Windows

Oct 16, 2026

• NVIDIA

  Code, Test, and Deploy on One Machine with NVIDIA RTX Spark

  NVIDIA RTX Spark consolidates AI development onto a single machine by integrating the GB10 system-on-a-chip, up to 128GB unified memory, a Blackwell GPU with 1 petaflop of FP4 compute, and a Grace CPU. This eliminates the split across laptop, cloud API, and cloud VM, enabling local coding agents and reducing token consumption through hybrid prompt routers. Compared with Intel Panther Lake, RTX Spark delivers 4.6x faster coding-agent performance, 2.7x faster fine-tuning, and 1.8x faster compilation. A partnership with Microsoft provides Windows Developer Config, WSL optimizations, native PyTorch-CUDA, Python 3.15, and over 2,000 Conda packages for Arm. Local agents like GitHub Copilot, Pi, and Junie are optimized, and decision models in llama.cpp and Unsloth offer near-instant actions while the Nemotron 3.5 Bolt model fits in 24GB using 2-bit quantization.

• Jetbrains

  Junie Local Comes to the NVIDIA RTX Spark

  JetBrains announced Junie Local is now supported on the NVIDIA RTX Spark platform from day one, and Windows support has moved from experimental to stable. The RTX Spark pairs a Blackwell RTX GPU with a Grace CPU, enabling local AI coding on slim laptops and compact desktops. In testing, Junie Local reached generation speeds of up to 55 tokens per second on the RTX Spark, using Blackwell’s Tensor Cores for FP8 computation and speculative decoding. Junie Local automatically sizes the context window to fit available GPU memory, and users can choose between Qwen3.6-27B or a merged Qwen3.8-3.6-27B-blend model. The local engine now features a simple installer, reliable startup and updates, and no token charges or quotas, with code never leaving the machine.