Nvidia's first benchmarks for its Groq 3-based LPX racks show a 4x speedup over the nearest alternative, delivering 3,400 tokens per second on Google's Gemma 4 31B model, according to independent test…
NVIDIA announced that its Groq 3 LPX inference accelerator, paired with the NVIDIA Vera Rubin NVL72 platform, achieved a world-class interactivity of 3,431 output tokens per second on the Gemma 4 31B …
NVIDIA announced that its Groq 3 LPX inference accelerator is now in full production, delivering a record 3,400 output tokens per second in Artificial Analysis benchmarking running Gemma 4 31B with a …
As of August 2026, the best open LLM to run locally depends on VRAM, with gpt-oss-20b recommended for 8-12GB, Gemma 4 31B or Qwen3.6-35B-A3B for 24GB, and gpt-oss-120b or DeepSeek V4 Flash for 128GB u…
Reachpad now includes Google's Gemini 3.7 Flash model for free on every pad, joining Gemma 4 31B and Gemini 3.6 Flash, with no provider account or API key required. The models are served through Reach…
Reachpad now includes free access to Gemma 4 31B and Gemini 3.6 Flash coding models on every pad, usable through OpenCode without an API key. The models are included with the pad, with a daily allowan…
Researchers Patrik P. Süli, György Eigner, and Roland Hollós introduced Distribird, an agentic web application that builds Bayesian prior distributions from scientific literature, in an arXiv preprint…
Distribird, an agentic web application presented in arXiv:2608.11210v1, automates the construction of informative prior distributions for Bayesian model calibration by searching scientific literature,…
A new online calculator from an unnamed developer helps users determine which open-source large language models (LLMs) can run locally on their hardware, listing 13 of 16 models that fit on an RTX 409…
Researchers from an unnamed institution released a paper on arXiv presenting IO Factory, a framework for simulating AI-enabled influence campaigns with up to 100,000 civilians and 10,000 operators, us…
A Colab experiment with Gemma 4 12B Q4_K_M failed to reproduce the pathological collapse reported for the 31B model under a hard letter constraint with greedy decoding, suggesting the issue may be arc…
OpenLake, an open-source storage engine for offloading LLM KV caches from GPU memory to RAM and NVMe, cuts GPU time by 48.2% for long-context inference, reducing a 1,169-second workload to 606 seconds…
Observability vendor Coroot's research argues that the hardest part of AI-assisted root cause analysis is no longer the reasoning ability of large language models but the pipeline that decides what da…
Nvidia's NVLink bridge boosts prompt processing by 30% and FSDP training by nearly 3x on dual RTX 3090s, but token generation and DDP training show no benefit, according to tests by a developer runnin…
Open-weights models are dramatically cheaper per token than closed models, with the five cheapest models on the Artificial Analysis pricing index all being open-weights and the five most expensive all…
A community-built fine-tune of Google's Gemma 4 31B model has beaten the base model by 290 Elo points on the EqBench3 benchmark for marketing copy, according to a Reddit post. The fine-tune leverages …
Amazon Bedrock announced the availability of Gemma 4 models, a family of open-weight AI models from Google DeepMind, including dense and mixture-of-experts variants with built-in reasoning, function c…
Google's Gemma 4 31B model, running on consumer laptop hardware via Ollama's new QAT weights, is now benchmarking near Anthropic's Claude Opus 4, according to an Aligned News post on X. The same post …
Vilius Vystartas tested 10 large language models on 10 coding tasks to determine whether prompting them to write efficient code actually improves output. Only four models showed measurable gains, with…
The article describes **DiffWhisperer**, a Python CLI tool built with **Gemma 4 31B Dense** that transforms raw git diffs into high-level architectural narratives instead of simple summaries. The auth…