与「NVIDIADGX」相关的搜索结果

What a moment for @NPS_Monterey and the public sector. At Converge @ NPS, our CEO Jensen Huang joined federal leaders and ecosystem partners to commission the #NVIDIADGX# GB300 system, providing 1,500 students and 600 faculty with on-premises access to large-scale AI computing for research, model training, simulations, and real-world application development. The visit marked a shared commitment to advancing AI education, research, and mission-focused innovation.

Huge congratulations to the @SpaceX team on a historic IPO debut. Fueling the next frontier of space and AI. 🌌 NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1# supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.

看了一下 NVIDIA DGX Spark 的售价，双机套装 8 万元，大脑瞬间开始运转，拉 8 个好兄弟众筹，一人只要出 1 个 W，算盘打得噼啪响。 本地直接怼上 GLM-5.3-Flash、DeepSeek-v4-Flash 或 Qwen3.8-Flash-Next。假设这台机器能当传家宝用上 10 年，一年 1000 块，一个月才 83 块钱，比两杯星巴克还便宜。未来还能持续跟进部署各家最新的 Flash 系列大模型，这么算下来还是挺香的呀。 或者考虑即将推出的 Mac Studio 256GB M5 Ultra 才 76999 元，8 人小团队算下来更低，这不就 Token 自由了吗。 当然，前提是这 8 个赛博算力难民里绝对不能有 Agent 狂魔。大家最好都跟我一样，离不开 AI，但需要每天查查资料、润色文档、写写小脚本的轻度用户，否则一人开一个高频循环工作流，机器分分钟就得被挤爆。

16 parallel runs of Gemma 4 26B A4B on a single NVIDIA DGX Spark! Pushing 18 tok/s per instance and a 300 tok/s aggregate. It can even hit 32 parallel runs. This level of concurrency highlights how efficient the architecture is.

THIS DEVELOPER CONNECTED 8 NVIDIA DGX SPARKS INTO ONE CLUSTER - AND RAN AN 800GB MODEL THAT MADE HIM 10X MORE PRODUCTIVE 21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win" 8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less

Good news. @NVIDIAGFN is now officially supported in Firefox on Windows. GeForce NOW members can stream their games directly in Firefox, with no separate app or additional downloads—just sign in, connect your gaming library and start playing

Jensen. @SEGA. Akihabara. 🎮 Some collabs are just meant to be. We stepped into the heart of Tokyo's most legendary gaming district to celebrate decades of shared history, and the next era with @NVIDIARTXSpark.

What’s the saying about the early bird and the worm? 🐦🪱 #NVIDIAGTC# Berlin discounted pricing is available for a limited time only - join us for the latest in AI, accelerated computing, robotics, simulation, and more.

"Agentic AI changes the role of the CPU. The CPU is now the conductor and the GPU is the orchestra". 🎼 NVIDIA Vera is the first CPU built for AI agents — purpose-built from the ground up for how AI works today. Faster. More efficient. Ready for what's next. 🔲 #NVIDIAGTC#