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Show HN: Compute.cheap – the cheapest H100/H200 compute in the world

Compute.cheap, a new GPU marketplace, claims to offer the cheapest H100/H200 compute in the world by letting capacity owners compete for workloads, with no long-term commitments and pay-as-you-go pricing.

read1 min views1 publishedSep 1, 2026
Show HN: Compute.cheap – the cheapest H100/H200 compute in the world
Image: source

Competition sets the floor.

The marketplace model lets capacity owners compete for workloads instead of hiding prices behind fixed tiers.

H200 and H100 capacity for training, inference, and everything in between. Historically delivering some of the lowest prices for frontier AI.

Lowest-price GPU capacity

The economics

The marketplace model lets capacity owners compete for workloads instead of hiding prices behind fixed tiers.

Cheaper GPU clouds make use of available hardware, turning underused infrastructure into useful compute.

Pay only while silicon is running. No long commitments or a bill for capacity sitting idle.

We are built around the GPU—not a maze of managed services and layers of enterprise overhead.

                          capacity.route()                          
               /  .    \  /    .\      :.      .:       .           
           gpu.alloc()     .       /       \ .queue.next()          
             .\       .     : :     .       /       \               
                                                                    
 H200  >-------==>-------- [ POOL 01 ]  ---==>-----==>---  TRAIN    
                           spot | demand                            
                                                                    
 H100  -==>------==>------ [ POOL 02 ]  ==>-----==>------  INFER    
                           spot | demand                            
                                                                    
          :        :  . RUN  >  PAY  >  RELEASE  .  /\  .           
           .  /\    .  /    compute.cheap/  \                       
                  .     \  .        .  :     .  :     .
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