 19AL
    A Language for Programming GPUs▲12

    2019 · dev.to

20. 20
    nCompass AI Assistant▲88

    Enabling everyone to write GPU kernels

    Mar 2026

21. 21
    ASUS ROG Phone II▲75

    A gaming phone with world class specs

    2019

22. 22
    GPD WIN3▲74

    The world’s 1st handheld AAA game console

    2021

23. 23MG
    Most GPU Upgrades Aren't Worth It, I Built a Calculator to Prove It▲8

    I run a small project called best-gpu.com, a site that ranks GPUs by price-to-performance. While browsing PC building forums and Reddit, I kept seeing the same question: “What should I upgrade to from my current GPU?” Most answers are just lists of cards without showing the actual performance gain, so people often end up paying for upgrades that barely improve performance. So I built a small tool: a GPU Upgrade Calculator. You enter your current GPU and it shows: estimated performance gain a value score based on price vs performance a filtered list of upgrade options (brand, price, VRAM,…

    Mar 2026 · best-gpu.com

24. 24AM
    A Minimal Code Example of Using Vulkan for Computations on the GPU▲68

    2017 · github.com

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