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Tech With TimYouTube, 2.1M followers“And I can tell you from my experience, I have a 4090, I have the M5 Max, 64 gigabyte, and I have the DG spark. All of those are good enough for running local AI.”
Watch the video at 16:561 more report from Tech With Tim
“So for example, I have 24GB of Ram in my 4090. And it's very fast and can generate, you know, 200 tokens per second for some of the models that I run.”
Watch the video at 8:25
Specifications
- NVIDIA CUDA ® Cores
- 16384
- Boost Clock (GHz)
- 2.52
- Base Clock (GHz)
- 2.23
- Standard Memory Config
- 24 GB GDDR6X
- Memory Interface Width
- 384-bit
- NVIDIA Architecture
- Ada Lovelace
- NVIDIA Encoder (NVENC)
- 2x 8th Generation
- NVIDIA Decoder (NVDEC)
- 5th Generation
- CUDA Capability
- 8.9
- Maximum Resolution & Refresh Rate
- 4K at 240Hz or 8K at 60Hz with DSC, HDR
- Standard Display Connectors
- HDMI (2) , 3x DisplayPort (3)
- Multi Monitor
- up to 4
- Hdcp
- 2.3
- Length
- 304 mm
- Width
- 137 mm
- Slots
- 3-Slot (61mm)
- Maximum GPU Temperature (in C)
- 90
- Average Gaming Power (W)
- 315
- Total Graphics Power (W)
- 450
- Required System Power (W)
- 850
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Creators who use this also use

RTX 4090 (24GB VRAM GPU)
also used by 1 of them

Dell Pro Max Desktop with NVIDIA Blackwell (GB10)
also used by 1 of them

DGX Spark
also used by 1 of them
M5 Max
also used by 1 of them

Mac
also used by 1 of them

MacBook Pro (M5 Max)
also used by 1 of them