My boss keeps pushing for local LLM integration for our local dev team here in Seattle and honestly I'm drowning in specs. We need to run DeepSeek V4 Pro locally by the end of next week for some internal privacy compliance stuff. Im stuck between just specing out two beefy rigs with dual RTX 4090s or trying to build a single rack server with A6000s. My budget is around 12k total but the space in our office closet is tiny so heat is a huge concern. Is it even possible to get decent tokens per second on a 4090 setup or am I just going to fry the hardware and waste my time...
Honestly, 12k is a decent budget but space is gonna be your biggest enemy here if you are cramming this into a closet. Honestly, two rigs with NVIDIA GeForce RTX 4090 24GB GDDR6X cards are great for dev work, but they run super hot and the power consumption is no joke. If you go that route, you need to make sure your airflow is solid or you will definitely thermal throttle those cards during long inference tasks. Here is how I see the hardware trade-offs:
@Reply #1 - good point! Honestly, running consumer cards in a cramped closet is just asking for thermal throttling. I've dealt with this exact issue before, and those RTX 4090s become useless when they start downclocking because the airflow is trash. In my experience, you should look into workstation-grade blowers if you're stuck in a closet. Check out the NVIDIA RTX 6000 Ada Generation 48GB GDDR6 if you can swing the cost for one or two units. It has way better thermal management for dense environments. If that breaks the bank, look at the NVIDIA A4500 20GB GDDR6 in a multi-GPU cluster. It runs much cooler than the gaming cards, even if the raw power is lower. You'll get more stability for your compliance stuff without melting your office.
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Can confirm