Topaz Video Enhance AI, now called Topaz Video AI, is one of the few consumer apps that can actually pin a high-end GPU at 100% for hours. It upscales, denoises, and interpolates video frame by frame, and it scales far better with GPU compute than with CPU cores. If you are buying a card specifically for this work, raw gaming fps means very little. What matters is AI throughput, VRAM capacity, and driver stability.
I have run Topaz on everything from a laptop 3060 to a desktop 4090. The difference is not subtle. A 30-second 720p to 4K upscale with Proteus that takes 12 minutes on a midrange card can take under 3 minutes on a flagship NVIDIA card. If you process long VHS archives or client work, that time adds up fast.
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Top 3 picks at a glance
How Topaz Video AI actually uses your GPU
Topaz Video AI is heavily GPU-dependent and heavily optimized for NVIDIA. Since version 3.x, Topaz has leaned into NVIDIA TensorRT optimization, which gives GeForce RTX cards, especially RTX 30-series and 40-series, a large speedup on models like Proteus, Artemis, Iris, and Nyx.
AMD cards work, and recent versions have improved with DirectML and OpenVINO paths, but they are typically 30-60% slower than a similarly priced NVIDIA card in the same model. Intel Arc has made big progress and offers strong value for AV1 encode, but for pure Topaz enhancement speed, it still trails NVIDIA.
VRAM is the second factor. Topaz loads the AI model plus several frames into VRAM. For 1080p to 4K work, 8GB is workable. For 4K to 8K, multi-frame enhancement, or Iris face recovery at high settings, 12GB to 16GB is far more stable. Run out of VRAM and Topaz will either fall back to CPU, crawl at 1-2 fps, or throw an out-of-memory error halfway through a 4-hour render.
NVIDIA vs AMD vs Intel for Topaz
For Topaz, buy NVIDIA unless you have a specific reason not to. This is not brand loyalty, it is how the software is coded. Tensor cores and TensorRT give RTX cards much higher fps in Proteus and Nyx. You also get CUDA, better Studio drivers, and NVENC for fast H.264/H.265/AV1 export after enhancement.
AMD makes sense if you already own a card like an RX 6800 XT or RX 7900 XTX and do Topaz occasionally. You do not need to replace it just for Topaz, but I would not buy AMD for Topaz if you are starting from scratch. Expect longer renders and check Topaz forums for model-specific quirks. Some versions have had broken performance on RDNA 3 that took a patch or two to fix.
Intel Arc A770 16GB and A750 are interesting budget options. The 16GB on the A770 helps with larger upscales, and Intel’s AV1 encoder is excellent. The failure mode is driver maturity. You will need to keep drivers and Topaz updated together. For a dedicated budget Topaz box, it is usable, but for paid work, NVIDIA is more predictable.
What to buy for different workloads
Best overall for most people: RTX 4070 SUPER 12GB. This is the sweet spot I recommend to most hobbyists converting DVDs, YouTube footage, or family video to 1080p or 4K. It has current-gen Tensor cores, good power efficiency, and enough VRAM for 4K Proteus and Iris without constant memory errors. In real terms, expect roughly 8-12 fps on 1080p to 4K Proteus Auto, versus 3-5 fps on an RTX 3060 12GB. You can find it by searching for RTX 4070 Super graphics cards and sticking to dual or triple-fan models from a brand you trust.
Best for heavy 4K and batch work: RTX 4090 24GB or RTX 4080 SUPER 16GB. If you upscale feature-length video, run Nyx denoising on 4K camera files, or stack enhancement + 2x slow motion, VRAM and throughput matter more than price. The 4090 is about 1.7-2x faster than a 4070 SUPER in Topaz and can hold larger tile sizes without paging to system RAM. It is huge, power-hungry, and overkill for occasional clips. Do not buy it unless you bill for time or process hundreds of files a month. The 4080 SUPER gets you most of the speed with 16GB and a lower power draw, which is why many small studios pick it.
Best budget option: RTX 4060 Ti 16GB or used RTX 3060 12GB. Here is where I am honest: you do not need a flagship. If you do 480p to 1080p or 720p to 1080p, a cheaper NVIDIA card with 12GB+ will finish the job, just slower. The RTX 4060 Ti 16GB version is specifically worth seeking out over the 8GB version for Topaz. That extra VRAM prevents crashes on Iris High and 4K outputs. A used 3060 12GB is even cheaper and still supported well by TensorRT, but expect 2-4 fps at 4K. That is fine overnight, painful if you are on deadline.
AMD alternative if you also game: RX 7900 XTX 24GB. This card is excellent for raster gaming and has tons of VRAM for large timelines. In Topaz it will still lose to an RTX 4070 Ti SUPER that costs less, often by a wide margin in Nyx and Proteus. Only choose it if gaming or DaVinci Resolve VRAM capacity is your priority and Topaz is secondary. You can compare current prices on RX 7900 XTX models before deciding.
| GPU | VRAM | Typical 1080p to 4K Proteus speed* | Best for | Main drawback |
|---|---|---|---|---|
| RTX 3060 12GB (used) | 12GB | 3-5 fps | Budget SD to HD archives | Slow for 4K output, no AV1 encode |
| RTX 4060 Ti 16GB | 16GB | 6-8 fps | Stable budget 4K upscales | Narrow bus, poor value for gaming |
| RTX 4070 SUPER | 12GB | 8-12 fps | Most hobbyists, best value | 12GB can limit 4K to 8K work |
| RTX 4080 SUPER | 16GB | 13-17 fps | Freelancers, batch 4K | Price, large cooler |
| RTX 4090 | 24GB | 18-24 fps | 8K, Nyx, commercial volume | Power, size, cost |
| RX 7900 XTX | 24GB | 5-8 fps | Mixed gaming + occasional Topaz | Much slower in Topaz than NVIDIA peers |
*Speed varies by Topaz version, model, input codec, and settings. Iris with face recovery and Nyx at high denoise are 30-50% slower than these Proteus figures.
VRAM, power, and settings that prevent failures
Do not pair a powerful GPU with 16GB of system RAM and a weak power supply. Topaz benefits from 32GB system RAM when you do 4K work, fast NVMe scratch space, and a PSU with 150-200W headroom over your GPU rating. A 4090 that hits power limit and thermally throttles in a small case will be slower than a well-cooled 4080 SUPER.
In Topaz preferences, set AI Processor to your discrete GPU, not Auto, especially on laptops with integrated graphics. If you have an NVIDIA card, download the model optimizations when prompted. Set Max Memory Usage to 80-90% on 12GB+ cards. If you get errors at 100%, drop Tile Size or close browsers and Discord. Chrome with hardware acceleration can eat 1-2GB of VRAM in the background.
For laptops, be realistic. A laptop RTX 4070 will run at 80-115W versus 200W on desktop and throttle after 20 minutes. It works for short clips, but for all-night renders, a desktop card will finish sooner and live longer. If you must use a laptop, raise the back for airflow and use a cooling pad.
What not to buy for Topaz
Avoid 8GB cards if 4K output is your goal. RTX 3060 Ti, RTX 4060, RTX 4060 Ti 8GB, and RX 7600 XT will all run Topaz, but you will hit VRAM limits with Iris and Nyx at 4K. You will be forced to use smaller tile sizes and lower memory settings, which cuts the speed advantage you paid for.
Avoid buying two midrange cards hoping Topaz will use both. Multi-GPU support is inconsistent and often slower due to sync overhead. One strong NVIDIA card beats two weaker cards almost every time. Also avoid workstation cards like older Quadros for this task unless you need certified drivers. A consumer GeForce card is faster per dollar in Topaz.
FAQ
Is CPU important for Topaz Video AI?
Less than GPU, but it still matters for decoding and encoding. A modern 6-core or 8-core CPU like a Ryzen 5 7600 or i5-13400 is enough. Spend the extra money on GPU and VRAM first, then 32GB RAM and fast storage.
How much VRAM do I need for 4K upscaling?
12GB is the practical minimum for comfortable 1080p to 4K work with Proteus and Iris. Move to 16GB or 24GB if you do 4K to 8K, heavy denoising, or long batch queues without babysitting settings.
Does Topaz work better with Studio drivers or Game Ready drivers?
Use NVIDIA Studio drivers if Topaz is for work. They are tested more for creative apps and tend to have fewer crashes during long renders. Performance is usually identical, stability is better.
Should I buy AMD to save money for Topaz?
Usually no. An AMD card that matches an NVIDIA card in gaming will often be much slower in Topaz. The cheaper option is fine only if Topaz is occasional and gaming is the priority. If Topaz is the main job, the cheaper NVIDIA card with more VRAM is the better save.
