Was it just two weeks ago that Amazon announced the FPGA-accelerated F1 instance of its AWS (Amazon Web Services) in developer preview form at Amazon’s AWS re:Invent 2016 event in Las Vegas, Nevada? (See “Amazon picks Xilinx UltraScale+ FPGAs to accelerate AWS, launches F1 instance with 8x VU9P FPGAs per instance.”)
The next day at the same event, NGCodec demonstrated its hardware-accelerated RealityCodec 4K video codec running on the Amazon AWS’ FPGA-accelerated EC2 F1 instance. (See “NGCodec announces high-speed 4K video compression for Amazon AWS’ new FPGA-accelerated EC2 F1 instance.”)
Add two more applications up and running on the FPGA-accelerated AWS EC2 F1 instance:
- Ryft Virtual, a heterogeneous cloud-based version of Ryft’s core Ryft ONE technology will be available in the AWS marketplace in Q1 2017. (See “Finally, Fast, Simple Data Discovery in the Cloud: Amazon Web Services Debuts FPGA-Based Heterogeneous Compute With Ryft Virtual Analytics.”)
- Edico Genome is deploying its DRAGEN bio-IT processor, designed to analyze next-generation sequencing data, on AWS’ newly available Amazon EC2 F1 instances. (See “Edico Genome Uses Amazon Web Services to Achieve Real-Time Genomic Analysis, Provide Scalable and Secure Cloud-Based Platform.”)
If you’ve been reading the Xilinx Xcell Daily blogs for a while, then both Ryft and Edico Genome might be familiar to you. Both companies previously implemented high-performance cloud appliances based on Xilinx FPGAs. (See “FPGA-based Ryft ONE search accelerator delivers 100x performance advantage over Apache Spark in the data center” and “FPGA-based Edico Genome Dragen Accelerator Card for IBM OpenPOWER Server Speeds Exome/Genome Analysis by 60x.”)
Now that Amazon is standardizing FPGA-accelerated for cloud computing using multiple Xilinx Virtex UltraScale+ FPGAs, both Ryft and Edico are porting their applications to the Amazon AWS cloud.
Can you say “rapid deployment”? I knew you could.
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December 12, 2016 at 08:38PM