Gigabyte launches liquid-cooled AI server using Nvidia Blackwell chips

GIGABYTE announced the XN24-VC0-LA61 on January 26, 2026, a server built on the NVIDIA GB200 NVL4 accelerator platform. It pairs GB200 NVL4 GPUs with integrated direct liquid cooling to support sustained high-power operation and dense GPU deployments. The company published the details in a press release, listed the product on its website, and demonstrated the system at SCA/HPC Asia 2026 (GIGABYTE press release, product page, UDN coverage). The chassis and liquid-cooling integration target rack-ready thermal management for AI and HPC workloads. For data-center operators, the system signals ongoing vendor focus on liquid-cooled nodes optimized for GB200-class GPUs. Prospective buyers should request detailed thermal, rack-integration, and deployment specifications before procurement. Systems engineers must plan rack plumbing, coolant management, and maintenance procedures earlier in the acquisition cycle. GIGABYTE positions the XN24-VC0-LA61 as an option for higher-density inference and training racks.

Why It Matters

• Direct liquid cooling maintains sustained high utilization of GB200 NVL4 GPUs by removing heat more effectively than air cooling, reducing thermal throttling during long training or inference runs.
• Systems engineers should verify rack plumbing, coolant delivery, leak detection, and maintenance procedures during procurement to avoid integration delays and operational risk.
• Data-center planners can increase GPUs per rack but must quantify impacts on PUE and confirm chilled-water capacity, heat rejection limits, and facility readiness for liquid-cooled infrastructure.
• Request GIGABYTE thermal performance reports, rack-integration guides, and validated deployment examples to validate fit with existing operations and to model cooling and power requirements.