Debating TinyBox (TinyCorp) vs NVIDIA DGX Station is like choosing between a tactical off-grid cabin and a corporate panic room.
TinyBox: OSS-friendly, sips power, runs whisper quiet—great for AI nerds who want root.
DGX: Raw CUDA firepower, but you’ll need NV cash and maybe a colocation rack.
Depends if you want control… or just raw scale.
#AI #TinyBox #DGX #SelfHosted #OpenSource #HardwareChoices
Recent searches
Search options
#dgx
0 posts0 participants0 posts today
#Nvidia unveils #DGX Station workstation PCs with #GB300 #BlackwellUltra inside
By launching its #DGXStation based on the GB300 Desktop Superchip platform as well as the #DGXSpark powered by the #GB10 #GraceBlackwell Superchip, Nvidia sets the stage for its #Arm-based desktop workstation platforms that will be aimed at broader market segments beyond data scientists, researchers, and software developers.
https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-unveils-dgx-station-workstation-pcs-gb300-blackwell-ultra-inside #ProjectDIGITS
Tom's Hardware · Nvidia unveils DGX Station workstation PCs with GB300 Blackwell Ultra inside
Breakthrough in AI-Powered #Audio Generation and Transformation 
#Fugatto, developed by #NVIDIA researchers, introduces universal sound manipulation through text prompts, handling music, voice & sound effects simultaneously
Advanced capabilities include accent modification, emotion control, and creation of never-before-heard sounds using #AI technology
Technical specs: 2.5B parameters, trained on #DGX systems with 32 #H100 GPUs, featuring ComposableART for instruction combination
Applications span #music production, game development, advertising & language learning - enables real-time audio asset generation & modification
Developed by international team from India, Brazil, China, Jordan & South Korea, enhancing multi-accent & multilingual capabilities
NVIDIA Blog · Now Hear This: World’s Most Flexible Sound Machine DebutsFugatto generates or transforms any mix of music, voices and sounds described with prompts using any combination of text and audio files.
#Nvidia #CEO admits next gen #DGX systems necessitate #liquidcooling - and the new systems are coming soon!
Nvidia's upcoming #Blackwell #GPU are said by Dell to consume up to 1,000 watts, liquid cooling may be required. Claims of Blackwell drawing 1,400 watts have also been thrown around. 2,000 watt processors might even be within the realm of possibility, as Intel researchers are attempting to design a liquid cooler that can handle that much heat.
https://www.tomshardware.com/pc-components/gpus/nvidia-ceo-admits-next-gen-dgx-systems-necessitate-liquid-cooling-and-the-new-systems-are-coming-soon
#Nvidia #DGX #GH200 stitches together 256 superchips
The DGX #H100 is an 8U system with dual Intel Xeons and eight H100 GPUs and about as many NICs. The DGX GH200, is a 24-rack cluster built on an all-Nvidia architecture. At the heart of this super-system is the #GraceHopper chip. Unveiled at March GTC in 2022, blending a 72-core Arm-compatible Grace CPU cluster and 512GB of LPDDR5X memory with an 96GB GH100 Hopper GPU die using the company's 900GBps NVLink-C2C interface.
https://www.theregister.com/2023/05/29/nvidia_dgx_gh200_nvlink/
#NVIDIA Announces #DGX GH200 #AI #Supercomputer | NVIDIA Newsroom
"New Class of AI Supercomputer Connects 256 #GraceHopper Superchips Into Massive, 1-#Exaflop, 144TB #GPU for Giant Models Powering #GenerativeAI, #RecommenderSystems, #DataProcessing"
https://nvidianews.nvidia.com/news/nvidia-announces-dgx-gh200-ai-supercomputer
NVIDIA NewsroomNVIDIA Announces DGX GH200 AI SupercomputerNVIDIA today announced a new class of large-memory AI supercomputer — an NVIDIA DGX™ supercomputer powered by NVIDIA® GH200 Grace Hopper Superchips and the NVIDIA NVLink® Switch System — created to enable the development of giant, next-generation models for generative AI language applications, recommender systems and data analytics workloads.