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Xilinx Alveo U50 Accelerator Cards come to Nimbix Cloud with Broad Application Support

Today Nimbix announced the availability of Xilinx Alveo U50 Accelerator Cards on the Nimbix Cloud. “Nimbix has paved the way for FPGA-accelerated cloud computing and today leads with the broadest portfolio of cloud FPGA solutions in the industry,” said Steve Hebert, CEO of Nimbix. “The availability of U50 accelerators in the Nimbix Cloud and JARVICE XE are helping ISVs and developers bring new applications and solutions to market in the cloud.”

New Intel oneAPI DevCloud makes it easier for coders working from home

Today Intel introduced the oneAPI DevCloud to make it easier and more productive for coders currently working from home. “Developing code at home requires access to compute cycles, the latest software development tools, access across diverse hardware architectures—CPUs, GPUs, and FPGAs, and expanded storage capabilities. Through the new oneAPI DevCloud, Intel aims to provide extended access, capacity and support for oneAPI developers working from home.”

Xilinx Announces Versal Premium ACAP for Network and Cloud Acceleration

Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration.

Gyrfalcon Acceleration Chips Speed SolidRun AI Inference Server

Today SolidRun introduced a new Arm-based AI inference server optimized for the edge. Highly scalable and modular, the Janux GS31 supports today’s leading neural network frameworks and can be configured with up to 128 Gyrfalcon Lightspeeur SPR2803 AI acceleration chips for unrivaled inference performance for today’s most complex video AI models. “While GPU-based inference servers have seen significant traction for cloud-based applications, there is a growing need for edge-optimized solutions that offer powerful AI inference with less latency than cloud-based solutions. Working with Gyrfalcon and utilizing their industry-proven ASICs has allowed us to create a powerful, cost-effective solution for deploying AI at the Edge that offers seamless scalability.”

oneAPI: Single Programming Model to Deliver Cross-Architecture Performance

Bill Savage from Intel gave this talk at the Intel HPC Developer Conference. “Learn about oneAPI, the new Intel-led industry initiative to deliver a high-performance unified programming model specification spanning CPU, GPU, FPGA, and other specialized architectures. It includes the Data Parallel C++ cross-architecture language, a set of libraries, and a low-level hardware interface. Intel oneAPI Beta products are also available for developers who want to try out the programming model and influence its evolution.”

2020 Predictions from Radio Free HPC

In this podcast, the Radio Free HPC team lays out their tech predictions for 2020. “Henry predicts that we’ll see a RISC-V based supercomputer on the TOP500 list by the end of 2020 – gutsy call on that. This is a double down on a bet that Dan and Henry have, so he’s reinforcing his position. Dan also sees 2020 as the “Year of the FPGA.”

Video: FPGAs and Machine Learning

James Moawad and Greg Nash from Intel gave this talk at ATPESC 2019. “FPGAs are a natural choice for implementing neural networks as they can handle different algorithms in computing, logic, and memory resources in the same device. Faster performance comparing to competitive implementations as the user can hardcore operations into the hardware. Software developers can use the OpenCL device C level programming standard to target FPGAs as accelerators to standard CPUs without having to deal with hardware level design.”

Theta and the Future of Accelerator Programming at Argonne

Scott Parker from Argonne gave this talk at ATPESC 2019. “Designed in collaboration with Intel and Cray, Theta is a 6.92-petaflops (Linpack) supercomputer based on the second-generation Intel Xeon Phi processor and Cray’s high-performance computing software stack. Capable of nearly 10 quadrillion calculations per second, Theta enables researchers to break new ground in scientific investigations that range from modeling the inner workings of the brain to developing new materials for renewable energy applications.”

European Processor Initiative Reaches Important Milestones in First Year

The European Processor Initiative (EPI) has announced the completion of important milestones in its first year. “The first-generation chip family, named Rhea, will include Arm ZEUS architecture general purpose cores and prototypes of high energy-efficient accelerator tiles: RISC-V based (EPAC), Multi-Purpose Processing Array (MPPA), embedded FPGA (eFPGA) and cryptography HW engine. First Rhea chips will be fabricated in N6 technology aiming at the highest processing capabilities and energy efficiency.”

Cortical.io Demonstrates Natural Language Understanding Inspired by Neuroscience

In this video, Cortical.io CEO Francisco Webber demonstrates how the company’s software running on Xilinx FPGAs breaks new ground in the field of natural language understanding (NLU). “Cortical.io delivers AI-based Natural Language Understanding solutions which are quicker and easier to implement and more capable than current approaches. The company’s patented approach enables enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text.”