Perplexity released Portable Computer on August 25, a local version of its Computer agent platform that runs AI agents on users' own Nvidia hardware, starting with the DGX Spark and RTX GPU PCs, to re…
A developer compared Apple's Mac Studio M5 Ultra and NVIDIA's DGX Spark as local AI machines, finding the Mac Studio offers 4.4x the memory bandwidth for faster LLM inference, while the DGX Spark prov…
Perplexity AI Inc. launched Portable Computer, an on-device AI agent for desktops with Nvidia Corp. silicon, following reports that Nvidia is considering an investment valuing the startup at over $30 …
Perplexity launched Portable Computer on Tuesday, moving its Computer agent stack onto NVIDIA's DGX Spark so files, models and most tool execution can stay on user-controlled hardware, with work compl…
Perplexity launched Portable Computer, a fully local version of its agentic Computer platform that runs on Nvidia DGX Spark desktops and Linux machines with Nvidia RTX GPUs, eliminating monthly token …
Perplexity launched Portable Computer, a fully local version of its agentic Computer platform, on Tuesday, developed with Nvidia, running on Nvidia DGX Spark and Linux machines with RTX GPUs. The syst…
Perplexity AI launched Portable Computer, a local-first AI agent that runs on NVIDIA's DGX Spark hardware and processes tasks on-device before reaching the cloud, available now for Pro and Max subscri…
Perplexity launched Portable Computer, a local AI agent that runs open models on desktop hardware, with Nvidia's DGX Spark as a partner platform. The agent runs a post-trained version of Alibaba's Qwe…
A hardware enthusiast is weighing two multi-GPU inference builds, comparing Nvidia RTX 4000 Pro Blackwell GPUs against AMD R9700 Pro GPUs, with the Nvidia option consuming 140 watts per GPU versus 300…
NVIDIA's Nemotron-3-Nano-Omni-30B multimodal model now runs fully in llama.cpp with working audio and video, thanks to a new GGUF release by engram-ae and a llama.cpp fork by VincentKaufmann. The rele…
A homelab user deploying DeepSeek-V4-Flash-0731 on two DGX Spark units achieved 1M token context with an NVFP4 KV cache using a custom vLLM fork, reporting a KV cache size of 1,492,347 tokens and maxi…
A tech enthusiast with 40 years of experience is seeking advice on whether to wait for the RTX Spark laptop or purchase an Asus Ascent (GB10) for local AI experimentation, including running LLMs from …
NVIDIA's DGX Spark, powered by the GB10 superchip with 128 GB of unified LPDDR5X memory, achieves only 11.5 tokens per second running Qwen3.8-27B at Q4_K_XL quantization, limited by 273 GB/s memory ba…
An engineer detailed the setup of an NVIDIA DGX Spark for AI development, covering system updates, dependency installation, and configuration of Ollama with models like Qwen3.8 and Qwen2.5-Coder. The …
A developer benchmarked Hashcat on an NVIDIA GB10 GPU inside a DGX Spark system, reporting speeds of 81.16 GH/s for MD4, 53.54 GH/s for MD5, and 16.70 GH/s for SHA1. The benchmark used Hashcat v7.1.2-…
A developer reports that porting 250,000 lines of legacy weather simulation code to GPUs requires a chunk-and-verify workflow using an LLM agent to map data flow, identify hot kernels, and iteratively…
A Microsoft MVP based in Japan benchmarked seven local large language models on an NVIDIA DGX Spark, running identical Japanese business questions to compare speed, format adherence, and answer qualit…
AMD's Ryzen AI Halo may outperform NVIDIA's DGX Spark for local AI development, according to a hardware comparison. The Ryzen AI Halo offers better power efficiency and thermal performance, while the …
Alibaba's Qwen3.8-27B open-source model achieves 206.1 tokens per second decode on a single Nvidia RTX 5090 using SGLang's NVFP4 and DSpark, with Day-0 support in SGLang. The 27B-parameter multimodal …
NVIDIA released Nemotron 3.5 Lightning on 2026-08-11, a 31.6B-parameter mixture-of-experts model with ~3.6B active parameters per token, hybrid Mamba-Transformer architecture, multi-token prediction, …