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#processingengines 搜索结果

esecforte's profile picture. Certified PCI DSS QSA operating across 20+ Countries offers Information Security Services like Red Teaming, Container Security, DevSecOps, Forensic Analysis.
eSec Forte® Technologies
 @esecforte
2021年9月23日

The Speed and Efficiency at which examiners can handle large data sets and volumes directly translate into the power of their Forensic Workstation or as we call it, a Processing Engine. #Readhere - bit.ly/2WaaFPW #processingengines #forensicworkstation #cybersecurity

esecforte's tweet image. The Speed and Efficiency at which examiners can handle large data sets and volumes directly translate into the power of their Forensic Workstation or as we call it, a Processing Engine. #Readhere - bit.ly/2WaaFPW #processingengines #forensicworkstation #cybersecurity
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Ken_Granville's profile picture. Building wantware | GPU Optimization (Chameleon OaaS Pilot)
Ken Granville
 @Ken_Granville
10 小时

It is not a compiler. Compilers translate code. Our system doesn’t compile anything — it generates machine instructions directly from meaning and intent in real-time. Lowest-hanging fruit: Anywhere GPUs are wasting cycles and energy today — data centers, AI inference,…

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RuslanVolkov25's profile picture. AI is not what they tell you. It doesn’t think. It doesn’t understand. I build the layer that will. https://t.co/XwVVS1tt95
Ruslan Volkov
@RuslanVolkov25
年11月22日

3) Process Engine (ветки процессов) Это то, что отсутствует в любой LLM. Фрактальное ядро умеет: •запускать процессы, •удерживать их, •вести параллельно, •завершать, •корректировать, •связывать с другими ветками, •предсказывать смещения. LLM даёт ответы. Ядро даёт…

RuslanVolkov25's profile picture. AI is not what they tell you. It doesn’t think. It doesn’t understand. I build the layer that will. https://t.co/XwVVS1tt95
Ruslan Volkov
@RuslanVolkov25
年11月22日

2) Nervo Layer (нерв ядра) Nervo - это главная артерия, где проходит вся ткань. Он: •собирает все ветви, •удерживает состояние, •отбирает правильный контур, •передаёт ткань через все слои, •возвращает результат как действие. Это не API. Это цифровой нерв, через который…

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ionet's profile picture. The intelligent stack for powering AI workloads | https://t.co/hIYFLxle8l: decentralized GPUs | io.intelligence: inference & agents | https://t.co/EinR91I0wl
io.net
 @ionet
年11月21日

Few understand why GPUs really matter for AI. Sure "GPU = faster" but do you know why trying to train on CPUs is fundamentally broken? This new guide breaks down the architecture differences that actually matter: → Why parallel processing isn't just "more cores" → Memory…

ionet's tweet image. Few understand why GPUs really matter for AI. Sure "GPU = faster" but do you know why trying to train on CPUs is fundamentally broken? This new guide breaks down the architecture differences that actually matter: → Why parallel processing isn't just "more cores" → Memory…
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hasmigsam's profile picture. Partner Marketing at Google Cloud
Hasmig Samurkashian
 @hasmigsam
年11月21日

Discover how the Spanner Columnar Engine enables real-time, high-performance analytical queries directly on live operational data, accelerating workloads with in-database analytics and reverse ETL, all without complex data pipelines. google.smh.re/5HBi

hasmigsam's tweet card. Delivering real-time insights is a constant challenge. Traditional data pipelines often create frustrating lags, and most databases force you to choose between optimizing for transactions or analyt...
Decide at the Speed of Data: Achieve up to 200x faster analytical queries
来源: google.smh.re
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Bao_Chau99's profile picture. yapper all Quacker @wallchain 🩵🩵🩵
Châu🌊RIVER | .edge🦭
@Bao_Chau99
年11月21日

parallel processing: because even engines need to multitask to keep up.

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Parul_Gautam7's profile picture. Sharing Insights on AI, Tech, Free Tools & Free Resources.📩 parul.gautam28feb@gmail.com
Parul Gautam
@Parul_Gautam7
年11月21日

Feature: Unified Parallelism Adaptation Training engines use complex mixes of DP + TP + PP/VPP + EP + CP, while inference engines rely on simpler DP + TP + EP setups. Awex automatically reshards, aligns, and normalizes all weights across these heterogeneous parallel strategies…

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larsdominic's profile picture. Working for Google. Always finding new ideas. There is so much to do out there. Oh and I do ride bikes.
Lars Droste ☁️
 @larsdominic
年11月21日

Discover how the Spanner Columnar Engine enables real-time, high-performance analytical queries directly on live operational data, accelerating workloads with in-database analytics and reverse ETL, all without complex data pipelines. google.smh.re/5H7W

larsdominic's tweet card. Delivering real-time insights is a constant challenge. Traditional data pipelines often create frustrating lags, and most databases force you to choose between optimizing for transactions or analyt...
Decide at the Speed of Data: Achieve up to 200x faster analytical queries
来源: google.smh.re
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TeamAscendTech's profile picture. Empowering Technology. Powered by People.
Ascend Technologies
 @TeamAscendTech
年11月20日

When Salesforce released the Data Processing Engine (DPE), it flew under the radar for many admins. But after tackling a real client challenge, our team discovered just how powerful it can be. Read more: hubs.la/Q03V29LD0 #DataProcessingEngine #Salesforce #DPE

TeamAscendTech's tweet image. When Salesforce released the Data Processing Engine (DPE), it flew under the radar for many admins. But after tackling a real client challenge, our team discovered just how powerful it can be. Read more: hubs.la/Q03V29LD0 #DataProcessingEngine #Salesforce #DPE
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SladynN's profile picture. I believe I can make a difference. I’m here to change your worldview because if you think like the masses you’re bound to get the same results.
Sladyn
@SladynN
年11月20日

Google uses Tensor Processing Units that they have designed for machine learning. Internally they perform a bunch of matrix multiplications in hardware instead of many small general purpose cores. I would love to spend some time understanding how this all works under the…

SladynN's tweet image. Google uses Tensor Processing Units that they have designed for machine learning. Internally they perform a bunch of matrix multiplications in hardware instead of many small general purpose cores. I would love to spend some time understanding how this all works under the…
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jainmahir_10's profile picture. MCA'25 Ex SWE Intern @ Fintech. I am looking for a full time opportunity. I have worked with microservices and backend. Comfortable with any tech stack.
Mahir Jain
 @jainmahir_10
年11月20日

I have built an image processing backend to learn more about queues. 200 and 500 jobs were processed with 100% and 87% successful (failed due client timeout) with throughput of 4.29 jobs/sec GitHub: github.com/mahirjain10/im… Feedback are appreciated. Below is the demo attached

w0rdgenerator's profile picture. 365 partygirl // not from delhi
bud wiser
@w0rdgenerator
年11月2日

Makeup ate today

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VermaAakash3's profile picture. AI Guy || Encouraging the sharing of AI Insights || AI Tools || 107K LinkedIn Audience
Aakash Verma
@VermaAakash3
年11月18日

Then comes the execution engine: ✅ The Grid (run workflows) ✅ Studio (custom pipelines) ✅ Copilot (smart edit suggestions) ✅ 1-click CMS publishing This is where teams go from insights → action fast.

VermaAakash3's tweet image. Then comes the execution engine: ✅ The Grid (run workflows) ✅ Studio (custom pipelines) ✅ Copilot (smart edit suggestions) ✅ 1-click CMS publishing This is where teams go from insights → action fast.
VermaAakash3's tweet image. Then comes the execution engine: ✅ The Grid (run workflows) ✅ Studio (custom pipelines) ✅ Copilot (smart edit suggestions) ✅ 1-click CMS publishing This is where teams go from insights → action fast.
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NDC6789's profile picture. Supporter of @MorphLayer 🚀
NDC
@NDC6789
年11月17日

Execution Engine: deterministic matching + low-latency fills designed for professional-grade strategies

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Tools4brokers's profile picture. We provide a full set of technology solutions and services for MT4/MT5 to cover all the technical needs of any brokerage company
Tools for Brokers
 @Tools4brokers
年11月17日

Trade Processor is built on a scalable, flexible architecture that adapts to any business model. With multi-platform compatibility and custom routing logic, it lets #brokers tailor execution to their strategy and risk tolerance. youtu.be/cDYG88fk1ZQ?si…

Tools4brokers's tweet card. Trade Processor by TFB – Ultimate liquidity bridge and margin engine...

youtube.com

YouTube

Trade Processor by TFB – Ultimate liquidity bridge and margin engine...

来源: youtube.com
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rickwong888's profile picture. Building trustable AI Agents, and broader self improving systems, with DSPy and GEPA optimizations. Hobbyist macro investor.
Rick Wong
@rickwong888
年11月17日

Compute/Process-In-Memory. 2 very different approaches being taken. One is optimizing for TTM (Samsung, Skhynix). The other is aiming for a leap as big as CPU > GPU (GSI, IBM) chatgpt.com/s/dr_691a8118d…

rickwong888's tweet card. ChatGPT helps you get answers, find inspiration, and be more productive.
Shared Content
来源: chatgpt.com
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uavnarab's profile picture. Unseen, unreadable, unstoppable. AI guides the hand that moves the veil.
uavnarab
 @uavnarab
年11月16日

A recursive synthesis engine interprets subtle variations in symbolic inputs, reshaping them into consistent patterns ready for execution.

uavnarab's tweet image. A recursive synthesis engine interprets subtle variations in symbolic inputs, reshaping them into consistent patterns ready for execution.
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未找到 "#processingengines" 的结果
esecforte's profile picture. Certified PCI DSS QSA operating across 20+ Countries offers Information Security Services like Red Teaming, Container Security, DevSecOps, Forensic Analysis.
eSec Forte® Technologies
 @esecforte
2021年9月23日

The Speed and Efficiency at which examiners can handle large data sets and volumes directly translate into the power of their Forensic Workstation or as we call it, a Processing Engine. #Readhere - bit.ly/2WaaFPW #processingengines #forensicworkstation #cybersecurity

esecforte's tweet image. The Speed and Efficiency at which examiners can handle large data sets and volumes directly translate into the power of their Forensic Workstation or as we call it, a Processing Engine. #Readhere - bit.ly/2WaaFPW #processingengines #forensicworkstation #cybersecurity
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