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While they are still far from mainstream, FPGAs have recently become more affordable and easy to program, which means they are also slowly starting to find their way into more services. Having them readily available in the cloud will likely mean that more developers will now start experimenting with them. These new F1 instances will likely be used for HD and 4K video processing instead of GPUs and imaging, as well as for machine learning.
Microsoft, for example, went all in on FPGAs to build the backend of its AI services while Google decided to take the more expensive route of building its own specialized chips. Ideally, this could allow a developer to run the complex video processing needed to run a VR or AR head-mounted display in the cloud instead of on the device. This enables in specific cases a significant acceleration compared to fixed-function compute solutions like CPUs and GPUs.
We have been able to use the FPGA-based F1 instances to greatly speed up the process of whole genome sequencing. As a result, what used to take us 20 hours of compute time can now be achieved in only 3 hours. Bigstream is an automated acceleration technology for Apache Spark.
It includes a compiler and runtime that routes execution of Spark application tasks onto Amazon F1 FPGA instances requiring zero user code change. Users experience up to a 10x improvement in performance. In addition to single node operation, Bigstream also supports clustering of F1 instances.
It enables significant gains in productivity while maintaining performance comparable to manual optimization. It enables labs of all sizes and disciplines to do more with their genomic data. It is shipped as a fully integrated AMI that can be used to accelerate deep learning and machine learning algorithms for classification and clustering.
Socionext, a leading provider of video processing and distribution products, possesses decades of hardware-based solution expertise essential for the development of a powerful and innovative FPGA-based virtual server platform. By working together with AWS, Socionext offers a hardware-accelerated, cloud-based encoding solution on Amazon EC2 F1 instances that ensures consistent, high-quality video streams while significantly reducing processing time and delivery costs.
Trend Micro, an advanced technology partner, leverages Amazon EC2 F1 instances to enable our joint customers to maximize compute efficiency and performance to inspect network traffic, allowing customers to quickly and efficiently deploy broad, scalable network layer security on AWS.
Customers can quickly discover their cloud apps, deploy auto scaling security, and defend their applications". Educators and researchers can use F1 instances to access a programmable hardware FPGA on-demand without the need of purchasing expensive hardware that will sit idle most of the time, F1 instances enables remote access of programmable hardware FPGA when access to hardware is not possible and specially for remote learning settings, visit Amazon EC2 F1 Instances For Educators for more information.
Prices for 1-year and 3-year reserved instances are for "Partial Upfront" payment options. For full pricing details, see the Amazon EC2 pricing page. Use Cases Genomics Research Amazon EC2 F1 instances are the ideal option to process massive amounts of genomics data, provide the fastest time to results, with best accuracy and low cost per genome. Networking and Security Amazon EC2 F1 instances deliver the ability to efficiently compute networking packets at line rate using the virtual ethernet feature.
Real Time Video Processing Live broadcast video transcoding applications using F1 instances deliver higher performance than applications using compute instances, F1 instances are an ideal solution to meet the requirements of these applications, reducing the compute costs without compromising quality. Big Data Search and Analytics The volume, variety, and velocity of data analysis and search requirements in many big data applications have risen to the point where customers are looking for hardware acceleration to keep up.
Financial analytics Financial organizations can use F1 instances to get faster results of risk modeling and analysis, transaction analysis for security in addition to other workloads. Customer story. Professor Dr. F1 instances for Education and Research Educators and researchers can use F1 instances to access a programmable hardware FPGA on-demand without the need of purchasing expensive hardware that will sit idle most of the time, F1 instances enables remote access of programmable hardware FPGA when access to hardware is not possible and specially for remote learning settings, visit Amazon EC2 F1 Instances For Educators for more information.
Accelerating Precision Medicine at Scale. Partner Solutions. Get started with AWS. Sign up for an AWS account.
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