HOT CHIPS 2025: NVIDIA GB200 / GB300 NVL72 — Why an AI Rack Is No Longer "a Collection of Servers," Seen Through Mechanics and Cooling
Why NVIDIA Started with MGX Instead of Jumping Straight to GB200
In this case study, NVIDIA didn't open with GB200 or GB300. It started with the MGX architecture — which actually gets to the heart of the problem.
AI systems are no longer a single-server design problem
Every customer differs slightly in CPU, GPU, DPU, NIC and management approach
Changing even one module ripples into a redesign of the entire system
Repeated customization makes time-to-market spiral out of control
MGX's core goal is to modularize system complexity, so that changes are absorbed locally instead of starting over every generation.
The Key to MGX Isn't Modularity — It's Openness
MGX is not an NVIDIA-proprietary internal architecture; it was contributed directly to OCP. That is a pivotal design decision.
Module interfaces, dimensions and specifications are fully public
3D models, 2D drawings and complete specification documents are released externally
Customers and the supply chain can customize on the same common foundation
This makes GB200 / GB300 more than NVIDIA products — they become a system architecture the ecosystem can absorb.
NVL72 Isn't Just About Compute — It's 120 kW-Class Systems Engineering
At the system level, GB200 / GB300 NVL72 operates at an entirely different scale.
About 120 kW of power per rack
About 7 kW per compute tray
About 1.4 exaFLOPS of FP4 compute per rack
NVLink built around copper interconnect at 200 Gb/s per lane
This is no longer the traditional "servers + switch" mindset — it's closer to a small supercomputer.
Why NVIDIA Insists on Copper for Scale-Up
The NVLink spine uses high-density copper cabling — not out of conservatism, but as a deliberate engineering choice.
Copper has low latency and predictable behavior
Compared with optics, it's more reliable and cheaper
Rack-level distances are still within its acceptable reach
This also explains why the rack's entire mechanical and structural design has to make way for large bundles of thick copper cable.
From OCP Open Rack V3 to NVIDIA's Custom Rack
NVIDIA's rack didn't start from scratch — it evolved from OCP Open Rack V3, but with many critical modifications along the way.
Keeps rear blind-mate power and front-side service access
Switches to 19-inch EIA pitch (44.5 mm) instead of OCP's 48 mm
Raises node density while shortening NVLink cables by about 120 mm
Improves high-speed signal integrity
What looks like a mere mechanical dimension decision directly affects signal quality and system reliability.
Power Forced the Whole Rack to "Grow"
The power density of GB200 / GB300 far exceeds what OCP originally designed for.
The original OCP bus bar is rated at roughly 35 kW
NVIDIA needs more than 1,400 A
That requires a thicker copper bus bar with a larger cross-section
So NVIDIA designed a rear extension frame for the rack.
Rack depth grows from 1,068 mm to about 1,200 mm
Making room for the larger bus bar, liquid-cooling manifolds and the NVLink spine
This isn't optional — it's the inevitable result of physical limits.
Liquid Cooling Isn't the Hard Part — Blind-Mating Is
In NVL72, liquid cooling is a given; the real difficulty is making it serviceable and manufacturable.
More than 40 quick disconnects (QDs) per rack
About 40 lb of insertion force per QD
About 6,500 lb of cumulative insertion force across the rack
This means:
The manifold will bend
The rack structure bears enormous internal forces
With poor design, mating and unmating can't be completed reliably
Why the Manifold Must Be Anchored at the Center
NVIDIA very deliberately chose a center-anchored manifold design.
Stainless steel expands by millimeters between 25°C and 75°C
Thermal displacement over a 2.1-meter manifold can't be ignored
Anchoring at one end would cause QD misalignment or jamming
Center anchoring splits the thermal-expansion displacement in half, ensuring long-term reliability.
The Floating NVLink Spine Is Built for Volume Production, Not for Show
The NVLink spine's floating connectors aren't there for easy insertion — they're there to absorb manufacturing tolerances.
±3 mm of float in X/Y
About 4 mm of float in the insertion direction
Automatically absorbs tolerance stack-up
This is a classic production-oriented design rather than a lab-oriented one.
6,500 lb Isn't a Metaphor — It's a Real Structural Load
When all QDs and NVLink connectors are mated at once:
The middle of the rack bears a sustained internal force of about 6,500 lb
Equivalent to parking an SUV in the middle of the rack
A standard commercial rack would simply bend and fail
So NVIDIA:
Added about 80 lb of steel reinforcement
Designed front-to-back structural supports
Ensured deflection stays below 0.1 mm at full load
Why Moving to 19-Inch EIA Matters for Both Cooling and Cabling
19-inch EIA isn't just about compatibility.
Narrower trays free up more front cabling space
Room for thicker high-speed copper cables
Keeps cables from blocking tray extraction
This is crucial for both high-speed NVLink copper and service access.
Modular Design of Compute Trays and Switch Trays
In tray design, the MGX modular philosophy is fully realized.
Compute tray: 2 CPUs + 4 GPUs
Switch tray: reuses the same mechanics and interfaces
Front IO area can be customized for management, NICs and SSDs
The rear is highly standardized:
Same UQDs
Same power interfaces
Same structure and handles
Why Air Cooling Is Still Needed
Even in a heavily liquid-cooled system, air cooling remains indispensable.
Cable cartridges present very high airflow impedance
Some components still rely on air cooling
NVIDIA perforated the trays, rails and brackets throughout
This creates lateral airflow channels, which:
Lower fan power
Reduce noise
Improve overall cooling efficiency
A Major Shift in GB300: Fully Liquid-Cooled Switches
In GB300, NVIDIA goes further and fully liquid-cools the NVLink switches.
Removes switch-tray fans
Moves more of the power into the liquid-cooling loop
Lowers the heat load inside the rack
This is an important step from GB200 toward higher power density.
NVLink Fusion Extends This Architecture Rather Than Starting Over
Finally, NVIDIA discussed NVLink Fusion.
Lets non-NVIDIA accelerators plug into MGX too
Turns NVL72 from a "product" into a "platform"
Makes MGX an open scale-up infrastructure
Simple Tech and Trend's Take
This case study makes it clear that an AI rack is no longer IT equipment — it's heavy-industry-grade systems engineering.
The challenge isn't compute; it's structure, heat, mating and volume production
Success or failure hides in millimeters, newtons and watts
NVL72 is a system that was "forced to take this shape"
The real innovation of GB200 / GB300 isn't the GPU — it's how it gets safely and reliably installed in data centers around the world.

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