
AMAX is an NVIDIA Elite Partner
The highest level of NVIDIA partner competency
Prevalidated rack solutions built to optimize performance, efficiency and cost.
The highest level of NVIDIA partner competency
8x higher energy efficiency with lower cost of ownership compared with CPU-only 2U systems.
Power generative AI, large language models, and agent-based systems.
Handles rendering, simulation, and immersive 3D projects with fourth-gen RT cores and neural graphics acceleration.
PCIe Gen 5, MIG partitioning, and liquid cooling enable flexible scaling from single racks to full AI factories.
AMAX handles the entire deployment process end-to-end. Just plug in and start running your workloads.
We evaluate power, space, and cooling for system readiness.
We help you choose and source the right systems and storage.
Our team installs, cables, and validates hardware for operation.
We design and deploy high-speed, low-latency network setups.
We run performance checks to ensure systems are fully optimized.
We install and configure the NVIDIA software stack and tools.
We provide onsite or remote help during system rollout.
We offer monitoring and service to keep deployments running.
Watch how our engineers built and delivered a full NVIDIA DGX SuperPOD featuring DGX B200 systems for a leading generative AI customer.
We deliver fully engineered solutions, designed, built, validated, and supported. That means you get a system that is production-ready, not just a collection of parts
AMAX focuses on complete solutions rather than individual components. We right size every system to your workloads, from GPU servers to multi-rack clusters, so you get the infrastructure that fits your needs today and can scale tomorrow.
No. RackScale 32 is air-cooled and fits into standard CRAC-based data centers, making deployment faster and simpler.
Yes. RackScale 32 is designed as a modular building block. Start with a single rack and expand into multi-rack clusters to power AI factories and visualization environments.
Generative AI, large language models, simulation, rendering, digital twins, and large-scale analytics all run efficiently on RackScale 32 clusters.