We've developed a parallel architecture using GPUs thereby reducing the cost by a few hundred factors. So, yes, we will have a freemium plan, and an affordable pricing model.
Email me at tony@parallelx.com if you're interested.
Most typical usage of Hadoop I've seen (so far) is people dumping many terabytes of data into HDFS and then analyzing it. But maybe you're more focused on distributed computing than the "big data" side of it.
I'd use it for running optical character recognition on millions of pages of government documents to make public information truly free, at http://citizenaudit.org/. But I really just need the 26 cores with a master node feeding documents for that, not actually map-reduce.
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26 CPU cores, 15 GB RAM, 60GB of SSD storage 1536 GPU cores, and 2GB RAM
for a certain amount of time. If you'd like a reserve instance, or more power/storage/throughput, we'll charge more accordingly.