The Real Cost of Running SOTA LLMs Locally
Running state-of-the-art large language models locally requires either a $50,000+ multi-GPU rig or a software-driven pipeline decomposition approach, as memory bandwidth—not compute—is the primary bot…
Running state-of-the-art large language models locally requires either a $50,000+ multi-GPU rig or a software-driven pipeline decomposition approach, as memory bandwidth—not compute—is the primary bot…
NVIDIA released the Nemotron-3-Ultra-550B-A55B-NVFP4 model, a 550-billion-parameter large language model with 55 billion active parameters using NVFP4 quantization, under the OpenMDW-1.1 license. The …
Vulkan 1.4.356 introduces the VK_EXT_shader_ocp_microscaling_types extension, adding support for Open Compute Project Microscaling MX data types (MXFP4, MXFP6, MXFP8, MXINT8) to improve machine learni…
The Raspberry Pi 5 now comes in a 16 GB version for $120, enabling local AI model inference with MoE models like Qwen3.5 at 7–8 tokens per second, though real-world costs reach $180–220 with necessary…
Oxmiq, founded by Raja Koduri, raised $35 million to develop OxCore, a licensable GPU IP built on RISC-V that enables CUDA and PyTorch code to run on non-NVIDIA hardware without modification. The comp…
Kubernetes rightsizing matches pod resource requests to actual usage, closing an overprovisioning gap where 69% of requested CPU goes unused, according to the 2026 Cast AI report. A five-step workflow…
SpaceX is pursuing a multi-billion dollar AI deal that would integrate massive compute clusters into its operations, signaling a strategic shift toward treating AI compute as a core resource alongside…
A comprehensive analysis of 15+ large language model quantization methods categorizes them into four paradigms: CPU-optimized GGUF-based approaches, GPU-native weight-only kernels, NVIDIA's floating-p…
A new open-source agentic video production system, OpenMontage, has been released with 31K+ GitHub stars, offering 12 pipelines and 52 tools for automated video creation. Other notable AI tools includ…
A comprehensive guide to developer tools for 2026 covers 91 resources including AI coding agents, CLI tools, and editor integrations, with highlights such as Strix AI (31K+ stars) for penetration test…
Anaconda CEO Peter Wang demonstrated a fully local AI development environment combining Anaconda Agent Studio and NVIDIA DGX Spark, enabling enterprise-grade AI without cloud dependency. The setup, te…
NVIDIA announced that its Confidential Computing technology for Blackwell GPUs achieves up to 98% of the inference performance of non-secure solutions, enabling hardware-rooted AI security without sig…
NVIDIA is launching a revenue-sharing and credit-support model with AI cloud partners to accelerate large-scale AI factory deployments. The model allows partners to build and operate DSX AI factories …
NVIDIA and its partners announced a $500 billion commitment to build AI infrastructure across the United States, with semiconductor production underway at TSMC's Arizona facility and new AI systems fa…
OpenAI engineers have developed optimization techniques that cut AI inference costs by more than 50%, reducing hardware footprint and easing infrastructure pressures. The breakthrough, driven by strat…
The Automate 2026 trade show highlighted the robotics industry's shift from humanoid hype to practical deployment of physical AI and edge computing, with companies like ABB, FANUC, and Siemens showcas…
BlackBerry reported Q1 revenue of $152.9 million, up 26% year-over-year, and EPS of 4 cents, beating estimates. The company's QNX operating system is now in 275 million cars and expanding into robotic…
Luxonis raised $14 million in Series A funding led by Denali Growth Partners to scale production of its OAK cameras and advance its physical AI perception layer. The company plans to expand commercial…
Apple has extended its Private Cloud Compute (PCC) to Google Cloud for the first time, running AI workloads on NVIDIA Blackwell GPUs, Intel TDX CPUs, and Google Titan chips. The move allows Apple to u…
NVIDIA launched a new business model enabling AI clouds to procure its infrastructure through revenue-sharing and credit-support, accelerating access to large-scale accelerated computing for startups,…