A new beginning.
Joined November 2024
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NVIDIA RTX Spark is here.
Build AI locally, bring your creative ideas to life, and take your favorite games along.
A new beginning for @Windows PCs starts today.
See how NVIDIA RTX Spark helped bring Microduck to life: youtube.com/watch?v=VvJai6HG…
DGX Station is bringing local AI to more teams and workflows.
Serve 30+ users, simplify IT management with new integrations, and build with @Windows native applications on upcoming systems expected later this year.
Explore the latest: nvda.ws/3UcOztT
DGX Spark is getting new systems, bigger clusters, and easier model setup.
DGX Spark 64GB systems start rolling out Oct. 23, with eight-system cluster support and a new Model Launcher coming later this month.
Get the details: nvda.ws/4z2di3p
Tune in! 🦞
NVIDIA RTX Spark: Local AI, Unlocked | The ClawCast Episode 14 xitter.cf/i/broadcasts/1mGPaZoWB…
Congrats @Recursive_SI on launching Flint 40B MoE trained on NVIDIA GB300 NVL72! 🙌
The open weight model was built with Eureka Machine, their automated AI research system that proposes ideas, tests them, and learns what to try next, all in under 4 months.
Run the model locally on RTX Spark, DGX Spark, and RTX PRO 6000 Blackwell, with the NVFP4 checkpoint on @huggingface: huggingface.co/RecursiveSI/f…
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
When @jensenhuang asks for a somersault, you deliver. 🦆
See how AI agents on NVIDIA RTX Spark help bring @huggingface's Microduck from simulation to the real world.
Local AI news from #NVIDIAGTC Berlin:
🟢 @UnderdogAI local agent available on RTX Spark
🟢 Lots of DGX Spark updates
🟢 DGX Station: New integrations + @Windows systems coming in December
🟢 New open models + faster inference support
Read the blog: blogs.nvidia.com/blog/local-…
ALT NVIDIA hardware setup with AI theme showing a desktop, laptop, and connected components.
NVIDIA RTX Spark retweeted
RTX Spark has arrived 🔓💻
Join @GeForce_JacobF at Best Buy in San Francisco for a first look at the new @NVIDIARTXSpark laptops, built for gamers who want to do it all - from creating and running advanced AI models to gaming.
Learn more → nvda.ws/4zEAWmj
Qwen3.8-Flash-Next and GLM-5.3-Flash, optimized for local AI. ⚡️
NVIDIA’s FP4-Local checkpoints reduce memory requirements, giving you more room for agents and longer context on DGX Spark and RTX PRO 6000 Blackwell systems.
Explore the NVIDIA Local AI Optimized Checkpoints collection: huggingface.co/collections/n…
@Alibaba_Qwen @Zai_org
Explore the NVIDIA Local AI Optimized Checkpoints collection: huggingface.co/collections/n…
NVIDIA RTX Spark retweeted
It's an exciting day for local AI builders. You can now use local models in Pi on your RTX Spark laptop.
We’ve worked with @NVIDIARTXSpark on a guide to getting set up with llama.cpp and NVIDIA’s optimized recipes.
Here’s how to get started ↓
NVIDIA RTX Spark retweeted
A new beginning for Windows PCs is almost here!
Get ready for @NVIDIARTXSpark to supercharge what’s possible in Jan 👋
Learn more: blogs.nvidia.com/blog/local-…
A little curiosity can take you a long way. For Selena, it led to building robots, exploring AI for well-being, and finding new ways to create with NVIDIA RTX Spark.
Explore what you can build with NVIDIA RTX Spark: nvidia.com/en-us/products/rt…
Love seeing what @UnderdogAI is bringing to RTX Spark. Their Saluki 27B model brings fast, private personal AI to your laptop in under 8GB of memory. 👏
We're partnering with @NVIDIA to bring frontier intelligence to @NVIDIARTXSpark laptops
Underdog's model and chip codesigned inference engine optimizes CUDA Megakernels to bring Datacenter speeds, on a laptop
Same weights & hardware. Every update makes Underdog faster with better software data efficiency
Underdog Saluki 27B is on par with Claude Opus 4.6 and fits in under 8 GB
Underdog: your private personal AI, now on NVIDIA devices underdog.ai/nvidia