NVIDIA just revealed the 64GB DGX Spark for $4,999, launching October 23 through manufacturer partners like Dell and HP. Powered by the GB10 Grace Blackwell chip, a single unit runs 100-billion-parameter models locally, and two units can cluster directly via cable to pool 128GB memory with up to 1.7x performance. Why it matters: It gives developers a powerful, private sandbox for agent workloads without racking up cloud bills.
NVIDIA just dropped a guide on running the popular OpenClaw AI agent entirely for free on GeForce RTX GPUs and DGX Spark hardware. By pairing local runners like Ollama or LM Studio with open models, users can let an always-on agent manage local files and schedules without bleeding cash on cloud API tokens or handing over private data. It brings powerful autonomous desktop workflows right to consumer hardware.
NVIDIA just started shipping DGX Spark, a compact desktop AI supercomputer powered by its Grace Blackwell GB10 superchip. It packs 1 petaflop of compute and 128GB of unified memory, allowing developers to run inference on 200B parameter models right on their desks. Jensen Huang even recreated history by hand-delivering one of the first units to Elon Musk at SpaceX.
NVIDIA CEO Jensen Huang just took the stage at COMPUTEX to declare that computing centers are officially turning into token-producing "AI factories." Backing up predictions of a multi-trillion-dollar infrastructure boom, NVIDIA unveiled the semi-custom NVLink Fusion architecture, DGX Spark desktop supercomputers, and a physics engine built with DeepMind and Disney. It is a full-stack push to cement NVIDIA as the bedrock of both digital and physical AI.
