Best NVIDIA GPUs in 2026
No GPUs under £200 yet. See our top picks under £600
No GPUs under £400 yet. See our top picks under £600
Best GPUs under £600 for everyday use
Best GPUs under £900 for everyday use
NVIDIA 900-5G192-2541-000
Great Alternatives
These options also score highly and may better suit your specific needs
NVIDIA Quadro RTX 5000 16GB GDDR6 workstation
NVIDIA GeForce RTX 2080 SUPER 8GB
Premium GPUs for everyday use
NVIDIA 900-1G144-2545-000
Great Alternatives
These options also score highly and may better suit your specific needs
NVIDIA GeForce RTX 4080 Founders Edition 16GB GDDR6X
Why we recommend this ▼
The Ada Lovelace architecture and 16GB of GDDR6X memory on a 256-bit bus deliver a 24.72 FP32 TFLOPS compute ceiling, making 4K gaming and ray tracing fluid at high frame rates. DLSS 3 frame generation and AV1 encoding provide a meaningful uplift in supported titles and streaming workflows, while the Founders Edition cooler keeps the 320W card within a manageable 3-slot footprint. This GPU is best for 1440p and 4K gamers who want top-tier ray tracing performance without stepping up to the flagship RTX 4090.
NVIDIA GeForce RTX 3080 10GB GDDR6X
Why we recommend this ▼
Built on the 8nm Ampere architecture, it delivers 30.6 FP32 TFLOPS of compute power and 10GB of GDDR6X memory with a 912 GB/s bandwidth for high-fidelity 4K gaming. The Founders Edition design offers a premium dual-axial flow-through thermal solution that keeps the 165W TDP chip cool under load. This card is best for gamers targeting high-refresh 1440p or smooth 4K experiences who want robust ray tracing performance.
NVIDIA Blackwell GPU Jetson Thor 128GB workstation
Why we recommend this ▼
Equipped with a 2560-core NVIDIA Blackwell GPU and 96 fifth-gen Tensor Cores, this developer kit delivers 2070 TFLOPS of AI performance for demanding model training. The 128GB memory pool and dedicated AI acceleration make it a specialized tool for edge computing and robotics prototyping. This kit is best for AI researchers and robotics engineers developing and deploying large language models directly on-device.
