just read @SemiAnalysis_'s latest report on the GPU rental market. a few numbers worth noting:

– H100 rental prices up 40% in 5 months ($1.70 → $2.35/hr)
– on-demand capacity: sold out across all GPU types
– all supply coming online until Aug 2026 already pre-booked
– driver: agentic AI workflows consuming compute at parabolic scale
centralized clouds are at full capacity and repricing aggressively with the high demand of tokens from #AI models: Claude, ChatGPT, Gemini,…
the gap this creates is real and I think decentralized GPU marketplaces exist precisely for this moment.
Here are the 3 projects building the alternative for #GPU race:
1/ @akashnet: the open-source cloud marketplace.
34,300 new leases in Q4 2025, GPU utilization near 80%, and just crossed $5M in compute spend in the first 90 days of 2026, an all-time high.
avg H100 rental: $1.53/hr.
2/ @TargonCompute: enterprise-grade GPU compute.
highest-revenue subnet on $tao (~$10.4M projected ARR). 20B+ inference tokens/day across 1,500+ nodes. raised $10.5M Series A. co-authored a whitepaper with Intel on decentralized compute using Intel TDX.
avg H100 rental: $1.79/hr.
3/ @lium_io: the GPU rental layer.
500+ H100s onboarded in early 2026. built for short-term burst compute that centralized clouds can't offer fast enough. rental revenues now outpacing token emissions.
avg H100 rental: $1.50/hr.
for context: the centralized market is at $2.35/hr and climbing. these three are offering the same hardware at 35–55% cheaper with availability when AWS has none.