Optimized inference microservices
Managed deployment of NVIDIA NIM inference microservices.
NVIDIA NIM packages optimized inference engines for popular foundation models as containerized microservices with standard APIs. GPUMarket provisions the underlying NVIDIA GPU infrastructure and operates NIM deployments as part of a managed inference stack.
What is NVIDIA NIM?
NIM (NVIDIA Inference Microservices) provides pre-optimized, containerized inference for a range of foundation models, aiming to reduce the engineering effort required to get production-grade throughput on NVIDIA GPUs. It is commonly used by teams that want NVIDIA-optimized performance without building a custom inference stack.
GPUMarket is an independent infrastructure provider and is not affiliated with the NVIDIA NIM project. We provide and operate the GPU infrastructure it runs on.
What we manage for you
- NVIDIA GPU infrastructure sized for your chosen NIM microservices
- Container deployment and orchestration
- Scaling and load balancing across GPUs and nodes
- Licensing and version management
- Monitoring, logging and alerting
- Integration with your existing applications
Ideal for
- Teams standardizing on NVIDIA-optimized inference for supported models
- Enterprises that want a supported, production-grade inference path
- Organizations combining NIM with other managed inference engines by workload
Recommended GPUs
Related solutions
Frequently asked questions
Is GPUMarket affiliated with NVIDIA?
No. GPUMarket is an independent GPU infrastructure and managed services provider. We deploy and operate NVIDIA NIM on infrastructure we provision, but NIM itself is an NVIDIA product.
How does NIM compare to vLLM for our use case?
NIM offers pre-optimized, supported containers for specific models, while vLLM offers more flexibility for arbitrary open-weight models. We can help you evaluate which engine fits your model choice and operational requirements.