NSF-DOE Vera C. #Rubin Observatory Observations of Interstellar Comet 3I/ATLAS (C/2025 N1): https://arxiv.org/abs/2507.13409 - the first 5 shown here were made before it was discovered (and the 4th could well be the only Rubin image out of focus ever shared with the public as the commissioning images were always held back before the big reveal show last June).
#Rubin
Strategy for Identifying Vera C. #Rubin Observatory #Kilonova Candidates for Targeted #GravitationalWave Searches: https://iopscience.iop.org/article/10.3847/1538-4357/ae244e -> How Many Kilonovae Will Rubin Observatory Help Us Spot? https://aasnova.org/2026/02/04/how-many-kilonovae-will-rubin-observatory-help-us-spot/
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #technology
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech
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.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech
CES 2026 spotlights NVIDIA Vera Rubin landing on Azure’s AI platform.
Years of co‑design and Fairwater upgrades mean Azure already supports Rubin’s power, cooling, NVLink‑6, HBM4/HBM4e, SOCAMM2 memory expansion and 1.6 Tb/s ConnectX‑9 networking — enabling ~50 PF NVFP4 per chip and ~3.6 EF per rack.
Integrated compute, storage, networking, orchestration and cooling enable faster deployment and scale for customers.
NVIDIA (@nvidia)
CES에서 젠슨 황이 Rubin 외에 GR00T, Alpamayo 등 이름을 거론하며 공장, 로봇, 차세대 자율주행 차량 등에서 물리적 AI가 구현되고 있음을 발표했다. 키노트 영상과 상세 발표 링크를 공유해 Rubin 기반의 실세계 적용 사례와 관련 제품군을 강조했다.
NVIDIA Data Center (@NVIDIADC)
지난주 CES2026에서 젠슨 황(Jensen Huang)이 NVIDIARubin이라는 새로운 'extreme-codesigned' 여섯 칩 AI 플랫폼을 공개했으며, 오픈 모델과 물리적 AI(physical AI) 분야의 주요 진전도 함께 발표했다. 전시장에서는 AI 인프라와 가속 컴퓨팅(accelerated computing) 기술을 시연해 하드웨어·소프트웨어 결합형 대규모 AI 플랫폼을 강조했다.
🧠 #NVIDIA presenta al #CES2026 la nuova piattaforma #Rubin: un’architettura #AI di nuova generazione progettata per scalare l’intelligenza artificiale a livelli senza precedenti.
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_nvidia-ces2026-rubin-activity-7414636364287164416-_ScX
___
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro
🔍 Đánh giá sơ bộ chip R200 “Rubin” & RTX 6000 Rubin:
- VRAM HBM4 384 GB (2×8192‑bit), băng thông 22,528 GB/s, tốc độ 2.75 GHz.
- So với B200, hiệu năng FP16/F32 tăng từ 4.5 PF → 8 PF, F8/F16 tăng từ 9 PF → 35 PF, NVFP4 từ 9 PF → 50 PF.
- RTX 6000 Rubin dự kiến GDDR7 96 GB, 4.712 GHz, băng thông ~1.93 TB/s, TFLOPs ~1.1 PF.
💰 Người dùng đang dự trữ 10k USD cho sản phẩm này.
#AI #GPU #Rubin #R200 #Tech #CôngNghệ #Vietnam #AI #TechNews
#statstab #457 Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics
Thoughts: The theoretical framework a researcher uses will affect the causal inference they can make.
#estimand #causalinference #rubin
https://www.annualreviews.org/content/journals/10.1146/annurev-polisci-032015-010015
NVIDIA libère Rubin et Alpamayo - Quand l'IA passe la seconde (au sens propre)
Nvidia, yapay zekada yeni bir dönemi başlatan Rubin platformunu tanıttı! Blackwell'e göre 5 kata kadar performans artışı sunan Rubin, HBM4 GPU'lar ve Vera CPU ile dikkat çekiyor. AI dünyası için büyük adım!
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