At ASA Computers, Hadoop Solution on Supermicro FatTwin Server With Scaleflux Computational Storage Card

ASA Computers Inc announced an optimized solution for Hadoop deployments based on Super Micro Computer, Inc.‘s FatTwin server platform and ScaleFlux, Inc.‘s computational storage card to improve Hadoop performance.

FatTwin server

Recent tests and benchmarking of the solution yielded results which show an increase in performance over standard Hadoop installs by at least 30% while allowing reductions in overhead to CPUs. This improvement in performance translates to faster time-to-insight and lower cost per job. The solution is based on a mix of traditional spinning media with ScaleFlux’s computational storage card in a FatTwin server platform. FatTwin’s 4 rack unit 4 node platform has been adopted by many Hadoop users.

Scaleflux CSD2000

“As a global leader in enterprise computing, storage, networking solutions and green computing technology, we have a long standing relationship with ASA,” said Raju Penumatcha, SVP and chief product officer, Supermicro. “We are very excited to enable this new product offering with ASA. We believe it represents an important step forward for Hadoop customers who want to maximize the efficiency and value of their deployments.“

“Existing and potential customers have shown great interest in this solution particularly because it doesn’t require any special application coding and works out of the box,” says Arvind Bhargava, founder and CEO, ASA. “We believe this will further enhance the value we bring to our customers and give them a competitive edge in a competitive market space.“

“We are thrilled to lead Computational Storage to mainstream enterprise adoption,” said Hao Zhong, CEO and co-founder, ScaleFlux. “Two years ago we coined the term, last year we made our industry debut, and now we are at the front of a very large crowd. Our newest CSD 2000 Series products integrated with Supermicro FatTwin servers integrated and optimized by ASA will deliver immense value and optimal TCO.“

This solution is available and will be deployed shortly in the field.