Our latest set of extremely low-latency inference results using Intel Agilex® 7 FPGAs are official. Thank you @IntelFPGA and @stacresearch
https://t.co/YvIw9B80q7
Liz Corrigan, our Head of Engineering raised eyebrows at STAC Spring Summit in London yesterday. Liz proudly announced VOLLO achieved <5.1us latency in a STAC benchmark for #ML inference in #fintech using LSTM models. Unrivalled latency and easy to adopt. https://t.co/eBgWsFZWjH
Lowest latency; It’s official! @stacresearch has released its report confirming that VOLLO achieved the lowest latency in their #fintech#ML inference benchmark tests. Leverages great technology from @intel & @BittWareInc. https://t.co/BbCKEWpPX2.
Excited that the performance of VOLLO, our #ML inference appliance for fintech, will be officially revealed by @stacresearch in London today. Leverages great technology from @intel & @BittWareInc. https://t.co/BbCKEWHqOA
We are thrilled to welcome our new board members for 2021, supporting our mission to accelerate innovation in machine learning to benefit everyone: https://t.co/EL9LKuHr2A
If you missed the live event, here's another chance to see Sam Davis' keynote on low latency speech synthesis at the Energy Efficient Machine Learning & Cognitive Computing workshop. #machinelearning#AI
https://t.co/CbhkcrKaFy
MLCommons launched today and we’re proud to be a founding member of this new open engineering consortium. Great minds working together to accelerate innovation in #MachineLearning. https://t.co/04cHUfgu1D
@commons_ml
We're proud to have delivered 8x performance for WaveNet compared with a GPU using Intel's new Stratix 10 NX FPGA. Check out the demo video released today! #MachineLearning https://t.co/ROINdL2Ax1
We are currently looking for a Machine Learning Engineer and a Systems Operations Engineer to join our team! To find out, please visit: https://t.co/j5DQD2bJHf. Please send your CV to [email protected] if any of these positions suit you.
#AI#MachineLearning#Careers
We’re very excited to launch our new, innovative solution to a major bottleneck in #ML recommendation models. SEAL has the potential to save hyperscale and tier one data center companies hundreds of millions of dollars every year. https://t.co/jgSPHRMw4O #AI
Intel has just announced its first AI-optimized FPGA – the Intel® Stratix® 10 NX FPGA – to address the rapid increase in AI model complexity
https://t.co/7BGWRezmgs
We are always looking for brilliant minds to join our growing team at https://t.co/ODZ7qceEsm. You can view current opportunities and find out more here: https://t.co/ZqW9mjSOH2 #AI#MachineLearning#Careers
Join our growing team of experts! If you’re passionate about AI and want to be a part of a flourishing company - we want to hear from you! Please send your CV to [email protected] if any of the positions below suit you. https://t.co/j5DQD2bJHf
#AI#machinelearning#Careers
Come and see our MAU™ RNN Inference Accelerator at the @XilinxInc Technology Day in Tel Aviv, Israel on 25th February. https://t.co/3DgTXllu4s
#machinelearning#xilinx2020#ai
We will be attending @UKCareersFair in Cambridge on Friday 14th February from 10AM – 2PM. Come and visit us at our stand to learn more about career opportunities with https://t.co/ODZ7qceEsm - https://t.co/j5DQD2bJHf
#Cambridge#Career#UKCareersFair#AI#ML
⏱️ 40 seconds ! watch the #Alveo demos that you have maybe missed : @IRT_BCom, @VNovaVideo, @MyrtleSoftware at #XDF2019 in Netherlands // The Hague - Den Haag and read the blog for all the news : https://t.co/omGnkEBJQ0
At #xdf2019 today Myrtle announced an exciting new RNN accelerator for the Xilinx Alveo U250 accelerator card. Designed to deliver maximum throughput in latency-bound applications and demonstrated using an industry-standard STT benchmark. https://t.co/jYPXSQ0h06
CIFAR-10 to 94% in 26 SECONDS on a single GPU anyone? Final post of our How To... series: @dcpage3 opens a bag of tricks to drive training times ever further down https://t.co/BNXLK6sFDa . One for everyone involved with #MLPerf benchmarks and #AI#ML
See our new speech inference accelerator for the Intel FPGA PAC D5005 platform for #DataCenter.
Beats #gpu on cost, power & latency. @IntelAI#FPGA
https://t.co/vUApkyylhp