A GPU quote shows the real cost risk of local AI inference
A cluster for running GLM 5.2 was being planned with six Max-Q cards from Dell. The locked quote was $8,959.99 per card, and each card is a 300-watt model. The list price had risen to $15,999 the day before, making the locked quote much cheaper than the new listed price.
The six-card quote was due to expire in about three hours. A separate quote for two cards at the same unit price remained valid until July 3. The immediate problem was whether to buy only two cards now and pay more for the rest later, find someone to split the six-card order, or use another way to preserve the lower price.
The issue was later solved, and the quote was not being offered for resale or transfer.
Key points
- The setup was meant to run GLM 5.2 locally for inference.
- Dell quoted six Max-Q cards at $8,959.99 each.
- The listed price had just moved up to $15,999 per card.
- A smaller two-card quote at the same price was valid until July 3.
- Local can lower , but it adds large upfront hardware risk.