Phison’s aiDAPTIV+ webinar is a must‑attend for anyone looking to lower the barrier to entry for on‑premises AI. It dives into how aiDAPTIV+ extends GPU memory using cost‑effective flash SSDs—unlocking the ability to train large language models (LLMs) locally, without expensive cloud GPU rentals. Attendees will learn hands‑on strategies to build more affordable, privacy‑focused AI infrastructures in their homes, offices, or edge environments—precisely what Phison aims to demonstrate

The problem this webinar solves is clear: traditional GPU setups are limited by high-bandwidth memory and sky-high costs. aiDAPTIV+ removes these constraints by “swapping” less-used model data to SSDs, enabling LLM fine‑tuning with standard workstation hardware—even supporting up to 70B‑parameter models with low latency.
If you're struggling with GPU memory limits, infrastructure costs, or data sovereignty once you go cloud‑based, this session offers tangible solutions.

Key Takeaways

1. Unlock Large Language Model Training on Local Hardware
   Phison aiDAPTIV+ enables fine-tuning and inference of LLMs (up to 70B parameters) on cost-effective, off-the-shelf GPU workstations by extending GPU memory with SSDs—eliminating the need for expensive cloud infrastructure.
2. Reduce AI Infrastructure Costs
   By intelligently swapping inactive data to high-speed flash storage, aiDAPTIV+ drastically cuts hardware and operational costs while maintaining low latency and high throughput—ideal for startups, researchers, and enterprises.
3. Enable Private, On-Premises AI with Zero Code Changes
   The plug-and-play design of aiDAPTIV+ requires no software modifications, making it easy to adopt while preserving full data control—perfect for regulated industries or edge deployments that demand data sovereignty.

Top 5 reasons to attend the aiDAPTIV+ webinar:

1. Cost‑Efficiency: Learn how to swap expensive HBM/GDDR with flash SSDs to dramatically reduce AI infrastructure costs
2. Scalability: Discover how to fine‑tune large models (e.g., 70B‑parameter Llama‑2) on off‑the‑shelf GPU workstations.
3. Privacy & Control: Keep sensitive data in‑house and avoid cloud exposure, maintaining full data sovereignty phison.com.
4. Ease of Integration: aiDAPTIV+ fits into existing AI pipelines with no code rewrites—middleware handles the rest.
5. Edge and IoT Readiness: Accelerate on‑device inference with NVIDIA Jetson and edge systems—ideal for real‑world deployments