Top Tweets for #ComputeAcceleration
I wrote about Nvidia's announcements in their AI 2024 event recently, mainly on what they mean for #ComputeAcceleration in the #biotech industry. Read all about it in Rhymes with Haystack, https://t.co/FDTWkeV9n5
I've been posting fewer and fewer #ComputeAcceleration posts lately, as I feel there are more 'haters' of the posts than people who appreciate it. Yes, I am talking about you! π
But this article in @arstechnica is worth commenting on. https://t.co/7VndQsd2Iz
Save yourself some of those precious reads from your allocation by going to my "rhymes with haystack" site instead for long-form reads on #NGS #SingleCell #SpatialBiology #NGPS #ComputeAcceleration https://t.co/FDTWkeV9n5
More on #BioCompute #Bioinformatics #ComputationalBioloby #ComputeAcceleration at https://t.co/Kh5pCaKFif
None of this is for the purpose of #Bioinformatics applications, rather here it's for Full Self-Driving software, but the technical details show some choices for high-throughput #AI training that one could compare to the #ComputationalBiology #ComputeAcceleration world.
In #BioCompute #ComputeAcceleration news, it seems like the $NVDA Nvidia A100 and H100 chips have now become a strategic geopolitical asset, as the U.S. Department of Commerce has banned Nvidia and AMD from selling to China.
Accelerating single-cell genomic analysis with GPUs https://t.co/zi8HGiKcMC #GPUs #Biocompute #ComputeAcceleration #SingleCell
In this episode of Chalk Talk, Amelia Dalton chats with Mike Fitton from Achronix about how to design systems to be both fast and future-proof using #FPGA and e-#FPGA technology.
Watch the episode here: https://t.co/ixukpy3r7w
#AI #IP #eejournal #computeacceleration
Benefits of #FPGAs & #eFPGA IP in Future-proofing Compute Acceleration: https://t.co/KaPnsrUgBb
#computeacceleration #eejournal #IP #semiconductor #IEEE #electronicdesign #designengineers #AI #machinelearning #semiconductorindustry #efpga #fpga #fpgas #efpgas
Q: "What applications are you targeting for your new 7nm Speedster7t FPGA?"
A: #Networking, #datacenter, test and measurement, #computeacceleration, #AI / #ML, #5G and #military applications."
Learn more: https://t.co/udV9OybFeU
Last chance! Registration closing 28 Feb for #Xilinx Open Hardware university design competition 2020. PhD, student, #PYNQ and #ComputeAcceleration categories. Cash prizes and win an #Alveo for your University! Register here: https://t.co/TyrrgYHQHd #XOHW2020
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