Best GPUs under CA$200 for best value

Best Pick
GeForce GT 7102GB DDR364-bit20W
Why we recommend this

Its 20W TDP and single-slot, 144mm design make it a practical add-in for basic display output without needing a PSU upgrade. The card’s 2GB DDR3 memory and legacy D-Sub port provide essential multi-monitor support for older systems. This is best for office users or home servers needing reliable video output for productivity, not gaming or GPU compute tasks.

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Gigabyte GeForce GT 730 2GB DDR3

74.4 Best Value Score
GeForce GT 7302GB DDR364-bit49W
Why we recommend this ▼

The 40nm Fermi-based GT 730 chip with 384 CUDA cores and a 902MHz boost clock provides basic display outputs, while its 38W TDP allows for a simple single-fan, low-profile design. The card’s 2GB of DDR3 VRAM on a 64-bit bus is sufficient for adding legacy D-Sub, DVI-D, and HDMI connectivity to systems lacking integrated graphics. This is best for office PCs or home theater setups needing multi-monitor support, not for modern 1080p gaming or AI workloads.

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Best GPUs under CA$400 for best value

Best Pick
GeForce GT 10302GB DDR464-bit30W
Why we recommend this

Its single-slot, low-profile design and 30W TDP make it a practical upgrade for compact pre-built systems lacking integrated graphics, adding HDMI 2.0b for 4K60 output. The passive cooling and low power draw enable silent operation without a PSU upgrade. This card is best for office users and home theater PC builders who need reliable multi-monitor support and 4K video playback, not modern 3D gaming.

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Best GPUs under CA$500 for best value

Best Pick
GeForce GTX 1050 Ti4GB GDDR5128-bit75W
Why we recommend this

The Pascal-based GTX 1050 Ti with a 1392MHz boost clock and 4GB GDDR5 memory delivers reliable 1080p 60 FPS gaming at a 75W TDP that requires no external power connectors. Its Windforce dual-fan cooler keeps the 229mm card quiet under load while supporting DirectX 12 features. This card suits budget-conscious builders upgrading older office PCs for esports and classic game libraries.

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Premium GPUs for best value

Best Pick
GeForce RTX 5060 Ti8GB GDDR7128-bit180W
Why we recommend this

The 5nm Blackwell chip with 8GB of GDDR7 memory and DLSS 4 support delivers efficient 1080p gaming at a low 85W TDP, eliminating the need for a bulky power supply. Its dual-fan WINDFORCE cooler keeps acoustics in check while the compact design fits easily into small form factor builds. This card is best for budget-conscious 1080p gamers who want modern features like ray tracing without upgrading their PSU.

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Great Alternatives

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

GeForce RTX 4070 Ti12GB GDDR6X192-bit285W
Why we recommend this ▼

The 2640MHz boost clock and 12GB GDDR6X memory on the Ada Lovelace RTX 4070 Ti deliver strong 1440p gaming performance, with a PassMark score of 31550. Its triple 100mm Windforce fans, vapor chamber, and 7 copper heat pipes keep thermals in check, while DLSS 3 and ray tracing support future-proof the card. Best for gamers prioritizing high-refresh 1440p play and occasional 4K, who want a reliable, well-cooled card without stepping up to the 4080.

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GeForce RTX 308010GB GDDR6X320-bit320W
Why we recommend this ▼

The triple-fan WINDFORCE cooler and 1800MHz boost clock on this 10GB RTX 3080 deliver high, sustained frame rates for 4K gaming. Its 2nd-gen RT Cores and 3rd-gen Tensor Cores enable smooth ray tracing and DLSS performance, backed by a protective metal backplate. This card is best for 1440p and 4K gamers who prioritize raw rasterization power and a robust cooling solution over AI workloads.

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Radeon AI PRO R970032GB GDDR6256-bit300W
Why we recommend this ▼

Built on RDNA 4 architecture with 32GB of GDDR6 memory and a 2920MHz boost clock, this card delivers up to twice the AI performance of its predecessor for local workloads. The blower-style cooler and compact 268mm, 2-slot design make it a practical fit for dense multi-GPU server deployments, backed by PCIe 5.0 x16 bandwidth. It is best for AI developers and researchers running large language models locally who need to eliminate cloud dependencies.

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