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  1. RT @wccftech: Die Nachfrage nach CPUs steigt, die Lieferzeiten explodieren auf 25-30 Wochen, während Analysten über das Ausmaß der von Meta Muse erzeugten Nachfrage debattieren. 🔗 t.co/Wfd47DZ08g t.co/S2mzgwaHG8

    mehr auf Arint.info

    #CPU #Demand #MetaMuse #Semiconductor #SupplyChain #TechNews #arint_info

    https://x.com/wccftech/status/2104649845030215702

  2. RT @wccftech: Die Nachfrage nach CPUs steigt, die Lieferzeiten explodieren auf 25-30 Wochen, während Analysten über das Ausmaß der von Meta Muse erzeugten Nachfrage debattieren. 🔗 t.co/Wfd47DZ08g t.co/S2mzgwaHG8

    mehr auf Arint.info

    #CPU #Demand #MetaMuse #Semiconductor #SupplyChain #TechNews #arint_info

    https://x.com/wccftech/status/2104649845030215702

  3. RT @wccftech: Die Nachfrage nach CPUs steigt, die Lieferzeiten explodieren auf 25-30 Wochen, während Analysten über das Ausmaß der von Meta Muse erzeugten Nachfrage debattieren. 🔗 t.co/Wfd47DZ08g t.co/S2mzgwaHG8

    mehr auf Arint.info

    #CPU #Demand #MetaMuse #Semiconductor #SupplyChain #TechNews #arint_info

    https://x.com/wccftech/status/2104649845030215702

  4. RT @wccftech: Die Nachfrage nach CPUs steigt, die Lieferzeiten explodieren auf 25-30 Wochen, während Analysten über das Ausmaß der von Meta Muse erzeugten Nachfrage debattieren. 🔗 t.co/Wfd47DZ08g t.co/S2mzgwaHG8

    mehr auf Arint.info

    #CPU #Demand #MetaMuse #Semiconductor #SupplyChain #TechNews #arint_info

    https://x.com/wccftech/status/2104649845030215702

  5. Akamai secures $11.6B CPU cloud deal with Anthropic

    Seven-year commitment shifts focus from AI accelerators to general compute needs

    hostingpaper.com/article/akama

  6. RT @wccftech: Die Nachfrage nach CPUs steigt, die Lieferzeiten explodieren auf 25-30 Wochen, während Analysten über das Ausmaß der von Meta Muse erzeugten Nachfrage debattieren. 🔗 t.co/Wfd47DZ08g t.co/S2mzgwaHG8

    mehr auf Arint.info

    #CPU #Demand #MetaMuse #Semiconductor #SupplyChain #TechNews #arint_info

    https://x.com/wccftech/status/2104649845030215702

  7. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 #AI #redhat twp.ai/4hwadg

  8. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 #AI #redhat twp.ai/4hwadg

  9. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 #AI #redhat twp.ai/4hwadg

  10. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 #AI #redhat twp.ai/4hwadg

  11. Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1 #AI #redhat twp.ai/4hwadg

  12. A new agreement between #Akamai Technologies and #Anthropic calls for #CPU infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for #AI workloads.

    My colleague Shane Snider has the upshot for #datacenter operators: techtarget.com/it-infrastructu

  13. A new agreement between #Akamai Technologies and #Anthropic calls for #CPU infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for #AI workloads.

    My colleague Shane Snider has the upshot for #datacenter operators: techtarget.com/it-infrastructu

  14. A new agreement between Technologies and calls for infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for workloads.

    My colleague Shane Snider has the upshot for operators: techtarget.com/it-infrastructu

  15. A new agreement between #Akamai Technologies and #Anthropic calls for #CPU infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for #AI workloads.

    My colleague Shane Snider has the upshot for #datacenter operators: techtarget.com/it-infrastructu

  16. A new agreement between #Akamai Technologies and #Anthropic calls for #CPU infrastructure that can fit within conventional co-location facilities, affirming that a distributed data center model is emerging for #AI workloads.

    My colleague Shane Snider has the upshot for #datacenter operators: techtarget.com/it-infrastructu

  17. Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.

    - mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.

    - design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"

    - hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.

    #llms #llm #ai #vibecoding

  18. Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.

    - mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.

    - design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"

    - hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.

    #llms #llm #ai #vibecoding

  19. Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.

    - mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.

    - design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"

    - hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.

  20. Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.

    - mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.

    - design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"

    - hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.

    #llms #llm #ai #vibecoding

  21. Here's 3 avenues I am personally pursuing as the coding / "traditional" software engineering part of the job gets crushed.

    - mathematics: since we massage symbols to communicate complex ideas, compose complex things and transform them into bytes CPUs can interpret, might as well be very stringent about this kind of thinking that has become more important than ever. We could hide behind the sheer complexity of assembling pieces of code by hand, but now need to think much bigger. One very concrete application: proving software correct.

    - design: making things look good, making them work well, making them be delightful is a profoundly human endeavour. That vibeslop has become "the new standard" in many ways is already a win. I'll let anybody use the CUPS UI to see what I mean. Now it's time to really take it to the next level. With a huge amount of people being able to "vibe" their apps, it's now important to elevate design to a "how do we design designing tools"

    - hardware: everything with a CPU is fair game, pretty much. There is a lot of hard work to be done to know what to combine and how, how to minimize power consumption, how to make software work on very small devices. The better you know how electronics and manufacturing and physical things like mechanical components or EE stuff work, the easier it is to summon the right code to make them interact.

    #llms #llm #ai #vibecoding