We help AI companies, Web3 teams, and research labs unleash the computational power of GPUs. We make your workloads faster, build and run the GPU systems behind them, and help your team get the most out of both.
Three ways we help teams make GPUs a real advantage: faster code, reliable systems, and a team that knows how to use them.
Make your workloads faster
We port, profile, and optimize your code, whether it's a simulation, a training pipeline, or a data processing job, so it gets the most out of every GPU.
Stable, scalable GPU systems, handled for you
End-to-end setup and operation of on-premises and cloud GPU environments, from choosing hardware to serving models in production.
Empower your team with deep GPU expertise
Independent advice on GPU strategy and hands-on training for your engineers, from frameworks like PyTorch down to CUDA.
We focus on the fields where compute is the bottleneck, and where the right software and infrastructure turn days into hours.
From fine-tuning to production serving, we help AI teams get more tokens per second out of every GPU, with multi-GPU scaling, high-throughput inference deployment, and low-level optimization where off-the-shelf libraries fall short.
Decentralized networks increasingly run on GPUs. We build and operate reliable GPU infrastructure for compute networks and node operators, and accelerate the compute-heavy workloads behind Web3 applications.
We partner with universities and research labs to port simulation and analysis codes to GPUs, set up lab clusters that researchers can actually use, and train students and research staff in GPU computing.
Monte Carlo pricing, risk analytics, and large-scale backtesting.
CFD, finite-element analysis, and signal and image processing.
Molecular dynamics, genomics pipelines, and drug discovery.
We profile your workloads and infrastructure to find where the time actually goes.
We propose the right mix of algorithm changes, software, and hardware for your goals.
We implement, measure, and iterate until the performance targets are met.
We train your team and keep systems running with ongoing maintenance.
Unicore GPU is a specialized team with backgrounds in both industry and academia, and more than a decade of hands-on GPU development, from low-level CUDA to production systems.
We combine low-level expertise in parallel programming with practical experience delivering enterprise systems, scalable infrastructure, and advanced computing projects. That means we can tune a single kernel or stand up an entire GPU platform, and we understand how the two affect each other.
As CPU-bound architectures reach their limits, GPUs offer a more scalable and efficient path forward. Moving to GPU-accelerated systems isn't just an optimization. It's a strategic shift in how computing gets done.
Whether it's a training program, a slow simulation, or a GPU cluster to build, send us a short note and we'll get back to you.
