home.social

#dpu — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dpu, aggregated by home.social.

  1. Wed. May 20, 2026: A Jumbled Day

    image courtesy of Vicki Becker from Pixabay

    Wednesday, May 20, 2026

    Waxing Moon

    Pluto Retrograde

    Cloudy and warm

    Happy mid-week! Hope yours is going well.

    The first obstacle of the day was that I couldn’t set the Alice scene from I WILL BE DIFFERENT at the Barbizon Hotel because it hadn’t yet opened in the year I need the scene to be set in. Nor had the Allerton, another choice. So I set it at Hotel Martha Washington instead.

    It’s a really fun scene between Alice, her sister Lizzie, and the practical Shirley, talking about everything from marriage to Alice’s estrangement from her father to abortion (in the 1920’s).

    I have a feeling I will add several scenes in the second draft, and then do a lot of cutting, once I decide if this will be one play or two. Once I’ve done an assembly and smoothed a few things out in the second draft, I am sending it to a couple of readers for their opinions. But that’s a few months down the line. I need to stitch together the Josephine, Alice, Milly, Amanda, and Joy sections, smooth a few things over, add years as touchstones, and see where we are. I know I will have to cut characters at some point, even with double casting. But we’re not at practical, production aspects yet. We’re at character arcs and story.

    I have several possibilities for what to work on during End of Play:

    –a comedy set in the Barbizon hotel;

    –the one-act where the first female Pinkerton, Kate Warne, helps foil an assassination attempt on Abraham Lincoln;

    –“Boom Boom Boom” a one-act I envision as running about 40 minutes for 3 characters;

    –finish LAUGHTER & TURPENTINE (the Playland Painters play);

    –finish CONSEQUENCES (the three-hander about emotional labor).

    The parameters of E-of-P is to start a play June 1 (“pens up”) and finish it by June 30 (“pens down”). So I’d rather start fresh than work on something that’s been lurching for a bit. But I also don’t like leaving work unfinished. So we will see.

    But the first draft of I WILL BE DIFFERENT is officially done! After two damn years. But every project has its own rhythm, and fortunately, I didn’t have to push this one.

    Now I have to do a rough assembly and start making sense of it.

    My favorite town councilor got on the ballot to run for regional rep in the state government (yes, I am one of those signatures). A neighbor stopped by last week to give me information on a Democrat who’s running to represent this region in Congress, also replacing that incumbent. While I respect the work both incumbents have done over the years, those incumbents are too entrenched, and we need more fire in those jobs.

    Another aside: Mark Cuban has always been exactly what he showed by appearing with That Thing. He just fooled some people with his smoke and mirrors for a little longer, that’s all.

    On a happier note, I heard from my Monthology editor that she received the edits I turned around. I will know more about the schedule sometime in July.

    I got off a project proposal. It was due mid-June, but I’m happy I could get it out the door now. I also finished, polished, and sent off the LOI I hemmed and hawed about, because why not be bold? Nothing ventured, and all that. The tone is definitely bolder than I usually use. It will either intrigue them, or it won’t. But if I don’t try, I can’t achieve, so it’s worth the try.

    And there was the morning, because proposals and LOIs take time.

    I got my ticket sorted out for WAM’s reading of AMANI in mid-June, and accepted the invitation to the Clark opening a few days before the reading.

    I got tangled in details working on the ghostwriting, and then got a panicked message from them about something that needed sorting in an earlier book. So I took care of that, and I have to look at something in the next book to make sure the same issue isn’t there.

    I also heard sad news that a colleague unexpectedly died about a week ago. This is someone from the theatre world, a close friend of one of my closest friends. He’s also a good deal younger than I am. It’s completely shocking.

    Of course, all of that came in right before the end of the workday, which normally wouldn’t be an issue, but I had to get out the door to yoga. I was a little scattered by the time I got to the studio.

    It had rained hard earlier in the afternoon, and the walk up was muggy and buggy, not my favorite. But yoga was terrific, and I trotted back home in the cooling evening.

    When I got home, I found yet another bill from Berkshire Gas that makes absolutely no sense. Why have I been kicked off balanced billing when I paid their unbalanced bills supposedly on that program on time every damn month all year? Including the outrageous “settle up” bill two months ago? Why is EVERYTHING a fight with them? Why does Berkshire Gas just throw darts at numbers scrawled on the wall every month, instead of sticking to agreements? Why are the customers expected to stick to agreements, but the company can do whatever they want? Why isn’t the DPU, whose JOB it is to keep them in line, doing something? It’s not like they don’t know, I’ve been filing the paperwork with them, and I’m sure this is partially BG’s retaliation. BG also wants me to be on autopay, but I am not giving them access to my bank account so that they can pull random amounts out anytime they want. For five years, they’ve regularly proven they can’t be trusted.

    I’m losing billable hours dealing with their crap, and I’m going to start invoicing both companies for it.

    And why am I getting an “invitation to apply” for a job as a biohazard technician? I hardly think that my profession as a copywriter makes me qualified. Besides, I’ve made it clear to this agency that “invitation to apply” is a load of crap. Either they contact me with an offer or they leave me alone.

    Managed to get some sleep. It was warm, but not too humid. Tessa got me up at 5 this morning, and I got started on the day.

    On today’s agenda: writing, ghostwriting, grocery shopping, library, errands. Since I’m at the Small Business Expo all day tomorrow and at a farewell luncheon down in Lenox on Friday, I’m doing the Thursday/Friday errands today, along with everything else that needs to get done.

    It’s supposed to cool down over the next few days, and I am glad of it. I have to dig out our small cooling units this weekend, so we are ready for the incoming summer.

    Back to the page. I have a lot to get done today so I can enjoy tomorrow. That includes printing up some more business cards.

    #BerkshireGas #dpu #freelance #ineptBureaucracy #writing #Yoga
  2. Ireland’s DPC launches EU data probe into X’s Grok AI for generating sexualized deepfake images, including of children. GDPR compliance questioned. english.mathrubhumi.com/techno #Ireland #DPU #EU #GrokAI #Grok

  3. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  4. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  5. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv

  6. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  7. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  8. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  9. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

  10. NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

    This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

    buysellram.com/blog/nvidia-unv

  11. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  12. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  13. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  14. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  15. NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
    buysellram.com/blog/nvidia-unv
    #NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech

  16. Oh my, `nl2doca`. "It takes the route and puts it into the ASIC" - turns out if you don't use the NVIDIA User Experience, it takes the route and punts it to software. #bluefield3 #dpu

  17. 🎁 Dev Box DPU Upgrade 🎁

    More ZFS PoC for vGPU + DOCA blah blah NVMe-oF offloads

    Left–to–Right (lotta slots)
    - Broadcom CNA 2x10G
    - Optane P3608 2x 2TB NVMe AIC
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - blank
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - Nvidia Bluefield2 DPU 16GB RAM, 2x 25G
    - Optane 4x 512GB NVDIMM
    - Samsung 4x 32GB ECC Volatile
    - Intel Xeon 8370C (Azure) 32C/64T 270W

    Chassis cooled by 2x 180mm, 1x 140mm, 1x 120mm. Idles very comfortably below 40dB, wind-tunnel at full rpm is more like whoooooshing than the usual 28K-RPM 40mm axial fan screamers people expect from enterprise hardware. Choose wisely.

    #gpu #dpu #ai #dev #llm #nvidia #intel #optane #zfs #linux #freebsd

  18. 🎁 Dev Box DPU Upgrade 🎁

    More ZFS PoC for vGPU + DOCA blah blah NVMe-oF offloads

    Left–to–Right (lotta slots)
    - Broadcom CNA 2x10G
    - Optane P3608 2x 2TB NVMe AIC
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - blank
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - Nvidia Bluefield2 DPU 16GB RAM, 2x 25G
    - Optane 4x 512GB NVDIMM
    - Samsung 4x 32GB ECC Volatile
    - Intel Xeon 8370C (Azure) 32C/64T 270W

    Chassis cooled by 2x 180mm, 1x 140mm, 1x 120mm. Idles very comfortably below 40dB, wind-tunnel at full rpm is more like whoooooshing than the usual 28K-RPM 40mm axial fan screamers people expect from enterprise hardware. Choose wisely.

    #gpu #dpu #ai #dev #llm #nvidia #intel #optane #zfs #linux #freebsd

  19. 🎁 Dev Box DPU Upgrade 🎁

    More ZFS PoC for vGPU + DOCA blah blah NVMe-oF offloads

    Left–to–Right (lotta slots)
    - Broadcom CNA 2x10G
    - Optane P3608 2x 2TB NVMe AIC
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - blank
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - Nvidia Bluefield2 DPU 16GB RAM, 2x 25G
    - Optane 4x 512GB NVDIMM
    - Samsung 4x 32GB ECC Volatile
    - Intel Xeon 8370C (Azure) 32C/64T 270W

    Chassis cooled by 2x 180mm, 1x 140mm, 1x 120mm. Idles very comfortably below 40dB, wind-tunnel at full rpm is more like whoooooshing than the usual 28K-RPM 40mm axial fan screamers people expect from enterprise hardware. Choose wisely.

    #gpu #dpu #ai #dev #llm #nvidia #intel #optane #zfs #linux #freebsd

  20. 🎁 Dev Box DPU Upgrade 🎁

    More ZFS PoC for vGPU + DOCA blah blah NVMe-oF offloads

    Left–to–Right (lotta slots)
    - Broadcom CNA 2x10G
    - Optane P3608 2x 2TB NVMe AIC
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - blank
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - Nvidia Bluefield2 DPU 16GB RAM, 2x 25G
    - Optane 4x 512GB NVDIMM
    - Samsung 4x 32GB ECC Volatile
    - Intel Xeon 8370C (Azure) 32C/64T 270W

    Chassis cooled by 2x 180mm, 1x 140mm, 1x 120mm. Idles very comfortably below 40dB, wind-tunnel at full rpm is more like whoooooshing than the usual 28K-RPM 40mm axial fan screamers people expect from enterprise hardware. Choose wisely.

    #gpu #dpu #ai #dev #llm #nvidia #intel #optane #zfs #linux #freebsd

  21. 🎁 Dev Box DPU Upgrade 🎁

    More ZFS PoC for vGPU + DOCA blah blah NVMe-oF offloads

    Left–to–Right (lotta slots)
    - Broadcom CNA 2x10G
    - Optane P3608 2x 2TB NVMe AIC
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - blank
    - Nvidia T10 16GB GPU (w/ 90mm blower)
    - Nvidia Bluefield2 DPU 16GB RAM, 2x 25G
    - Optane 4x 512GB NVDIMM
    - Samsung 4x 32GB ECC Volatile
    - Intel Xeon 8370C (Azure) 32C/64T 270W

    Chassis cooled by 2x 180mm, 1x 140mm, 1x 120mm. Idles very comfortably below 40dB, wind-tunnel at full rpm is more like whoooooshing than the usual 28K-RPM 40mm axial fan screamers people expect from enterprise hardware. Choose wisely.

    #gpu #dpu #ai #dev #llm #nvidia #intel #optane #zfs #linux #freebsd

  22. PG&E outage for all of Sunnyvale, UPS resources kept the home office and homelab online most of the hours. In the interim via LTE, decided to resume efforts on spec'ing the latest network refresh.

    Big decisions; mostly around scale model design principles, some blandness re: OFED drivers and SPDK version parity for specific NIC/DPU SKUs, and analysis paralysis when focusing on critical nerdatorium protocol support.

    Otherwise to say... I'm leaning towards additional Bluefield DPUs, where offload options are more important than bandwidth parity for production port speeds (also lower total port count using 4x25 breakouts), and there's no sense in paying more per unit for a CX6 25G vs BF2 25G... so... yep.

    #networking #homelab #mellanox #nvidia #dpu #zfs #distributedsystems #ai #hpc

  23. Die Zahlen sind irgendwie zu gut, um glaubwürdig zu sein: Ich schaffe auf einer #DPU mit nur einem Thread und mit fast gar nicht optimiertem #Code einfach 20 Gbps #iperf-Traffic mit #DPDK zu forwarden 🤔

  24. Die Zahlen sind irgendwie zu gut, um glaubwürdig zu sein: Ich schaffe auf einer #DPU mit nur einem Thread und mit fast gar nicht optimiertem #Code einfach 20 Gbps #iperf-Traffic mit #DPDK zu forwarden 🤔

  25. Die Zahlen sind irgendwie zu gut, um glaubwürdig zu sein: Ich schaffe auf einer #DPU mit nur einem Thread und mit fast gar nicht optimiertem #Code einfach 20 Gbps #iperf-Traffic mit #DPDK zu forwarden 🤔

  26. Die Zahlen sind irgendwie zu gut, um glaubwürdig zu sein: Ich schaffe auf einer #DPU mit nur einem Thread und mit fast gar nicht optimiertem #Code einfach 20 Gbps #iperf-Traffic mit #DPDK zu forwarden 🤔

  27. Die Zahlen sind irgendwie zu gut, um glaubwürdig zu sein: Ich schaffe auf einer #DPU mit nur einem Thread und mit fast gar nicht optimiertem #Code einfach 20 Gbps #iperf-Traffic mit #DPDK zu forwarden 🤔

  28. [Перевод] Подробное руководство по облачной инфраструктуре для ИИ-проектов

    Как вычислительные ресурсы, системы хранения, сетевые технологии и AI-фреймворки влияют на производительность AI-проектов. Почему понимание этой инфраструктуры даёт конкурентное преимущество

    habr.com/ru/articles/896194/

    #облачная_инфраструктура #искусственный_интеллект #gpu #tpu #dpu #хранение_данных #сетевые_технологии #nvlink #rdma #ai_фреймворки

  29. The report from this summer's Dagstuhl seminar on Programmable Host Networking has been published: doi.org/10.4230/DagRep.14.7.35! #ebpf #DPDK #DPU

  30. Je m'inscris au #camp d'été des #DPU ... la charte est inspirante je trouve alors je partage, pour d'autres organisateur-ices : dansesdelapaixuniverselle.fr/w

    #DUP #Meeting #SummerMeeting #Universités d'été etc. #OrganisationCollective #IntelligenceCollective #mercredicollectif toujours (cf. les attentions concernant les enfants, presque toujours & partout bienvenu-es chez nous soufi-es...)

    #Paix #Chant #Spiritualité et #Danse surtout bien sûr einh

  31. Je m'inscris au #camp d'été des #DPU ... la charte est inspirante je trouve alors je partage, pour d'autres organisateur-ices : dansesdelapaixuniverselle.fr/w

    #DUP #Meeting #SummerMeeting #Universités d'été etc. #OrganisationCollective #IntelligenceCollective #mercredicollectif toujours (cf. les attentions concernant les enfants, presque toujours & partout bienvenu-es chez nous soufi-es...)

    #Paix #Chant #Spiritualité et #Danse surtout bien sûr einh

  32. #AMD Moves Up Instinct #MI350/#MI355X To Now Release By Mid-2025, #MI400 Lineup Slated For 2026 As #Datacenter Biz Hits Records
    Last year the datacenter business at AMD, which includes #EPYC #CPU, Instinct #GPU, #Pensando #DPU, and #Xilinx #FPGA accelerators, accounted for $12.58 billion in sales, or 48.8% of revenues. In both Q3 and Q4 of 2024, datacenter drove in excess of half of AMD’s revenues and nearly 60% of its operating income.
    nextplatform.com/2025/02/04/am

  33. #AMD Moves Up Instinct #MI350/#MI355X To Now Release By Mid-2025, #MI400 Lineup Slated For 2026 As #Datacenter Biz Hits Records
    Last year the datacenter business at AMD, which includes #EPYC #CPU, Instinct #GPU, #Pensando #DPU, and #Xilinx #FPGA accelerators, accounted for $12.58 billion in sales, or 48.8% of revenues. In both Q3 and Q4 of 2024, datacenter drove in excess of half of AMD’s revenues and nearly 60% of its operating income.
    nextplatform.com/2025/02/04/am

  34. Moves Up Instinct /#MI355X To Now Release By Mid-2025, Lineup Slated For 2026 As Biz Hits Records
    Last year the datacenter business at AMD, which includes , Instinct , , and accelerators, accounted for $12.58 billion in sales, or 48.8% of revenues. In both Q3 and Q4 of 2024, datacenter drove in excess of half of AMD’s revenues and nearly 60% of its operating income.
    nextplatform.com/2025/02/04/am

  35. #AMD Moves Up Instinct #MI350/#MI355X To Now Release By Mid-2025, #MI400 Lineup Slated For 2026 As #Datacenter Biz Hits Records
    Last year the datacenter business at AMD, which includes #EPYC #CPU, Instinct #GPU, #Pensando #DPU, and #Xilinx #FPGA accelerators, accounted for $12.58 billion in sales, or 48.8% of revenues. In both Q3 and Q4 of 2024, datacenter drove in excess of half of AMD’s revenues and nearly 60% of its operating income.
    nextplatform.com/2025/02/04/am

  36. #AMD Moves Up Instinct #MI350/#MI355X To Now Release By Mid-2025, #MI400 Lineup Slated For 2026 As #Datacenter Biz Hits Records
    Last year the datacenter business at AMD, which includes #EPYC #CPU, Instinct #GPU, #Pensando #DPU, and #Xilinx #FPGA accelerators, accounted for $12.58 billion in sales, or 48.8% of revenues. In both Q3 and Q4 of 2024, datacenter drove in excess of half of AMD’s revenues and nearly 60% of its operating income.
    nextplatform.com/2025/02/04/am

  37. "
    Kleinsatelliten: Leistungsfähiges Datenmanagement im Orbit
    "
    "Erdbeobachtungssatelliten sammeln große Datenmengen, während die Übertragungskapazitäten zur Erde begrenzt sind. Spezielle Computer, sogenannte Data Processing Units (DPUs), speichern, werten und komprimieren diese Daten direkt im Satelliten – effizient und zuverlässig."

    emi.fraunhofer.de/de/aktuelles

    16.1.2025

    #Computer #constellr #COTS #Erdbeobachtung #EO #EMI #Fraunhofer #Daten #DPU #Raumfahrt #Satelliten #SkyBee1 #SpaceFlight

  38. "
    Kleinsatelliten: Leistungsfähiges Datenmanagement im Orbit
    "
    "Erdbeobachtungssatelliten sammeln große Datenmengen, während die Übertragungskapazitäten zur Erde begrenzt sind. Spezielle Computer, sogenannte Data Processing Units (DPUs), speichern, werten und komprimieren diese Daten direkt im Satelliten – effizient und zuverlässig."

    emi.fraunhofer.de/de/aktuelles

    16.1.2025

    #Computer #constellr #COTS #Erdbeobachtung #EO #EMI #Fraunhofer #Daten #DPU #Raumfahrt #Satelliten #SkyBee1 #SpaceFlight

  39. "
    Kleinsatelliten: Leistungsfähiges Datenmanagement im Orbit
    "
    "Erdbeobachtungssatelliten sammeln große Datenmengen, während die Übertragungskapazitäten zur Erde begrenzt sind. Spezielle Computer, sogenannte Data Processing Units (DPUs), speichern, werten und komprimieren diese Daten direkt im Satelliten – effizient und zuverlässig."

    emi.fraunhofer.de/de/aktuelles

    16.1.2025

    #Computer #constellr #COTS #Erdbeobachtung #EO #EMI #Fraunhofer #Daten #DPU #Raumfahrt #Satelliten #SkyBee1 #SpaceFlight

  40. "
    Kleinsatelliten: Leistungsfähiges Datenmanagement im Orbit
    "
    "Erdbeobachtungssatelliten sammeln große Datenmengen, während die Übertragungskapazitäten zur Erde begrenzt sind. Spezielle Computer, sogenannte Data Processing Units (DPUs), speichern, werten und komprimieren diese Daten direkt im Satelliten – effizient und zuverlässig."

    emi.fraunhofer.de/de/aktuelles

    16.1.2025

    #Computer #constellr #COTS #Erdbeobachtung #EO #EMI #Fraunhofer #Daten #DPU #Raumfahrt #Satelliten #SkyBee1 #SpaceFlight

  41. "
    Kleinsatelliten: Leistungsfähiges Datenmanagement im Orbit
    "
    "Erdbeobachtungssatelliten sammeln große Datenmengen, während die Übertragungskapazitäten zur Erde begrenzt sind. Spezielle Computer, sogenannte Data Processing Units (DPUs), speichern, werten und komprimieren diese Daten direkt im Satelliten – effizient und zuverlässig."

    emi.fraunhofer.de/de/aktuelles

    16.1.2025

    #Computer #constellr #COTS #Erdbeobachtung #EO #EMI #Fraunhofer #Daten #DPU #Raumfahrt #Satelliten #SkyBee1 #SpaceFlight

  42. Применение аппаратных ускорителей в SDN: как мы добились скорости передачи пакетов на уровне Bare Metal

    Каждый, кто имеет дело с более-менее крупной IT-инфраструктурой, знает, что в мире сетей есть две прямо противоположных реальности. В одной — виртуализация с эффективным дроблением ресурсов, но потерей скоростей, в другой — Bare Metal с высокой скоростью и мощностью, но слабой гибкостью в вопросах выделения ресурсов. И если вы уже задались вопросом: «А можно без крайностей?», я инженер R&D-команды Узнать больше

    habr.com/ru/companies/cloud_ru

    #виртуализация #bare_metal #rnd #openstack #asap #nvidia #ускоряем_сеть #dpu

  43. Применение аппаратных ускорителей в SDN: как мы добились скорости передачи пакетов на уровне Bare Metal

    Каждый, кто имеет дело с более-менее крупной IT-инфраструктурой, знает, что в мире сетей есть две прямо противоположных реальности. В одной — виртуализация с эффективным дроблением ресурсов, но потерей скоростей, в другой — Bare Metal с высокой скоростью и мощностью, но слабой гибкостью в вопросах выделения ресурсов. И если вы уже задались вопросом: «А можно без крайностей?», я инженер R&D-команды Узнать больше

    habr.com/ru/companies/cloud_ru

    #виртуализация #bare_metal #rnd #openstack #asap #nvidia #ускоряем_сеть #dpu

  44. Применение аппаратных ускорителей в SDN: как мы добились скорости передачи пакетов на уровне Bare Metal

    Каждый, кто имеет дело с более-менее крупной IT-инфраструктурой, знает, что в мире сетей есть две прямо противоположных реальности. В одной — виртуализация с эффективным дроблением ресурсов, но потерей скоростей, в другой — Bare Metal с высокой скоростью и мощностью, но слабой гибкостью в вопросах выделения ресурсов. И если вы уже задались вопросом: «А можно без крайностей?», я инженер R&D-команды Узнать больше

    habr.com/ru/companies/cloud_ru

    #виртуализация #bare_metal #rnd #openstack #asap #nvidia #ускоряем_сеть #dpu

  45. Применение аппаратных ускорителей в SDN: как мы добились скорости передачи пакетов на уровне Bare Metal

    Каждый, кто имеет дело с более-менее крупной IT-инфраструктурой, знает, что в мире сетей есть две прямо противоположных реальности. В одной — виртуализация с эффективным дроблением ресурсов, но потерей скоростей, в другой — Bare Metal с высокой скоростью и мощностью, но слабой гибкостью в вопросах выделения ресурсов. И если вы уже задались вопросом: «А можно без крайностей?», я инженер R&D-команды Узнать больше

    habr.com/ru/companies/cloud_ru

    #виртуализация #bare_metal #rnd #openstack #asap #nvidia #ускоряем_сеть #dpu