Running Llama 70B on an RTX 3090 with ntransformer
On February 22, 2026, the ntransformer repository page says its C++/CUDA inference engine runs Llama 70B on an RTX 3090, transferring data from NVMe to the GPU without passing through the CPU.
Source: ntransformer executa Llama 70B em uma RTX 3090 (github.com). Text prepared with AI from this source.
What happened and what to do
On February 22, 2026, the ntransformer repository page says its C++/CUDA inference engine for language models runs Llama 70B on an RTX 3090. The post describes transferring data from NVMe to the GPU without passing through the CPU. The claim points to a possible way to run large models on a single consumer GPU.
A company can assess this architecture through a diagnosis comparing model requirements, memory, storage, performance, and costs with its infrastructure. It can then implement an isolated test environment, resource monitoring, and a private API to evaluate feasibility before using inference in an internal process.
How the consultancy can help
Wendelmaques can diagnose the technical and operational feasibility of this approach for your case, define a scope, and implement and operate a private inference environment, with an API and monitoring tailored to your requirements.
Next step
Send a short description of your case to discuss the scope and receive an implementation or consultancy proposal.
Let's assess your project
I reply with scope and a proposal.