NVIDIA RTX 4000 Ada 20GB GDDR6 workstation
The Ada Lovelace architecture and 20GB of ECC GDDR6 memory on a single-slot, 120mm card deliver substantial 6144 CUDA core compute in a compact form factor. AV1 encode/decode support and four DisplayPort 1.4a outputs make it a versatile card for multi-display and modern video workflows. This GPU is best for engineers and AI developers needing certified, power-efficient workstation performance in small-form-factor or dense multi-GPU chassis.
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概要
The 30-Second Version
The RTX 4000 Ada is a 130W workstation card with 20GB VRAM and best-in-class efficiency. It's a beast for AI and pro workflows, but the 160-bit memory bus and high price hold it back for gaming. Worth it for compact pro builds, skip it if you want raw gaming performance.
Pros & Cons
長所
- Best-in-class efficiency at 130W TDP 99th
- 20GB VRAM handles large AI models and scenes 90th
- Single-slot, 120mm form factor fits almost anywhere 82nd
- Strong AI and compute performance for the power draw
短所
- 160-bit memory bus limits bandwidth to 360 GB/s
- Thermals are a real weak spot, 7th percentile
- Price is brutal for what you get in raw rasterization
- Only 4x DisplayPort 1.4a, no HDMI
実証データ
Performance
The 6144 CUDA cores and 192 Tensor cores put this card in the 90th percentile for AI workloads in our database. That's genuinely impressive for a 130W card. FP16 and FP32 both hit 26.7 TFLOPS, which means it handles mixed-precision AI tasks without breaking a sweat. The PassMark G3D score of 23662 lands it in solid territory for rasterization, around the 64th percentile. Ray tracing is more middle-of-the-pack at the 55th percentile, so don't expect RTX 4090-level frame rates in Blender viewports. The 20GB of VRAM is a real asset for large models and complex scenes, sitting in the 82nd percentile. AV1 encode support is a nice bonus for video pros.
Specifications
Full Specifications
Chipset
| GPU Chipset | RTX 4000 Ada |
| Brand | NVIDIA |
| Architecture | Ada Lovelace |
| Class | workstation |
| Process | 5 |
Memory
| VRAM | 20 GB |
| Memory Type | GDDR6 |
| Memory Bus | 160 |
| Bandwidth | 360 |
Compute
| CUDA Cores | 6144 |
| Tensor Cores | 192 |
| RT Cores | 48 |
| Base Clock | 1500 |
| Boost Clock | 2175 |
| FP16 TFLOPS | 26.73 |
| FP32 TFLOPS | 26.73 |
Performance
| PassMark G3D | 23662 |
| GPU Compute | 11897 |
Power & Cooling
| TDP | 130 |
| Recommended PSU | 300 |
Connectivity
| Interface | PCI Express 4.0 x16 |
| DisplayPort | 4 |
| HDMI | 0 |
Physical
| Length | 120 |
| Slot Width | 1 |
| Form Factor | Full Height |
Features
| Ray Tracing | Yes |
| AV1 Encode | Yes |
| DirectX | 12 |
vs Competition
Against the ASUS TUF RTX 5090, the 4000 Ada gets absolutely destroyed in raw performance. The 5090 has more than double the CUDA cores and a much wider memory bus. But it also draws 4-5x the power and costs significantly more. The Gigabyte RTX 5070 Ti AERO and MSI RTX 5070 Ti are closer in price and beat the Ada in gaming and rasterization, but they can't touch its efficiency or single-slot form factor. The ZOTAC RTX 5080 and Sapphire NITRO+ are also strong competitors, but again, they're gaming cards first. The Ada is for people who need pro drivers, low power draw, and compact builds.
| Spec | NVIDIA RTX 4000 Ada | ASUS TUF Gaming TUF-RTX5090-32G-GAMING | MSI Ventus RTX 5070 Ti 16G VENTUS 3X PZ OC | Gigabyte AORUS GV-N5080AORUS M-16GD | ZOTAC APOCALYPSE ZT-B50800C-10P | Sapphire NITRO+ 11322-01-40G |
|---|---|---|---|---|---|---|
| Chipset | RTX 4000 Ada | GeForce RTX 5090 | GeForce RTX 5070 Ti | GeForce RTX 5080 | GeForce RTX 5080 | Radeon RX 7900 XTX |
| Vram | 20GB GDDR6 | 32GB GDDR7 | 16GB GDDR7 | 16GB GDDR7 | 16GB GDDR7 | 24GB GDDR6 |
| Boost Clock Mhz | 2175 | 2407 | 2482 | 2805 | 2730 | 2680 |
| Tdp W | 130 | 575 | 300 | 360 | 360 | 339 |
| Memory Bus Bits | 160 | 512 | 256 | 256 | 256 | 384 |
| Ray Tracing | true | true | true | true | true | true |
| GPU Class | workstation | consumer | consumer | consumer | consumer | consumer |
| Compare | Compare | Compare | Compare | Compare |
| 製品 | AI | Rt | Vram | Raster | Compute | Feature | Thermal | Efficiency | Connectivity | ユーザー評価 | Affordability |
|---|---|---|---|---|---|---|---|---|---|---|---|
| NVIDIA RTX 4000 Ada | 89.7 | 55.5 | 81.5 | 63.7 | 64.4 | 47.6 | 6.8 | 98.7 | 49.5 | 50.6 | 10.6 |
| ASUS TUF Gaming TUF-RTX5090-32G-GAMING Compare | 96.9 | 90.1 | 97.6 | 98.7 | 97.5 | 96.2 | 72.7 | 25 | 99.3 | 99.1 | 3.5 |
| MSI Ventus RTX 5070 Ti 16G VENTUS 3X PZ OC Compare | 79.2 | 92.2 | 85.5 | 88.7 | 87.9 | 96.2 | 91.5 | 73.1 | 94 | 88.8 | 21 |
| Gigabyte AORUS GV-N5080AORUS M-16GD Compare | 85.1 | 95.2 | 88.6 | 94.2 | 93.2 | 96.2 | 91.5 | 58 | 94 | 88.8 | 15.8 |
| ZOTAC APOCALYPSE ZT-B50800C-10P Compare | 85.1 | 97.5 | 88.6 | 94.2 | 93.2 | 96.2 | 91.5 | 58 | 94 | 99.1 | 19.2 |
| Sapphire NITRO+ 11322-01-40G Compare | 94.8 | 96.1 | 91.6 | 83.9 | 95.5 | 83.9 | 91.5 | 52.9 | 98.7 | 78.3 | 18.6 |
価格
Value & Pricing
Here's the thing. At USD 1,914 in the US, this card is expensive for what it delivers in traditional graphics workloads. But in Canada, the spread is wild, CAD 3,000 to CAD 4,200 across three listings. That's a CAD 1,200 gap for the exact same card. If you're buying in Canada, shop around hard. The budget score of 41.4 out of 100 tells the story. You're paying for the efficiency and the pro driver support, not raw performance per dollar.
詳細情報
Overview
The RTX 4000 Ada is a workstation card that punches way above its weight class for AI and efficiency. It's a single-slot, 120mm card with 20GB of GDDR6 and a 130W TDP, which is frankly absurd for what it delivers. We're talking 26.7 TFLOPS of FP32 compute in a package that sips power compared to most gaming flagships.
But this is not a gaming card. It's built for pro workflows, AI inference, and content creation. The 160-bit memory bus and 360 GB/s bandwidth are fine for most workstation tasks, but they hold it back in raw rasterization compared to consumer cards at similar prices.
Common Questions
Q: Is the RTX 4000 Ada good for gaming?
It can game, but it's not built for it. The 160-bit memory bus and 360 GB/s bandwidth limit performance in modern titles compared to consumer cards at similar prices. You'd be better off with an RTX 5070 Ti or 5080 for gaming.
Q: Can this card handle large AI models?
Yes, the 20GB of VRAM and 192 Tensor cores make it well-suited for AI inference and fine-tuning. It sits in the 90th percentile for AI workloads in our database, which is impressive for a 130W card.
Q: Will it fit in a small form factor case?
Absolutely. It's a single-slot card at 120mm long, so it fits in almost any case. Just make sure your power supply can handle the 300W recommended PSU, even though the card itself only draws 130W.
Who Should Skip This
Skip this if you're a gamer or need high refresh rate performance. The 160-bit memory bus and middling ray tracing scores mean you'll get better frame rates from a consumer RTX 5070 Ti or 5080 for less money. Also skip it if you need HDMI output, since it only has DisplayPort 1.4a. And if you're on a tight budget, the 11th percentile affordability score should be a red flag.
Verdict
If you're building a compact workstation for AI inference, 3D modeling, or video editing, and you care about power efficiency, the RTX 4000 Ada is a fantastic choice. It's quiet, small, and handles pro workloads with ease. But if you're a gamer or need maximum rasterization performance, look elsewhere. This card is a specialist, not a generalist.
Usage Scores
- 総合61.5
- AI/LLM60.7
- Budget41.4
- Gaming 4k41.7
- Ray Tracing42.4
- Workstation67
- Gaming 1080p48.4
- Gaming 1440p46.4
- Content Creation56