Best Pick

NVIDIA 900-1G144-2545-000

80.9 Best Value Score
GeForce RTX 508016GB GDDR7256-bit360W
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Great Alternatives

These options also score highly and may better suit your specific needs

NVIDIA GeForce RTX 4080 Founders Edition 16GB GDDR6X

77.3 Best Value Score
GeForce RTX 408016GB GDDR6X256-bit320W
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.

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NVIDIA GeForce RTX 3080 10GB GDDR6X

61.1 Best Value Score
GeForce RTX 308010GB GDDR6X320-bit165W
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.

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NVIDIA 900-5G133-2550-000

42.5 Best Value Score
RTX 6000 Ada48GB GDDR6384-bit300W
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NVIDIA 900-5G172-2580-000

35.1 Best Value Score
RTX A10008GB GDDR6128-bit50W
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NVIDIA Blackwell GPU Jetson Thor 128GB workstation

30.1 Best Value Score
NVIDIA Blackwell GPU128GB
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.

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