On-Premise AI is a deployment model where models and data are run on the organization's own infrastructure.
On-premise AI is needed when data must stay within an organisation. Assess data classification, sector regulation, networks and infrastructure.
Why is VRAM capacity critical for on-premises AI projects? We examine costs, data privacy and infrastructure requirements through RTX 4090 hardware modifications.
The rise in DDR3 RAM prices shows that older hardware does not always become cheaper. We explore procurement, maintenance and system upgrade decisions for businesses.
We explore the role of the AI Development Agent approach, from PBI analysis to CI/CD workflows, alongside developer responsibilities and the use of in-house LLMs.
How a multi-model strategy and in-house models can protect critical workflows against LLM service outages and reduce reliance on external providers.
Mistral has introduced a new trillion-parameter model focused on cybersecurity. The open-weight solution delivers enterprise data privacy and operational control.
The groundbreaking ceremony for the Ankara Temelli Data Center project has been held. Reinforcing digital data sovereignty, the facility will provide organizations with a secure…
Nvidia has introduced new open AI models that enable enterprises to run autonomous agents on servers and personal computers while preserving data security.
Developed through a collaboration between Meta and Apple, the Muse Spark Open model enables on-device artificial intelligence workflows on Mac computers powered by Apple Silicon.
EVREN, the domestic artificial intelligence infrastructure platform developed for the Turkish defense industry, has been launched, ushering in a new era for enterprises across the…
A data leak within the OpenAI research environment highlights once again the critical importance of overseeing autonomous AI agents and maintaining enterprise system security.
At X Mind Solutions, we take an integrated approach to measurement, ERP-connected multi-agent orchestration and return on investment in enterprise AI projects.
At TÜGİAD Future Match, we at X Mind Solutions discussed KobiGPT, data security and enterprise AI integrations with Aksoylar Mühendislik.
We showcased our Turkish-developed AI solutions with KobiGPT at Future AI Summit '26, presenting our On-Prem and online options with a focus on corporate information security.
At Future AI Summit 26, we exchanged views with Prof. Dr. Haluk Görgün on KobiGPT, the use of AI within organizations’ own infrastructure, and domestically developed technology.
We explore the four pillars of Türkiye’s AI Action Plan through KobiGPT’s approach to accessible technology, on-premise deployment and integration for SMEs.
KobiGPT enables new employees to access company documents by asking questions. Its answers cite sources, making information easier to find during onboarding.
