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AI hardware machining

CNC processing that supports AI: hardware parts that hold their geometry

AI servers, edge inference boxes, robot arms and camera modules all carry machined parts that set thermal and optical limits. This page explains what those parts demand from a machine shop, which processes fit, and when a design should be changed before cutting metal.

±0.005 mm tolerance16 five-axis centers3–5 day shipping
CNC processing that supports AI hardware parts, five-axis machined component
Key takeaways

Key takeaways

AI parts are mostly thermal and opticalCold plates, heat spreaders, lens barrels and sensor housings decide performance before the accelerator does.
Flatness beats a tight diameterA 0.02 mm flatness callout on a 300 mm cold plate is harder to hold than a ±0.005 mm bore.
Thin walls need fixtures, not speedCopper and aluminium fins distort under clamping force long before they distort at the cutter.
One setup removes stacked errorFive-axis milling in a single setup keeps bore-to-face relationships that four setups cannot.
Data only helps if the process repeatsIn-process probing is useful when the same program produces the same result on part 1 and part 200.
What the parts are

Which machined parts actually sit inside AI hardware

AI hardware is not one product. It is a stack of racks, boards, optics and actuators, and only some of that stack is machined. The machined parts are the ones that manage heat, hold an optical axis, or carry a load. A liquid cold plate under a GPU module is a good example: two plates bonded or friction-stir welded, with internal channels that must not leak and a mating face that must sit flat against the die package.

Edge inference boxes follow a similar pattern at a smaller scale. A machined aluminium housing doubles as a heat sink, so the wall thickness and fin geometry are thermal decisions as much as mechanical ones. Camera modules and lidar units add a different requirement: the bore that locates a lens must stay concentric with the sensor plane, often to 0.01 mm across the assembly.

Robotics adds moving parts. Harmonic drive housings, joint brackets and end-effector plates carry repeated loads and need bores that stay round after anodizing. None of these parts are exotic on their own. What makes them demanding is that several requirements land on the same face at once.

  • 1
    Thermal partsCold plates, heat spreaders, finned housings, vapour chamber frames
  • 2
    Optical partsLens barrels, sensor mounts, camera brackets, lidar housings
  • 3
    Structural partsRack rails, chassis frames, robot joint housings, end-effector plates
  • 4
    Interconnect partsBackplane brackets, connector panels, cable clamp blocks
Tolerances

Tolerances and finishes that AI parts really need

The headline number is ±0.005 mm, and we hold it on features that justify it: bearing bores, dowel holes, optical seats, spigot diameters. Putting that tolerance on every dimension does not improve the part. It raises cost and slows inspection without changing function. A cold plate does not care if its outer profile is ±0.1 mm, but it cares a great deal about flatness across the die contact area.

Surface finish follows the same logic. A sealing groove for an O-ring usually runs Ra 0.8–1.6 μm so the elastomer can seat. An optical bore may need Ra 0.2–0.8 μm to control stray light and adhesive bond line. A structural bracket can stay as machined at Ra 1.6–3.2 μm and nobody will notice.

Then there is the requirement that rarely appears on the drawing: stability over temperature. An aluminium cold plate and a steel bracket expand at different rates. If the design bolts them together at 20 °C and expects alignment at 70 °C, no machining tolerance will save it. That is a design conversation, and it is worth having before the first chip is cut.

Process choice

Matching the process to the geometry

Three-axis milling handles most flat plates, covers and brackets, and it is the cheapest way to get there. Once a part has features on four or five faces, or an angled port that must meet an internal channel, the setup count becomes the cost driver. Every extra setup adds a fixture, a re-datum and a chance for error to stack.

Five-axis machining removes that stack. We run 16 simultaneous five-axis centers with travels of 750 × 1,150 × 550 mm and 600 × 600 × 600 mm, plus a Ø400 mm rotary table for parts that need continuous rotation. A cold plate with ports on two sides and a channel pattern on the back is a one-setup job on a five-axis machine. The same part on a three-axis machine is four setups and a fixture design.

Turning and mill-turn centers cover the round parts: lens barrels, spigots, connector bodies, shaft adapters. We run 16 mill-turn centers so a part can be turned and then milled without losing concentricity. For long, thin profiles such as heat pipes and extrusion-based housings, the 4,000 × 400 × 150 mm travel machines take parts up to 4,000 mm maximum processing size.

  • 1
    Flat plates and coversThree-axis milling, 27 machines available
  • 2
    Multi-face housings and cold platesFive-axis in one setup
  • 3
    Round optical and connector partsMill-turn, concentricity held across operations
  • 4
    Long profilesUp to 4,000 mm on large-travel machines
Materials

Material choices for thermal and structural AI parts

Aluminium dominates for a simple reason: it is easy to machine and it conducts heat well. 6061-T6 is the default for cold plates, housings and brackets. 7075 gives more strength where a bracket is thin, though it machines differently and anodizes to a slightly different colour. 2024 is used occasionally where fatigue matters. Copper conducts better than any aluminium grade but weighs three times as much and is far harder to machine, so it appears mostly in small, high-flux spreaders.

Stainless shows up where corrosion or cleanliness matters. 304 and 316L are common for medical-adjacent fixtures and wet environments. 17-4PH gives high strength with reasonable machinability for robot joint parts. Titanium TC4 (Ti-6Al-4V) is chosen for weight-critical actuator components, at a cost in tool life and cycle time.

Two material notes matter for AI hardware. First, beryllium copper machines to fine detail and conducts well, but the dust needs control, so it belongs in a shop with the right extraction. Second, carbon fibre and PEEK appear in lightweight brackets and insulators. Both cut cleanly with the right tooling but behave nothing like metal when you clamp them.

Fixtures and distortion

Why thin fins and long plates move after machining

A cold plate with 0.8 mm fins is a spring. Clamp it hard on a vise and the fins close up. Release the clamp and they spring back to a shape that is no longer parallel to the base. The cutting forces were never the problem. The clamping was.

We deal with this in three ways. Soft jaws machined to the part profile spread the load. Vacuum fixtures hold a plate flat without point pressure. For very thin sections, we leave a sacrificial web and remove it in a light finishing pass, which lets the material relax before the final dimensions are cut.

Long plates have a second issue: residual stress in the stock. A 6061 plate that has been rolled and not stress-relieved will bow after the first face is milled away. The fix is either stress-relieved stock or a rough, relax, finish sequence. Both cost cycle time. Both are cheaper than a scrapped batch.

Thermal growth during cutting matters too. Aluminium expands about 23 µm per metre per °C. A 500 mm part that warms by 5 °C during roughing has moved roughly 0.06 mm. On a ±0.005 mm feature, that is the whole budget. We keep coolant flow steady and take finish cuts after the part has stabilised.

Selection guide

Which process fits which AI hardware part

Pick the row closest to your geometry, then read across.

Part typeProcessKey requirementWatch out for
GPU cold plate5-axis, one setupFlatness on die contact faceFin distortion from clamping
Lens barrelMill-turnBore concentric to sensor planeAnodize build-up in the bore
Robot joint housing4-axis or 5-axisBore roundness after coatingThin flange chatter
Rack bracket3-axis millingHole pattern positionCosmetic scratches in transit
Heat spreader3-axis, vacuum fixtureParallel faces within 0.02 mmStock residual stress
Connector panel3-axis + turningHole position, burr-free edgesBurrs inside blind holes
Long rail profileLarge-travel 3-axisStraightness over full lengthThermal growth during cut

When to choose which

If the part has features on three or more faces, or an optical bore tied to a flat seat, go five-axis and accept the higher rate. If it is a flat plate or bracket with holes, stay on three-axis and spend the savings on inspection.

FAQs

Questions engineers ask before sending AI hardware parts

Can you hold ±0.005 mm on a 300 mm cold plate?

We hold ±0.005 mm on features that call for it, such as dowel holes and bearing bores. On a 300 mm plate, flatness and parallelism are usually the binding callouts, and those are held by fixture design and a rough-relax-finish sequence rather than by the machine alone.

Send the drawing and we will tell you which callouts drive the cost and which ones you can loosen without losing function.

How do you stop anodizing from closing a tight bore?

Anodizing adds roughly half the coating thickness per surface, so a bore grows smaller. We mask critical bores, or machine them undersize with a known allowance, then re-check after coating. Hardcoat builds faster than clear anodize and needs a larger allowance.

If a bore tolerance is under 0.02 mm, tell us at quote stage so the masking or allowance is built into the program.

What lead time should we plan for?

Quotation and a free DFM analysis come back within 12 hours. Production can start within 24 hours of approval, and parts typically ship in 3–5 days. That timeframe assumes the drawing is released and the material is in stock or a standard grade.

Exotic stock such as titanium TC4 or Inconel may add procurement time, which we flag at quote.

Do you inspect every part or sample the batch?

Inspection is 100% before shipment. That covers raw material check, in-process monitoring and final inspection. Reports are available on request.

For AI hardware where a single out-of-flat cold plate can scrap a module, we can also run first-article inspection and hold a reference part through the run.

Can you work from a STEP file only?

Yes. A STEP file plus a 2D drawing for critical callouts is the usual package. If there is no drawing, our engineers flag which features need a tolerance and send a DFM note within 12 hours.

Uploads are treated as confidential, and an NDA is available on request before you send anything.

What is the minimum order quantity?

There is no minimum order quantity. We run from one prototype to 10,000+ part runs on the same programs.

Prototype and production parts come off the same machines and the same inspection process, so the geometry you approve is the geometry you receive at volume.

Send the drawing, get a manufacturability answer

Upload a STEP file and a drawing. We return a quotation and a free DFM analysis within 12 hours, with the callouts that drive cost marked clearly.

12-hour quote100% inspectionNo minimum order quantity

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