Tyan B7119F77V4HR-2T-N 10-GPU Machine Learning Server Platform

The Tyan B7119F77V4HR-2T-N is a THUNDER HX FA77-B7119 server platform built to hold 10 GPUs in a single chassis — the kind of density that matters when you're standing up a dedicated training cluster rather than bolting accelerators onto a general-purpose box. At 96 lb and 43 x 25 x 17 in (L x W x H), this is a rack-class chassis designed to carry serious compute and the power delivery that comes with it, not a repurposed workstation. If you're scoping GPU-dense infrastructure for model training, inference at scale, or research compute, the B7119F77V4HR-2T-N (often searched as B7119F77V4HR 2T N) is worth evaluating against your rack depth and power budget before anything else on the shortlist.

Overview

This platform exists to solve one problem: getting as many GPUs as possible into a chassis you can still service, cool, and power from a standard data center rack. The THUNDER HX FA77-B7119 architecture underneath the B7119F77V4HR-2T-N is Tyan's answer to the density problem that shows up the moment a team moves past a handful of GPUs and needs a platform purpose-built for accelerator-heavy workloads.

Key Features

• 10-GPU capacity: Ten-accelerator support in one chassis means fewer nodes to network, power, and manage compared to spreading the same GPU count across multiple lower-density servers — fewer points of failure and less cabling overhead in the rack.
• 43 x 25 x 17 in chassis footprint: Confirm rack depth before ordering — a 43-inch depth exceeds many standard 42U cabinets, so this belongs in a deep-rack or open-frame data center deployment, not a shallow network closet.
• 96 lb platform weight: Before GPUs, drives, and cabling are installed, factor this into rack rail load ratings and lift planning — fully populated with 10 GPUs, actual installed weight will run considerably higher.

Integration & Compatibility

As a bare server platform, the B7119F77V4HR-2T-N is built to be configured around your specific GPU selection, storage layout, and networking requirements rather than shipped as a fixed appliance. That flexibility is the point for machine learning teams who need to match accelerator choice (and driver stack) to their training framework, but it also means planning power distribution and cooling capacity around the specific GPUs you intend to install — a 10-GPU chassis at full population draws substantially more power than a standard dual-socket server, and your PDU and rack cooling plan should account for that before hardware arrives.

What's in the Box

Contact your sales engineer for the exact configuration and included components for this platform, as build-outs vary by GPU and storage selection.

Frequently Asked Questions

Q: How many GPUs does the B7119F77V4HR-2T-N support?

A: The Tyan B7119F77V4HR-2T-N THUNDER HX FA77-B7119 platform is built to support up to 10 GPUs in a single chassis.

Q: What are the physical dimensions of the B7119F77V4HR-2T-N?

A: The chassis measures 43.00 x 25.00 x 17.00 inches (L x W x H) and weighs 96 lb as a bare platform.

Q: Is the B7119F77V4HR-2T-N suitable for a standard 42U rack?

A: At 43 inches deep, confirm your rack's usable depth before ordering — this chassis is built for deep-rack or open-frame data center environments.

Q: What is the B7119F77V4HR-2T-N used for?

A: It's a server platform designed for machine learning workloads, specifically GPU-dense training and inference deployments.

Karl Wilson

The 10-GPU capacity on the Tyan B7119F77V4HR-2T-N is what gets my attention first — that's a real training-cluster spec, not a marketing number. Combined with the 43 x 25 x 17 in chassis, this THUNDER HX FA77-B7119 platform is built for teams standing up dedicated ML infrastructure, not adding a card or two to an existing box.

Technical Highlights:

• 10-GPU chassis density: consolidating 10 accelerators into one platform cuts the node count (and the networking/power overhead that comes with each additional node) versus spreading the same GPU total across several lower-density servers.
• 43-inch chassis depth: deeper than a lot of standard 42U enclosures — measure your rack before this ships, since a shallow cabinet won't close around it.
• 96 lb bare weight: that's before GPUs, drives, or cabling — check rail load ratings against the fully-populated weight, which will be significantly higher once 10 GPUs are installed.

Deployment Considerations:

• Plan PDU capacity and rack cooling around your specific GPU selection before the platform arrives — a fully populated 10-GPU chassis pulls well beyond what a standard dual-socket server draws.
• This ships as a bare platform, so GPU model, storage, and networking are configuration decisions you make with your sales engineer, not fixed choices baked into the SKU.

The B7119F77V4HR-2T-N fits a data center team building a dedicated GPU training cluster for large model workloads — it's the wrong pick if you need a general-purpose rack server that happens to hold a GPU or two.