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Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding,...

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It's been an amazing week for open models running on NVIDIA Local AI systems! 👀 Here's a few you’ll want to know about, all ready to run locally on NVIDIA RTX, DGX Spark, DGX Station, and Jetson.

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Big day for Windows with Microsoft and NVIDIA announcing the next generation of Windows PCs powered by NVIDIA RTX Spark. These devices bring together performance, efficiency, graphics, and on-device AI in thin-and-light designs that make powerful experiences feel faster. RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, and up to 128GB of unified memory. And the new Surface Laptop Ultra shows what happens when that power is thoughtfully applied. Creators and developers can move faster, push further, and build richer experiences locally on Windows, without compromise.

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NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

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Your boy with Jensen! What a day to be alive :) Got a chance to ask an exclusive Question to Jensen at the NVIDIA GTC Press QnA. Asking Jensen about the all new RTX Spark and how will it impact the market 2/3 years down the line. Starting the day with a QnA with Jensen Huang and this is me with Jensen, ladies and gentlemen! #jensen #nvidia NVIDIA AI NVIDIA
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Your boy with Jensen! What a day to be alive :) Got a chance to ask an exclusive Question to Jensen at the NVIDIA GTC Press QnA. Asking Jensen about the all new RTX Spark and how will it impact the market 2/3 years down the line. Starting the day with a QnA with Jensen Huang and this is me with Jensen, ladies and gentlemen! #jensen #nvidia NVIDIA AI NVIDIA

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For the innovator who has everything (except this) . . . 🎁 Compact, capable, and efficient -- NVIDIA DGX Spark is the perfect companion for anyone ready to build, prototype, or refine their AI ideas. Give the gift that doesn’t just keep on giving -- it keeps innovating.
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For the innovator who has everything (except this) . . . 🎁 Compact, capable, and efficient -- NVIDIA DGX Spark is the perfect companion for anyone ready to build, prototype, or refine their AI ideas. Give the gift that doesn’t just keep on giving -- it keeps innovating.

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27,207 Aufrufe • vor 8 Monaten

NEW: Microsoft just unveiled its most powerful Surface ever. Surface Laptop Ultra is a 15-inch NVIDIA-powered laptop built to run local AI models, creative work, and gaming. • NVIDIA RTX Spark chip with up to 20 Arm CPU cores • Blackwell GPU with 6,144 CUDA cores • Up to 128GB unified memory • Runs up to 120B parameter AI models locally • 15-inch mini-LED display with 2,000 nits peak brightness • Dual-fan cooling with 2.5x the thermal capacity of Surface Laptop 7 This could be a serious AI workstation.
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NEW: Microsoft just unveiled its most powerful Surface ever. Surface Laptop Ultra is a 15-inch NVIDIA-powered laptop built to run local AI models, creative work, and gaming. • NVIDIA RTX Spark chip with up to 20 Arm CPU cores • Blackwell GPU with 6,144 CUDA cores • Up to 128GB unified memory • Runs up to 120B parameter AI models locally • 15-inch mini-LED display with 2,000 nits peak brightness • Dual-fan cooling with 2.5x the thermal capacity of Surface Laptop 7 This could be a serious AI workstation.

Ritwik Pavan

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NVIDIA AI Infrastructure

268,567 Aufrufe • vor 7 Monaten