Fast, private LLM inference on everyday devices — not endless servers or cloud bills.
aiDAPTIV+ turns local PCs, workstations, and IoT edge systems into efficient, private inference engines with simple setup. No cloud latency. No data exposure. Just responsive AI running where you work and learn.
aiDAPTIV+ makes custom-trained AI accessible—delivering a simple, secure, and affordable solution for inferencing locally. No ongoing, unpredictable cloud costs. No shocking power bills. No data leaving your walls.
aiDAPTIV+ combines Phison high-performance flash with smart software to deliver fast, reliable LLM inference on everyday devices including PCs, workstations, and edge systems.
As LLM chat conversations grow, the model must store more recent “memory” (KV cache). When this exceeds GPU VRAM, performance slows sharply due to recomputation or GPU stalls. aiDAPTIV+ extends GPU-accessible memory using flash and intelligently manages that data so it’s available when the GPU needs it.
The GPU stays busy. Latency stays predictable. Users get smoother, more capable interactions — even with long prompts and agent workflows.
Domain-specific copilots and chatbots
Serve assistants that are tuned to your business or curriculum using local data, without exposing that data to third-party clouds.
RAG and document understanding
Run retrieval-augmented generation pipelines on-prem to answer questions from internal documents, manuals, research, or records while keeping content private.
Coding assistants and tools
Host local code copilots that understand your repositories, build systems, and internal libraries — all from a secured workstation.
Agentic and long-context workflows
Support multi-step agents, longer session histories, and richer tool use by giving models more working memory without sacrificing latency.
Learning and experimentation
Give teams and students a hands-on environment to explore LLM behavior, safety, and evaluation using real workloads on local hardware.
aiDAPTIV+ makes local inference possible on a range of personal computer and workstation form factors by extending the memory available to the GPU. That means you can select the right balance of cost, performance, and capacity for your workload.
Portable local inference for up to
mid-sized models and interactive use.
Reliable on-prem inference for teams,
labs, and small departments.
Higher-capacity systems for larger
models, longer contexts, or multiple
concurrent users.
Have a question about how aiDAPTIV+ works in your environment? Need help selecting the right solution or understanding performance expectations?
We’re here to help—from technical queries to purchasing decisions. Fill out the form and a member of the aiDAPTIV+ team will get back to you promptly.
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