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The processor inside your next smartphone is like nothing you've ever seen before. The fastest mobile CPU on the planet is here. 🔁 if you want one. - Up to 20% CPU performance improvement - Up to 32% responsiveness improvements - Up to 35% better CPU power efficiency #SnapdragonSummit

Snapdragon

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34,050 просмотров • 9 месяцев назад •via X (Twitter)

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The next generation of mobile experiences is here. #Snapdragon 8 Elite features the fastest mobile CPU in the world thanks to the Qualcomm Oryon CPU, paired with the most powerful on-device #AI ever for a smartphone.

The next generation of mobile experiences is here. #Snapdragon 8 Elite features the fastest mobile CPU in the world thanks to the Qualcomm Oryon CPU, paired with the most powerful on-device #AI ever for a smartphone.

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It’s happening. Qualcomm Oryon, the incredible CPU behind #SnapdragonXSeries, is coming to our next gen 8-series mobile platform! Get ready for the next generation of mobile gaming, coming to you at #SnapdragonSummit, Oct 21-23.

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The Snapdragon X2 Elite Extreme will fuel the fastest, most powerful and efficient Windows PCs on the market. #SnapdragonSummit · 18-core CPU · First Arm compatible 5GHz CPU · 80 TOPs Qualcomm Hexagon NPU

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Snapdragon

21,450 просмотров • 9 месяцев назад

Most C Programmers don't have a clue as to how the CPU works. Here is a lecture from my course on the C Language that introduces how to visualise the CPU as a C (or general software) Programmer.... More Details are at: Being able to model the behaviour of CPU provides a solid base to reason about your code. The summary is - - The CPU is a state machine which maintains it's states in registers. - It has busses to memory for requesting data/instruction read/writes. - Interrupts to attend to events. I discuss this and more in my course on the C Language.

Most C Programmers don't have a clue as to how the CPU works. Here is a lecture from my course on the C Language that introduces how to visualise the CPU as a C (or general software) Programmer.... More Details are at: Being able to model the behaviour of CPU provides a solid base to reason about your code. The summary is - - The CPU is a state machine which maintains it's states in registers. - It has busses to memory for requesting data/instruction read/writes. - Interrupts to attend to events. I discuss this and more in my course on the C Language.

Piyush Itankar

28,019 просмотров • 1 год назад

Take another legendary leap forward with us: #Snapdragon X2 Plus is here. Up to 10-core Qualcomm Oryon CPU, 80 TOPS, multi-day battery life, and enterprise-grade security—built for creators, professionals, and everyday explorers.

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13,999 просмотров • 6 месяцев назад

How To Beat The CPU Every Time This Sunday we’re getting a Gauntlet-style CPU event where you have to go 10–0 to earn a 95 OVR BND Super Bowl player. You can beat the CPU consistently by calling this play. Formation: Nickel 3-3 Dbl Mug Play: Mid Blitz Setup 1.Pull The Safety Manned Up To The HB Over The Center 2.Tap UP on the D-Pad to open the Substitution Menu (this player-locks you). 3.Hold DOWN on the left stick. 4.Engage the center as the ball is snapped. Hopefully this was helpful! Feel free to Bookmark this for later, and Follow Me, Hexied, for more Madden content like this!

How To Beat The CPU Every Time This Sunday we’re getting a Gauntlet-style CPU event where you have to go 10–0 to earn a 95 OVR BND Super Bowl player. You can beat the CPU consistently by calling this play. Formation: Nickel 3-3 Dbl Mug Play: Mid Blitz Setup 1.Pull The Safety Manned Up To The HB Over The Center 2.Tap UP on the D-Pad to open the Substitution Menu (this player-locks you). 3.Hold DOWN on the left stick. 4.Engage the center as the ball is snapped. Hopefully this was helpful! Feel free to Bookmark this for later, and Follow Me, Hexied, for more Madden content like this!

Hexied

89,118 просмотров • 5 месяцев назад

Every year I use ZERO "Run plays" for the CPU in #NBA2K26 and a lot of people ask why. People think it causes the CPU to never run plays, but as you can see if you can balance the individual player tendencies correctly the result is a smooth authentic CPU offensive experience.

Every year I use ZERO "Run plays" for the CPU in #NBA2K26 and a lot of people ask why. People think it causes the CPU to never run plays, but as you can see if you can balance the individual player tendencies correctly the result is a smooth authentic CPU offensive experience.

Shady 🧊

184,692 просмотров • 4 месяцев назад

the new --cpu-prof flag is a really nice way to see how much of your time Bun is spending on the CPU ⚡ you can open the profile directly in VSCode/Cursor/Chrome DevTools. also makes it easier to compare how your script performs in Bun vs Node!

Lydia Hallie ✨

70,061 просмотров • 8 месяцев назад

*** SEGA GENESIS/MEGADRIVE - SCALING PART 2 *** Whats better on a Friday than seeing some scaling effects on the Megadrive ? .. nothing, so read on ... In the previous part we were software scaling in either axis by a given factor, but I couldn't change the scale factor per scanline on the same frame, so I couldn't skew the base image for tilting into screen eg Mode 7 type effects. - One issue was it was scaling column by column which got wrecked for performance trying per scanline adjustments. So I converted to a row scaler rather than column, this allowed expansions and contractions on a per scanline basis. - Speed up the code significantly , now running a sprite load + music + scaling on cpu with ~50% cpu free. Relied heavily on Python scripts I wrote to generate the 68k assembly for this as it was mind numbing labourious. In doing so I got the scripts competing with each other to come up with the fastest method for each scale , I'm starting to like python ;-) - Tried all sorts to speed up the horizontal interupt - handles vertical scaling, exotic methods eg unsafe interupts / racing the beam & updating the vertical scroll every X cpu cycles, in the end the Z80 cpu (audio) stealing the 68k cpu bus intermittendly just killed these ideas as it would only be 95% stable, ended up just doing smarter interupts that saved a lot of cpu instead. - The good and the bad, spent too long on this is the bad, the good is we will need it in Lufthoheit in a few places to make up for that !! Carsten666 CYBERDEOUS - Crouzet Laurent #SGDK #SegaMegadrive #SegaGenesis

* SEGA GENESIS/MEGADRIVE - SCALING PART 2 * Whats better on a Friday than seeing some scaling effects on the Megadrive ? .. nothing, so read on ... In the previous part we were software scaling in either axis by a given factor, but I couldn't change the scale factor per scanline on the same frame, so I couldn't skew the base image for tilting into screen eg Mode 7 type effects. - One issue was it was scaling column by column which got wrecked for performance trying per scanline adjustments. So I converted to a row scaler rather than column, this allowed expansions and contractions on a per scanline basis. - Speed up the code significantly , now running a sprite load + music + scaling on cpu with ~50% cpu free. Relied heavily on Python scripts I wrote to generate the 68k assembly for this as it was mind numbing labourious. In doing so I got the scripts competing with each other to come up with the fastest method for each scale , I'm starting to like python ;-) - Tried all sorts to speed up the horizontal interupt - handles vertical scaling, exotic methods eg unsafe interupts / racing the beam & updating the vertical scroll every X cpu cycles, in the end the Z80 cpu (audio) stealing the 68k cpu bus intermittendly just killed these ideas as it would only be 95% stable, ended up just doing smarter interupts that saved a lot of cpu instead. - The good and the bad, spent too long on this is the bad, the good is we will need it in Lufthoheit in a few places to make up for that !! Carsten666 CYBERDEOUS - Crouzet Laurent #SGDK #SegaMegadrive #SegaGenesis

Shannon Birt

11,070 просмотров • 1 год назад

🤑Turn Your Idle CPU into Passive Income! ▶️How Much Can You Earn as a Contributor? With VerAI, Contributors share idle CPU/GPU resources to train AI models and earn passive income. Using a simple CPU, you can earn $1.5–$2 per day that’s $45–$60 per month! 💵 The calculation is based on the computational power you provide: a basic CPU (e.g., Intel i5) contributes to lightweight training tasks, earning at this rate. Got a more powerful CPU or GPU? You could earn 5-10x more up to $600/month with a high-end GPU like an RTX 4090! 💵💵💵 ▶️A Game-Changer for Your Income and the Planet!🌎🌱 VerAI isn’t just about earnings it’s about empowerment! Share your resources and watch your monthly income soar, all while helping build the future of AI. Plus, our ecosystem cuts CO2 emissions by 20% per training cycle, making AI training greener than ever. It’s a win-win: you earn, the planet thrives, and Big Tech’s grip loosens! 🌎🌱🌱🌱 ▶️Join the Revolution Now! The future of AI is decentralized, sustainable, and rewarding. With 80K innovators already on our waitlist, VerAI is coming and you don’t want to miss out! 👨‍💻👨‍💻 👉 Don’t miss out join the waitlist today and secure your spot! #VerAI #EarnWithVerAI #SustainableTech #JoinTheFuture #Earncrypto #DecentralizedAI #AIInnovation #VerAI #Waitlist

🤑Turn Your Idle CPU into Passive Income! ▶️How Much Can You Earn as a Contributor? With VerAI, Contributors share idle CPU/GPU resources to train AI models and earn passive income. Using a simple CPU, you can earn $1.5–$2 per day that’s $45–$60 per month! 💵 The calculation is based on the computational power you provide: a basic CPU (e.g., Intel i5) contributes to lightweight training tasks, earning at this rate. Got a more powerful CPU or GPU? You could earn 5-10x more up to $600/month with a high-end GPU like an RTX 4090! 💵💵💵 ▶️A Game-Changer for Your Income and the Planet!🌎🌱 VerAI isn’t just about earnings it’s about empowerment! Share your resources and watch your monthly income soar, all while helping build the future of AI. Plus, our ecosystem cuts CO2 emissions by 20% per training cycle, making AI training greener than ever. It’s a win-win: you earn, the planet thrives, and Big Tech’s grip loosens! 🌎🌱🌱🌱 ▶️Join the Revolution Now! The future of AI is decentralized, sustainable, and rewarding. With 80K innovators already on our waitlist, VerAI is coming and you don’t want to miss out! 👨‍💻👨‍💻 👉 Don’t miss out join the waitlist today and secure your spot! #VerAI #EarnWithVerAI #SustainableTech #JoinTheFuture #Earncrypto #DecentralizedAI #AIInnovation #VerAI #Waitlist

VerAi

13,196 просмотров • 1 год назад

AMD CEO LISA SU JUST DOUBLED HER OWN CPU FORECAST IN 6 MONTHS In November, she told investors the CPU market would grow 18-20% per year through 2030. This morning she revised that number: "That rate is doubling. The CPU market may be over $120 billion by 2030, growing at over 35%." The driver: agents. Six months ago AMD modeled 1 CPU for every 4 to 8 GPUs in an AI data center. The new ratio is closer to 1 to 1. Su on CNBC: "Each of us could have 2 or 3 or even 5 or 10 agents doing work on our behalf. That means you need a lot more CPU compute."

AMD CEO LISA SU JUST DOUBLED HER OWN CPU FORECAST IN 6 MONTHS In November, she told investors the CPU market would grow 18-20% per year through 2030. This morning she revised that number: "That rate is doubling. The CPU market may be over $120 billion by 2030, growing at over 35%." The driver: agents. Six months ago AMD modeled 1 CPU for every 4 to 8 GPUs in an AI data center. The new ratio is closer to 1 to 1. Su on CNBC: "Each of us could have 2 or 3 or even 5 or 10 agents doing work on our behalf. That means you need a lot more CPU compute."

WOLF

88,438 просмотров • 2 месяцев назад

Reached 150k population for the first time on Cities Skylines 2. The game starts to get really choppy after ~120k though. It was interesting to see, how initially GPU was at 100% utilisation but CPU at 10% and by the time you reach 100k population, even CPU cranks up to 50%

Reached 150k population for the first time on Cities Skylines 2. The game starts to get really choppy after ~120k though. It was interesting to see, how initially GPU was at 100% utilisation but CPU at 10% and by the time you reach 100k population, even CPU cranks up to 50%

Arnav Gupta

13,027 просмотров • 1 год назад

we work get new macbook air m4 16/256 Apple M4 chip, featuring a 10-core CPU and up to a 10-core GPU, delivers cutting-edge performance and efficiency to the MacBook Air M4, positioning you at the forefront of technology. kes 123,000 call 0707311340 or visit

we work get new macbook air m4 16/256 Apple M4 chip, featuring a 10-core CPU and up to a 10-core GPU, delivers cutting-edge performance and efficiency to the MacBook Air M4, positioning you at the forefront of technology. kes 123,000 call 0707311340 or visit

🇰🇪Kype Computers 🇹🇿🇺🇬

16,021 просмотров • 7 месяцев назад

AMD CEO Lisa Su just doubled her own CPU forecast in 6 months and the reason is one word, agents (Save this). In November, she told investors the CPU market would grow 18-20% per year through 2030. she just revised that number : "That rate is doubling. The CPU market may be over $120 billion by 2030, growing at over 35%." And here's what changed, six months ago AMD modeled 1 CPU for every 4 to 8 GPUs in an AI data center and now the new ratio is closer to 1 to 1. Because agents aren't passive and they don't wait for a question. They work constantly on behalf of every employee, every customer, every process running inside an enterprise. Each of us could have 2, 3, even 5 or 10 agents running at the same time and that's not just more GPU compute but rather a completely different CPU demand curve that nobody had modeled at this scale. And the earnings backed it up. AMD posted $10.3 billion in revenue for Q1, up 38% year over year. Data center revenue hit $5.8 billion, up 57%, free cash flow tripled to a record $2.6 billion and Q2 guidance came in at $11.2 billion, 46% growth year-over-year. The Milk Road Pro portfolio was built around exactly this thesis, that agentic AI would create a massive, underappreciated CPU demand cycle that the market was sleeping on. That position is now up nearly 100%, if you want the full thesis, check out Milk Road Pro, link in bio.

AMD CEO Lisa Su just doubled her own CPU forecast in 6 months and the reason is one word, agents (Save this). In November, she told investors the CPU market would grow 18-20% per year through 2030. she just revised that number : "That rate is doubling. The CPU market may be over $120 billion by 2030, growing at over 35%." And here's what changed, six months ago AMD modeled 1 CPU for every 4 to 8 GPUs in an AI data center and now the new ratio is closer to 1 to 1. Because agents aren't passive and they don't wait for a question. They work constantly on behalf of every employee, every customer, every process running inside an enterprise. Each of us could have 2, 3, even 5 or 10 agents running at the same time and that's not just more GPU compute but rather a completely different CPU demand curve that nobody had modeled at this scale. And the earnings backed it up. AMD posted $10.3 billion in revenue for Q1, up 38% year over year. Data center revenue hit $5.8 billion, up 57%, free cash flow tripled to a record $2.6 billion and Q2 guidance came in at $11.2 billion, 46% growth year-over-year. The Milk Road Pro portfolio was built around exactly this thesis, that agentic AI would create a massive, underappreciated CPU demand cycle that the market was sleeping on. That position is now up nearly 100%, if you want the full thesis, check out Milk Road Pro, link in bio.

Milk Road AI

13,241 просмотров • 2 месяцев назад

Incoming: The Big Ole Chip Flip CPUs > GPUs COATUE CIO of Public Investments Jaimin Rangwalla says AI agents could fundamentally reshape compute demand: “Historically CPUs have done something called serial processing, which is like you just give it a set of instructions and it does one by one by one by one. It was very much a 1 CPU : 8 GPUs. It had gone up to 1 CPU : 16 GPUs, which was all of the math & all of the computation happening at the GPUs. But now the ratio is actually moving from 1 CPU : 4 GPUs."

Incoming: The Big Ole Chip Flip CPUs > GPUs COATUE CIO of Public Investments Jaimin Rangwalla says AI agents could fundamentally reshape compute demand: “Historically CPUs have done something called serial processing, which is like you just give it a set of instructions and it does one by one by one by one. It was very much a 1 CPU : 8 GPUs. It had gone up to 1 CPU : 16 GPUs, which was all of the math & all of the computation happening at the GPUs. But now the ratio is actually moving from 1 CPU : 4 GPUs."

Molly O’Shea

15,390 просмотров • 2 месяцев назад

The infamous hyperspeed bug in Peter Jackson's King Kong is now fixed! The game tracks time with CPU cycles, but casts the frequency to a 32 bit value. On modern high-clock CPUs that overflows, so the engine thinks your CPU is way slower than it actually is. It then crams way too many physics & gameplay events into each tick - and since the real CPU is still blazing fast, everything goes into insane overdrive. Now properly fixed for smooth gameplay on today's hardware. Download link:

The infamous hyperspeed bug in Peter Jackson's King Kong is now fixed! The game tracks time with CPU cycles, but casts the frequency to a 32 bit value. On modern high-clock CPUs that overflows, so the engine thinks your CPU is way slower than it actually is. It then crams way too many physics & gameplay events into each tick - and since the real CPU is still blazing fast, everything goes into insane overdrive. Now properly fixed for smooth gameplay on today's hardware. Download link:

Fusion Fix

72,290 просмотров • 3 месяцев назад

70% more compute performance, up to 256 high-performance Zen 6 cores, built on TSMC's 2nm process. Meet Venice, our next-generation EPYC processor. It's engineered for more performance, better efficiency, and outstanding TCO. The CPU's role in AI is vital, and Venice is ready. #AdvancingAI

70% more compute performance, up to 256 high-performance Zen 6 cores, built on TSMC's 2nm process. Meet Venice, our next-generation EPYC processor. It's engineered for more performance, better efficiency, and outstanding TCO. The CPU's role in AI is vital, and Venice is ready. #AdvancingAI

AMD

46,825 просмотров • 11 месяцев назад

Microsoft sold every spare CPU it had to Anthropic and OpenAI. Amazon tripled its CPU buys year over year and still can't keep up. Two of AWS's biggest customers asked Andy Jassy if they could buy the entire 2026 production run of Graviton chips. He said no. The ratio inside an AI datacenter used to be 100 megawatts of GPUs to 1 megawatt of CPUs. CPUs handled storage, checkpointing, pre-processing. Light work. GPUs did the actual training and inference. Then OpenAI shipped o1-preview in September 2024. RL post-training went from "check the model output with a regex" to "run classifiers" to "compile the code and run the unit tests" to "spin up a sandbox, call three databases, run a physics simulation, verify the answer." Every rollout now needs a CPU-backed environment to verify against. Codex 5.4 runs agentically for 6-7 hours at a time. Each database call, each cron job, each scraped URL is CPU work. Coding agent revenue went from a couple billion to north of $10B in six months. That compute is sitting on CPUs. The CPU to GPU ratio is now approaching 1:1. The entire global cloud was built for 1:8. That's why GitHub has been unstable for weeks. Nvidia and Arm both announced they're entering the server CPU market in March. TSMC will only meet 80% of server CPU wafer demand this year. High-end server CPU prices are already up 50%. When the GPU king and the IP licensor both pivot to CPUs in the same month, the boring chip isn't boring anymore.

Microsoft sold every spare CPU it had to Anthropic and OpenAI. Amazon tripled its CPU buys year over year and still can't keep up. Two of AWS's biggest customers asked Andy Jassy if they could buy the entire 2026 production run of Graviton chips. He said no. The ratio inside an AI datacenter used to be 100 megawatts of GPUs to 1 megawatt of CPUs. CPUs handled storage, checkpointing, pre-processing. Light work. GPUs did the actual training and inference. Then OpenAI shipped o1-preview in September 2024. RL post-training went from "check the model output with a regex" to "run classifiers" to "compile the code and run the unit tests" to "spin up a sandbox, call three databases, run a physics simulation, verify the answer." Every rollout now needs a CPU-backed environment to verify against. Codex 5.4 runs agentically for 6-7 hours at a time. Each database call, each cron job, each scraped URL is CPU work. Coding agent revenue went from a couple billion to north of $10B in six months. That compute is sitting on CPUs. The CPU to GPU ratio is now approaching 1:1. The entire global cloud was built for 1:8. That's why GitHub has been unstable for weeks. Nvidia and Arm both announced they're entering the server CPU market in March. TSMC will only meet 80% of server CPU wafer demand this year. High-end server CPU prices are already up 50%. When the GPU king and the IP licensor both pivot to CPUs in the same month, the boring chip isn't boring anymore.

Aakash Gupta

290,767 просмотров • 3 месяцев назад