Tyan B7129F83AV8E4HR-N 4U 10-GPU Rackmount Server

The Tyan B7129F83AV8E4HR-N (THUNDER HX FT83A-B7129) is a 4U rackmount platform built for GPU-dense compute — AI training and inference clusters, video analytics processing, and render farms that need both serious accelerator capacity and real local storage. B7129F83AV8E4HR-N (often searched as B7129F83AV8E4HR N) supports up to 10 GPUs in a single 4U chassis, which is the number that matters most for anyone sizing a rack against power and cooling budgets rather than just counting PCIe slots.

Overview

This is a purpose-built GPU server chassis, not a repurposed storage box. At 27 x 17 x 7 inches and roughly 60 lbs bare, the 4U form factor gives you the internal volume needed to move air across 10 GPUs without resorting to exotic cooling, while still fitting standard four-post rack rails alongside your existing switch and NVR infrastructure.

Key Features

• 10-GPU capacity in 4U: lets you consolidate accelerator density per rack unit instead of spreading a cluster across multiple chassis — fewer nodes to manage, fewer network hops between GPUs feeding the same job.
• 12x 3.5" SATA drive bays: gives you high-capacity bulk storage on the same node as your compute, useful for staging large datasets or model checkpoints without round-tripping to a separate storage array.
• 4x NVMe U.2 bays: adds a low-latency tier alongside the SATA bays — put active datasets, scratch space, or checkpoint I/O on NVMe while SATA handles cold/bulk capacity, avoiding storage bottlenecking your GPU utilization.
• NVMe and SATA dual interface support: means you're not locked into one drive technology — mix and match based on which workloads actually need the IOPS.
• 4U rack form factor: standard rack depth and height for integration into existing data center or server room rack elevations without custom shelving.
• China country-of-origin manufacturing: relevant for procurement teams tracking origin for NDAA or agency-specific sourcing policy — confirm current compliance status for your specific contract requirements before specifying this SKU for government deployments.

Integration & Compatibility

The B7129F83AV8E4HR-N's mixed NVMe/SATA backplane gives integrators flexibility when designing storage tiers for GPU compute nodes — pair NVMe U.2 drives for hot data and SATA for bulk retention within the same chassis. For teams building out a broader compute or video analytics recording deployment, this platform slots in as the processing tier alongside PoE and aggregation switches feeding camera traffic into GPU-based analytics pipelines. Review general storage and retention planning guidance when sizing the SATA/NVMe mix against your dataset growth. Browse the full Tyan server catalog for related chassis configurations, or the broader rackmount server category if you need a different bay or GPU configuration.

Frequently Asked Questions

Q: How many GPUs does the B7129F83AV8E4HR-N support?

A: The B7129F83AV8E4HR-N THUNDER HX FT83A supports up to 10 GPUs in its 4U chassis.

Q: What drive bays does the B7129F83AV8E4HR-N have?

A: It provides 12x 3.5" SATA drive bays plus 4x NVMe U.2 bays for mixed bulk and low-latency storage.

Q: What rack space does the B7129F83AV8E4HR-N require?

A: It's a 4U rackmount chassis measuring 27 x 17 x 7 inches and weighing approximately 60 lbs.

Q: Where is the B7129F83AV8E4HR-N manufactured?

A: Country of origin is China (CN), per manufacturer data — confirm current compliance requirements for your specific procurement policy.

Ted Perry

The B7129F83AV8E4HR-N is one of the denser GPU chassis I spec for compute clusters — 10 GPUs in 4U is a real number, not a marketing ceiling, and it changes your rack math versus 8-GPU competitors.

Technical Highlights:

• 10-GPU support: fewer chassis needed to hit a given accelerator count, which cuts down on inter-node GPU communication overhead for distributed training jobs.
• 12x 3.5" SATA + 4x NVMe U.2: 16 total drive bays split across two tiers lets you keep bulk datasets on SATA and active I/O on NVMe without adding a separate storage node.
• 60 lb / 27x17x7in chassis: confirm rail depth and rack PDU capacity before install — GPU-dense 4U chassis draw considerably more power per rack unit than standard compute nodes.

Deployment Considerations:

• Plan power and cooling per rack around GPU thermal load, not just chassis count — a fully populated 10-GPU 4U unit concentrates heat that a standard rack CRAC may not be sized for.
• Verify current NDAA/procurement compliance status directly against your contract requirements before specifying this China-origin SKU for government or regulated deployments.

This is the platform I'd spec for an on-prem AI training or GPU-accelerated video analytics buildout where rack space is the constraint and you need maximum accelerator density per U, paired with mixed-tier local storage for dataset staging.