NVIDIA GeForce RTX 3090 XLR8 24GB GDDR6X
The 24GB GDDR6X frame buffer and 10,496 CUDA cores deliver 35.58 FP32 TFLOPS of compute, making it a standout for large AI model inference and 8K content creation. Its triple-fan cooler and 2.5-slot design keep the 350W TDP in check while the Amazon Renewed program offers a lower-risk entry point to flagship Ampere performance. This card is best for AI researchers running 24GB+ models locally and 3D artists needing massive VRAM for complex, GPU-accelerated renders.
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Snapshot
The 30-Second Version
The PNY GeForce RTX 3090 XLR8 is a 24GB Ampere graphics card that still excels at AI and LLM workloads thanks to its massive VRAM. Gaming performance is solid but not class-leading anymore, and efficiency is poor. It's expensive, but for memory-hungry tasks, it remains a compelling option.
Pros & Cons
Pros
- 24GB of VRAM is excellent for AI and LLM workloads 94th
- Strong 4K gaming performance with a 26,521 PassMark score 94th
- Ray tracing and DLSS support keep modern games playable 87th
- Triple-fan cooler handles the 350W TDP reasonably well 83rd
- NVLink support for dual-GPU setups
Cons
- Very expensive, even as a renewed unit
- 350W TDP means high power draw and heat output
- Only 2.5 slots, but still a huge 317mm card
- Efficiency is mediocre compared to newer architectures
- Limited connectivity options, no modern display outputs beyond standard
What owners think
The Word on the Street
The proof
Performance
The RTX 3090 XLR8 posts a PassMark G3D score of 26,521, which puts it well above average for raster performance in our database. It's not going to embarrass an RTX 5090 or even a 5080, but it's still a very capable 4K card. The 10,496 CUDA cores and 2,000MHz boost clock do real work, and the 35.58 FP32 TFLOPS figure means compute-heavy tasks still fly. Ray tracing performance lands in the upper tier, around the 87th percentile, so games with heavy RT effects remain playable at high settings, especially with DLSS doing the heavy lifting.
For AI and LLM use, this card is a standout. The 24GB of VRAM sits in the 94th percentile, and the AI score of 73 out of 100 reflects that. You can run large language models locally without hitting memory walls the way you would on a 16GB card. The 328 Tensor cores help with inference, and the 936 GB/s memory bandwidth keeps data moving. It's not the most efficient card for AI, but it gets the job done without constant out-of-memory errors.
Thermals are solid, not spectacular. The triple-fan design keeps things reasonable, and the thermal percentile lands around 73rd. It's a 350W card, so you'll want a 750W power supply and decent case airflow. The card is 317mm long, so check your case clearance before buying.
Specifications
Full Specifications
Chipset
| GPU Chipset | GeForce RTX 3090 |
| Brand | NVIDIA |
| Architecture | Ampere |
| Class | consumer |
| Process | 8 |
Memory
| VRAM | 24 GB |
| Memory Type | GDDR6X |
| Memory Bus | 384 |
| Bandwidth | 936.2 |
Compute
| CUDA Cores | 10496 |
| Tensor Cores | 328 |
| RT Cores | 82 |
| Base Clock | 1395 |
| Boost Clock | 2000 |
| FP16 TFLOPS | 35.58 |
| FP32 TFLOPS | 35.58 |
Performance
| PassMark G3D | 26521 |
| GPU Compute | 15150 |
Power & Cooling
| TDP | 350 |
| Recommended PSU | 750 |
| Cooler | Triple Fan |
| Fans | 3 |
Connectivity
| Interface | PCI Express 4.0 x16 |
| Max Resolution | 7680 x 4320 |
Physical
| Length | 317 |
| Slot Width | 2.5 |
| Form Factor | Full Height |
| Weight | 0.3 kg / 0.7 lbs |
Features
| Ray Tracing | Yes |
| Upscaling | DLSS |
| DirectX | 12 Ultimate |
| RGB | Yes |
vs Competition
Compared to the ASUS TUF RTX 5090, the 3090 XLR8 gets absolutely smoked in every performance metric. The 5090 has 32GB of faster GDDR7 memory, way more compute, and better ray tracing. But it also costs significantly more, assuming you can even find one. The Gigabyte AERO RTX 5080 is a closer fight. The 5080 has 16GB of VRAM, which is a downgrade for AI work, but it's more efficient and faster in raster and RT. The MSI Ventus RTX 5070 Ti is the value alternative. It's cheaper, more efficient, and has modern features like DLSS 4, but again, only 16GB of VRAM.
The ZOTAC APOCALYPSE RTX 5080 and Sapphire NITRO+ are also in the mix, but they don't change the core trade-off. If you're gaming first and AI second, buy a 5070 Ti or 5080. If you're AI first and gaming second, the 3090's 24GB still makes a compelling case, especially if you can find a renewed unit at a reasonable price.
| Spec | NVIDIA GeForce RTX 3090 XLR8 | ASUS TUF Gaming TUF-RTX5090-32G-GAMING | Gigabyte AORUS GV-N5080AORUS M-16GD | MSI Ventus RTX 5070 Ti 16G VENTUS 3X PZ OC | ZOTAC APOCALYPSE ZT-B50800C-10P | Sapphire NITRO+ 11322-01-40G |
|---|---|---|---|---|---|---|
| Chipset | GeForce RTX 3090 | GeForce RTX 5090 | GeForce RTX 5080 | GeForce RTX 5070 Ti | GeForce RTX 5080 | Radeon RX 7900 XTX |
| Vram | 24GB GDDR6X | 32GB GDDR7 | 16GB GDDR7 | 16GB GDDR7 | 16GB GDDR7 | 24GB GDDR6 |
| Boost Clock Mhz | 2000 | 2407 | 2805 | 2482 | 2730 | 2680 |
| Tdp W | 350 | 575 | 360 | 300 | 360 | 339 |
| Memory Bus Bits | 384 | 512 | 256 | 256 | 256 | 384 |
| Ray Tracing | true | true | true | true | true | true |
| GPU Class | consumer | consumer | consumer | consumer | consumer | consumer |
| Compare | Compare | Compare | Compare | Compare |
| Product | AI | Rt | Vram | Raster | Compute | Feature | Thermal | Efficiency | Connectivity | Social Proof | Affordability |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 3090 XLR8 | 93.7 | 87.4 | 94.2 | 69.8 | 83.4 | 60.5 | 72.4 | 29.4 | 5.4 | 58.4 | 9.7 |
| ASUS TUF Gaming TUF-RTX5090-32G-GAMING Compare | 96.9 | 90.1 | 97.6 | 98.7 | 97.6 | 96.2 | 72.4 | 24.6 | 99.3 | 99.1 | 3.5 |
| Gigabyte AORUS GV-N5080AORUS M-16GD Compare | 85.3 | 95.2 | 88.7 | 94.2 | 93.2 | 96.2 | 91.5 | 57.8 | 94 | 88.8 | 15.9 |
| MSI Ventus RTX 5070 Ti 16G VENTUS 3X PZ OC Compare | 79.2 | 92.2 | 85.6 | 88.8 | 87.9 | 96.2 | 91.5 | 72.9 | 94 | 88.8 | 21 |
| ZOTAC APOCALYPSE ZT-B50800C-10P Compare | 85.3 | 97.5 | 88.7 | 94.2 | 93.2 | 96.2 | 91.5 | 57.8 | 94 | 99.1 | 19.1 |
| Sapphire NITRO+ 11322-01-40G Compare | 94.9 | 96.1 | 91.7 | 83.8 | 95.5 | 83.9 | 91.5 | 52.7 | 98.7 | 78.4 | 17.6 |
Price
Value & Pricing
Value is where this card gets messy. The affordability percentile is a brutal 10th, and the budget score of 53.8 out of 100 is the weakest area by far. At $2,200 for a renewed unit, you're paying a premium for that 24GB of VRAM. For pure gaming, a used RTX 4080 or even a new RTX 5070 Ti will give you better efficiency and similar or better raster performance for less money. But if you need the memory for AI work, the math changes. The RTX 3090 is one of the cheapest ways to get 24GB of VRAM, and that's the whole ballgame for local LLM enthusiasts. Just know you're trading efficiency and modern features for raw memory capacity.
Read more
Overview
The PNY GeForce RTX 3090 XLR8 Gaming Uprising EPIC-X RGB is a big, hungry Ampere flagship that still turns heads in 2025. It's a triple-fan, 2.5-slot card with 24GB of GDDR6X memory and a 384-bit bus pushing 936 GB/s. That's a lot of VRAM, and it's the main reason this card keeps showing up in AI and workstation conversations. This particular listing is an Amazon Renewed unit, so it's pre-owned or refurbished but inspected and tested to work like new. Pricing is all over the place right now, with a single US listing around $2,200 and a UK listing near £1,913.
People searching for this card usually want to know two things: is it still good for gaming, and can it handle AI workloads? The short answer is yes to both, with some caveats. For 4K gaming, the RTX 3090 still delivers strong raster performance, though newer cards have caught up or passed it in raw frames. For AI and LLM work, the 24GB frame buffer is the star. You can run models locally that would choke cards with 12GB or 16GB.
It's not a value play by any stretch. The affordability percentile is near the bottom of the barrel, and efficiency is mediocre at best. But if you need the memory and you find a decent renewed deal, this card still has a pulse.
Common Questions
Q: Is the RTX 3090 good for AI and machine learning?
Yes, the RTX 3090 is excellent for AI and machine learning thanks to its 24GB of GDDR6X VRAM, which lets you run large models locally without running out of memory.
Q: Can the RTX 3090 run 4K games?
Yes, the RTX 3090 handles 4K gaming well with a PassMark score of 26,521, and DLSS support helps maintain high frame rates in demanding titles.
Q: How much power does the RTX 3090 need?
The RTX 3090 has a 350W TDP, and PNY recommends a 750W power supply for this card.
Q: Is the RTX 3090 still worth buying in 2025?
For AI and LLM work, yes, the 24GB of VRAM makes it worth considering. For pure gaming, newer cards like the RTX 5070 Ti offer better efficiency and similar performance for less money.
Who Should Skip This
Skip this card if you're a pure gamer. The RTX 3090 XLR8 is inefficient, expensive, and outclassed by newer cards in raster and ray tracing. A used RTX 4080 or new RTX 5070 Ti will serve you better for less money. Also skip it if your case can't fit a 317mm card or if your power supply is under 750W. And if you don't need 24GB of VRAM, there's no reason to pay the premium. This is a niche card for AI enthusiasts and workstation users who need the memory, not a general-purpose gaming GPU.
Verdict
Should you buy this? If you need 24GB of VRAM for AI or LLM work and you don't want to spend RTX 5090 money, yes, this is still one of the best options out there. The renewed listing adds some risk, but Amazon's guarantee takes the edge off. For pure gaming, no. You can get better performance per dollar and per watt from newer cards. The RTX 3090 XLR8 is a specialist's card in 2025. It's for people who know exactly why they need that memory and are willing to pay for it.
Usage Scores
- Overall66.3
- AI/LLM73.5
- Budget54.2
- Gaming 4k65.4
- Ray Tracing73.1
- Workstation64.6
- Gaming 1080p62.1
- Gaming 1440p66.1
- Content Creation60.9