AI Servers
- 6 products
Enterprise AI Infrastructure
From the desk to the data centre
Alchemist Server designs, integrates and delivers AI infrastructure for enterprises across Malaysia. Develop on a deskside GB10 system, serve the model at the site, scale to HGX B300 and immersion-cooled racks.
Products
Enterprise AI infrastructure from deskside development systems through rack-scale accelerated compute, immersion cooling, satellite connectivity and robotics.
Solution Blueprints
AI Development Lab
Give each researcher a machine that holds the whole model in memory, so development stops queueing behind production training.
Learn MoreEnterprise Training Cluster
Eight-way HGX B300 nodes sized around the power and cooling the building can actually deliver, not around a vendor configuration sheet.
Learn MoreRack-Scale Inference Platform
MGX chassis taking PCIe accelerators, sized to the model being served rather than to the largest box on the list.
Learn MoreImmersion Cooling
For sites with the power available and nowhere for the heat to go. Immersion turns a thermal problem into a plumbing problem, which is the solvable one.
Learn MoreEdge AI Deployment
Serving a model at the site that uses it, because the round trip is too slow or the data is not allowed to leave.
Learn MoreRemote Site Connectivity
The terminal is the easy part. What decides whether the install works is the obstruction line, the mount and whether the kit has a wired port.
Learn MoreRobotics Research Platform
A platform to work with and a machine to develop against, with the limits of what that gets you stated plainly.
Learn MoreFeatured Brands
Latest Insights
Deskside or Cluster: Where Model Work Should Actually Happen
Most organisations put development on the cluster because that is where the GPUs are, then wonder why training queues never clear.
PCIe or SXM: What the Choice Actually Costs
Eight GPUs in slots and eight GPUs on a baseboard are not two price points of the same thing. One is serviceable, the other is faster between cards, and the workload decides which matters.
Running AI Where There Is No Fibre
A site without terrestrial connectivity can still run inference locally. What it cannot do is go unmanaged, and that is the problem worth solving first.
Planning an AI infrastructure build?
Tell us the workload and the power envelope you have to work within. We will come back with a configuration, a lead time and a written quote.