Picture a small AI team at 6 PM, staring at a hardware quote while its prototype still has open questions.
NVIDIA's new DGX Spark 64GB starts at $4,999.
The 128GB model launched around a year ago at $3,999 and now sits at $6,950.
Two new 64GB systems can reach 128GB for around $8,000.
That kind of purchase changes a sprint.
It turns a model experiment into a budget decision before the team knows which workload already deserves dedicated capacity.
There is another way to handle the early work.
Use GPU time for the test in front of you, measure what holds up, then decide whether permanent hardware earns its place.
RTX 3090 compute at $0.15/hr gives a small team room to test and ship without parking the next build behind a hardware purchase.
BHK Cloud offers Buy Now Pay Later, zero upfront and payment after one month.
What AI workload would you validate before committing $4,999 to local hardware?
https://ai.bhkcloud.com/?utm_source=linkedin&utm_medium=social&utm_campaign=bhk_social_2026w41&utm_content=morning
Originally posted on linkedin_personal