I’ve had an NVIDIA T600 in my HP ProDesk 400 G7 SFF PC for a couple of years now, and I’ve got to say, for what it is, it’s been a surprisingly solid little GPU.
I originally got it because I needed something that would fit inside a small form factor case, and gaming GPUs were either too big and too power-hungry. The T600 seemed like a good middle ground, workstation class, low power, and still capable of a bit of everything.
The T600 is single-slot, so it fits perfectly without blocking airflow or running into clearance issues. At 40W, it also doesn’t need extra power connectors, which is another advantage over most low-profile GTX and RTX cards. Those either require a 6-pin power connector or draw more power than an SFF PSU is designed to handle. The T600, on the other hand, just slots in and works. No extra cables, no PSU upgrades, nothing.
I’ve been using it on Windows Server 2025, and apart from manually installing the drivers, I haven’t really had to mess with it much. I’ve got Steam running fine, so I wanted to see how well it handles games, and honestly, it does better than I expected.
HP ProDesk 400 G7 SFF, the PCIe x16 slot is positioned right next to the PSU, which explains why a double-slot low-profile GPU like the GTX 1650 LP wouldn’t fit. There’s simply no clearance for a second-slot. For anyone else running an HP ProDesk or a similar SFF system with an awkward PCIe slot placement, this is proof that a single-slot GPU like the T600 is the way to go.
Image above: Note where the PCIe slot is on the HP ProDesk 400 G7 SFF PC
The T600 is single-slot, so it drops straight into an SFF system without any clearance issues. No need to mess around with case modifications, no need to worry about power connectors since it only draws 40W, and it still gives better performance than older Quadro cards or integrated graphics.
If you want something more powerful, the NVIDIA T1000 (I thought Terminator, too) is the big brother to the T600. It has the same Turing architecture, but with 896 CUDA cores instead of 640, and 8GB of GDDR6 VRAM instead of 4GB. It’s more than twice the price though, so unless you really need the extra VRAM and cores, the T600 is the better value option for SFF builds that need a single-slot card.
The Witcher 3 runs fine on medium. It’s not hitting crazy frame rates, but it’s definitely playable. Metal Gear Solid V is smooth at high settings, which isn’t surprising since it’s well-optimised. GTA V is about the same normal to high settings with decent frame rates. Elden Ring is playable on low settings but struggles in busy areas, which isn’t shocking since even high-end GPUs can get hit with stutters.
From what I have seen CS:GO, Valorant, Fortnite, and Apex Legends all run well at medium-high settings, which makes sense given they’re not that demanding.
For a low-power card that was never meant for gaming, that’s not bad. Obviously, no ray tracing, no ultra settings, and you’re not going to be playing Cyberpunk 2077 with all the bells and whistles, but for a small form factor setup, it gets the job done.
The T600 has 640 CUDA cores, which means it can handle basic AI inference and machine learning workloads that support CUDA acceleration. I’ve tested it with smaller models like Mistral 7B and LLaMA, and as long as the VRAM limits aren’t exceeded, it runs fine. Anything larger and it starts to struggle, but that’s expected with a 4GB card.
One of the biggest advantages is that it stays cool and runs at 40W, so it doesn’t put much strain on the PSU. It’s also single-slot, so in an SFF system like mine, it’s ideal. Unlike gaming GPUs that can pull 75W or more, the T600 doesn’t need extra power cables, which makes it a good fit for AI workloads in a low-power setup.
I also use it for handling large datasets in Python. GPU acceleration speeds up certain operations in Pandas and NumPy, making it a nice upgrade over running everything on CPU. It’s obviously not meant for training deep learning models, but for smaller AI tasks, it does the job.
I’ve had this card for a couple of years now, and it’s been solid. Quiet, power-efficient, and small enough to fit in an SFF case while still being useful.
It’s not a high-end gaming card, but for 1080p gaming at medium settings, it’s better than I expected. If you need a low-profile GPU for a small PC that can handle gaming, AI, and server work without pulling tons of power, the T600 is a decent option.
Here are the full specs for the NVIDIA T600:
I originally got it because I needed something that would fit inside a small form factor case, and gaming GPUs were either too big and too power-hungry. The T600 seemed like a good middle ground, workstation class, low power, and still capable of a bit of everything.
Why the T600?
Honestly, the biggest reason was size and power. My HP ProDesk is an SFF machine, and most gaming GPUs just don’t fit. Even the low-profile ones that do are usually double-slot cards, which is a problem in a case like this. The PCIe connector in my machine is right next to the PSU, so a double-slot card wouldn’t work unless I modified the case or found a riser solution, which I wasn’t interested in doing.The T600 is single-slot, so it fits perfectly without blocking airflow or running into clearance issues. At 40W, it also doesn’t need extra power connectors, which is another advantage over most low-profile GTX and RTX cards. Those either require a 6-pin power connector or draw more power than an SFF PSU is designed to handle. The T600, on the other hand, just slots in and works. No extra cables, no PSU upgrades, nothing.
I’ve been using it on Windows Server 2025, and apart from manually installing the drivers, I haven’t really had to mess with it much. I’ve got Steam running fine, so I wanted to see how well it handles games, and honestly, it does better than I expected.
Best Budget GPU you can get for an HP ProDesk SFF PC
The NVIDIA T600 is hands down the best budget GPU you can get for an HP ProDesk SFF PC or any other small form factor system where the PCIe slot is in an awkward spot. Most low-profile gaming GPUs, like the GTX 1650 LP, are double-slot, which means they block access to the PSU or other components in an SFF case. I found that out the hard way when I tried to install a GTX 1650 low profile in my ProDesk, only to realise there was no way to fit it without serious case modifications or using a riser cable, which just wasn’t practical.HP ProDesk 400 G7 SFF, the PCIe x16 slot is positioned right next to the PSU, which explains why a double-slot low-profile GPU like the GTX 1650 LP wouldn’t fit. There’s simply no clearance for a second-slot. For anyone else running an HP ProDesk or a similar SFF system with an awkward PCIe slot placement, this is proof that a single-slot GPU like the T600 is the way to go.
Image above: Note where the PCIe slot is on the HP ProDesk 400 G7 SFF PC
The T600 is single-slot, so it drops straight into an SFF system without any clearance issues. No need to mess around with case modifications, no need to worry about power connectors since it only draws 40W, and it still gives better performance than older Quadro cards or integrated graphics.
If you want something more powerful, the NVIDIA T1000 (I thought Terminator, too) is the big brother to the T600. It has the same Turing architecture, but with 896 CUDA cores instead of 640, and 8GB of GDDR6 VRAM instead of 4GB. It’s more than twice the price though, so unless you really need the extra VRAM and cores, the T600 is the better value option for SFF builds that need a single-slot card.
NVIDIA T600 Gaming Performance
I didn’t buy this thing to be a gaming GPU, but I figured I’d see what it could handle. Turns out, for 1080p gaming at medium settings, it actually does alright.The Witcher 3 runs fine on medium. It’s not hitting crazy frame rates, but it’s definitely playable. Metal Gear Solid V is smooth at high settings, which isn’t surprising since it’s well-optimised. GTA V is about the same normal to high settings with decent frame rates. Elden Ring is playable on low settings but struggles in busy areas, which isn’t shocking since even high-end GPUs can get hit with stutters.
From what I have seen CS:GO, Valorant, Fortnite, and Apex Legends all run well at medium-high settings, which makes sense given they’re not that demanding.
For a low-power card that was never meant for gaming, that’s not bad. Obviously, no ray tracing, no ultra settings, and you’re not going to be playing Cyberpunk 2077 with all the bells and whistles, but for a small form factor setup, it gets the job done.
AI and Server Work
Outside of gaming, I mostly use this PC for SEO tools, Python scripts, and AI tasks, and the T600 has been more useful than I expected for GPU-accelerated workloads. I’ve got Ollama and Open WebUI running on it using Anaconda Base, and GPU acceleration works fine. It’s not an AI powerhouse, but for embeddings, inference, and AI-driven search tasks, it’s completely usable.The T600 has 640 CUDA cores, which means it can handle basic AI inference and machine learning workloads that support CUDA acceleration. I’ve tested it with smaller models like Mistral 7B and LLaMA, and as long as the VRAM limits aren’t exceeded, it runs fine. Anything larger and it starts to struggle, but that’s expected with a 4GB card.
One of the biggest advantages is that it stays cool and runs at 40W, so it doesn’t put much strain on the PSU. It’s also single-slot, so in an SFF system like mine, it’s ideal. Unlike gaming GPUs that can pull 75W or more, the T600 doesn’t need extra power cables, which makes it a good fit for AI workloads in a low-power setup.
I also use it for handling large datasets in Python. GPU acceleration speeds up certain operations in Pandas and NumPy, making it a nice upgrade over running everything on CPU. It’s obviously not meant for training deep learning models, but for smaller AI tasks, it does the job.
I’ve had this card for a couple of years now, and it’s been solid. Quiet, power-efficient, and small enough to fit in an SFF case while still being useful.
It’s not a high-end gaming card, but for 1080p gaming at medium settings, it’s better than I expected. If you need a low-profile GPU for a small PC that can handle gaming, AI, and server work without pulling tons of power, the T600 is a decent option.
Here are the full specs for the NVIDIA T600:
- Architecture: Turing
- CUDA Cores: 640
- VRAM: 4GB GDDR6
- Memory Interface: 128-bit
- Memory Bandwidth: 160 GB/s
- Base Clock: 735 MHz
- Boost Clock: 1395 MHz
- TDP (Power Consumption): 40W
- Interface: PCIe 3.0 x16 (physically x16, electrically x8)
- Outputs: 4x Mini DisplayPort 1.4
- Max Resolution: 7680 × 4320 (8K at 60Hz)
- DirectX Support: DirectX 12 Ultimate
- OpenGL Support: OpenGL 4.6
- Vulkan Support: Vulkan 1.3
- Driver Support: NVIDIA Studio & Quadro drivers
- Form Factor: Low-profile, single-slot
My Windows Server specs:
- HP ProDesk 400 G7 SFF PC
- CPU: Intel I5 10th Gen (10500)
- GPU: Nvidia T600 (4GB VRAM)
- RAM: 32GB DDR4 2800
- HDD: 2TB Sata SSD
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