CUDA, creator workloads, AI frameworks, and encoder/decoder blocks.
An article joins this feed when it matches these terms. Each one is also a search of its own.
You can now run GLM-5.3-Flash across multiple machines using the NVFP4 version provided by NVIDIA, via a native CUDA engine that bypasses Python, without changing a single bit of the output. In this article, I (Weave) will read through this…
This article provides a step by step guide to serving Gemma 4 12B, Google's quantization-aware trained (QAT) build, on an 8 GB NVIDIA RTX 3050 with llama.cpp, with every layer on the GPU and Google's multi-token prediction (MTP) drafter for speculative decoding. A…
This article provides a step by step introduction to speculative decoding with Gemma 4's multi-token prediction (MTP) drafter, served by llama.cpp on a local, desktop hosted GPU enabled system. It is the first of a short series: this part…
Acceptance rates hold steady across hardware This article provides a step by step guide to serving Gemma 4 E2B and E4B with Google's QAT assistant drafters through llama.cpp's speculative decoding, and measuring what the drafter is worth on two small NVIDIA cards:…
This article provides a step by step deployment guide for Qwen3.5-2B to a local, desktop and laptop hosted GPU enabled system, served by llama.cpp beside Gemma 4 E2B on the same cards. A suite of Python MCP tools is built to simplify…
When modern INT8-quantized neural networks execute in single-digit milliseconds, the system bottleneck shifts from raw compute to I/O and pipeline infrastructure. On discrete GPUs, constantly bouncing high-resolution video frames and intermediate payloads (like bounding box tensors) across the PCIe…
Both numbers in the title are real. Artificial Analysis has measured Bolt at 21 on its Intelligence Index and Gemma 4 26B A4B, in its reasoning configuration, at 17. Neither figure comes from a vendor, and both were live on the panel's model pages when…
Both are dated 15 October 2026 on their model cards. Both carry the same OpenMDW-1.1 licence, the same 256,000-token context window, the same Mamba-2 hybrid LatentMoE backbone and the same C-RADIO v4-H vision encoder. The repository metadata makes the relationship explicit in…
Your business deserves an address The Metropolix, from Startup Fortune: your own building and public page on the map, plus a Startup Fortune feature with annual plans. From $9 a month. A Startup Fortune initiative You are invited to be on…
Oct 15, 2026, 11:12 ET Following NVIDIA's open-source release of the Run:ai platform, Zesty's new autonomous capability continuously adapts GPU memory allocation, compute sharing, and workloads placement as demand changes, enabling more workloads to run on each GPU. With Automated Fractional GPUs,…