I help teams turn ideas into working AI prototypes by running custom PyTorch experiments on an NVIDIA A100 (80 GB). You get both the GPU (Graphics Processing Unit) and a deep-learning engineer, often at a lower total cost than renting the GPU alone.
Your experiments run on a datacenter-class GPU, ideal for vision transformers, large convolutional networks, and other compute-heavy models.
I do more than launch training jobs: I help design experiments, choose architectures, debug training instability, and profile performance.
After understanding your use case, I estimate the required GPU hours and engineering time, and send a fixed-price quote with a clear delivery date.
You own the trained models, code, notebooks, and reports. There are no hidden platform fees or lock-ins.
My name is David Vikstrand, a deep-learning engineer based in Sweden and founder of Vikstrand Deep Solutions (VDS).
I work directly in PyTorch, training custom neural networks on an NVIDIA A100 (80 GB) for real-world applications such as computer vision and representation learning. I have experience from research projects at RISE Research Institutes of Sweden and from building practical AI systems for industry clients.
When you work with me, you get clear communication, transparent experiments, and a focus on moving from idea to working prototype as quickly and safely as possible.
No. This is a service, not raw GPU rental. You get access to an NVIDIA A100 together with my time as a deep-learning engineer. I design and run the experiments for you, which usually leads to better results and a lower total cost than renting and trying to figure everything out alone.
It depends on scope and data. Simple prototypes can be a few hundred dollars; more complex work (larger models, multiple experiments, or tricky data) can be higher. After you describe your use case, I’ll send a fixed-price quote before any commitment is required.
Yes. Most of my work is fully remote, and I can collaborate with teams in Europe, the United States, and Asia. We can coordinate via email, chat, and video calls.
Absolutely. If your project involves sensitive data or confidential business information, I am happy to sign a non-disclosure agreement before we go into details.
Good fits include: training or fine-tuning vision models, experimenting with new architectures, improving an existing model’s accuracy or speed, and exploring self-supervised or representation-learning approaches. If you’re unsure, just describe your idea and I’ll tell you honestly whether I can help.
Fill out the form below with as much detail as you’re comfortable sharing. I’ll review your project, ask any clarifying questions, and send back a free, no-obligation fixed-price quote.
Prefer a quick call instead? Book a free 20-minute scoping call.