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Eight GPUs, 8TB RAM and 24 NVMe in 4U? TFNEW ZH-4201-8

TFNEW launched the ZH-4201-8, a 4U 8-GPU flagship server with 2x 4th/5th Gen Xeon (385W), 32 DDR5 slots up to 8TB, 24 U.2 NVMe bays, 8 dual-width GPU slots + 4 PCIe 5.0 slots and counter-rotating fans.

Eight GPUs, 8TB RAM and 24 NVMe in 4U? TFNEW ZH-4201-8

Eight GPUs, 8TB RAM and 24 NVMe in 4U? TFNEW ZH-4201-8

TL;DR: TFNEW launched the ZH-4201-8, a 4U 8-GPU flagship compute server, on September 21, 2026. It pairs 2x 4th/5th Gen Intel Xeon (385 W TDP) with 32 DDR5 slots (up to 8 TB), 24 U.2 NVMe bays, eight dual-width GPU slots plus four more full-height PCIe 5.0 slots — the all-resources-scaled node for large-model training and scientific computing where memory and local data must not bottleneck GPUs. Get specs and pricing: sales@tfnew.com.

Core Specifications (with Plain-Language Terms)

The ZH-4201-8 is a 4U rackmount compute server (176.5 mm tall, 800 mm deep) designed so that every resource scales at once — the condition large-model training actually needs. Compute is 2x 4th/5th Gen Intel Xeon Scalable at 385 W TDP on an Intel C741 chipset. Memory is the flagship number: 32 DDR5 RDIMM slots at 5600 MT/s, up to 8 TB — enough to hold large model weights and activations resident, ending the checkpoint-and-reload churn of smaller nodes. GPU expansion: 8 dual-width full-height full-length PCIe 5.0 slots plus 4 additional full-height full-length PCIe 5.0 slots. Storage: 24x U.2 NVMe SSD/SAS/SATA bays — local dataset and checkpoint capacity beside the GPUs. Cooling is 8 hot-swap counter-rotating fans (counter-rotation pulls air without the turbulance losses of single-direction blowers). Power is 4x CRPS in 2+2 or 3+1 redundancy, 2000 W / 3000 W options. Networking: 1x 1Gbps dedicated management port plus 2x 1GbE with NCSI.

Specs at a Glance

Item ZH-4201-8 Value
Form factor 4U rackmount, 176.5 H × 437.5 W × 800 D mm
Processor 2x 4th/5th Gen Intel Xeon Scalable, 385 W TDP, Intel C741
Memory 32x DDR5 5600 MT/s RDIMM, up to 8 TB
GPU 8x dual-width FHFL PCIe 5.0 + 4x FHFL PCIe 5.0 slots
Storage 24x U.2 NVMe SSD / SAS / SATA
Cooling 8x hot-swap counter-rotating fans
Power 4x CRPS, 2+2 or 3+1, 2000 W / 3000 W
Network 1x 1Gb management + 2x 1GbE business (NCSI)

Why Balanced Maxima Matter for Training

A GPU server with eight accelerators and a 1 TB small-memory ceiling spends most of its day moving weights in and out. The ZH-4201-8 is built on the opposite assumption: 8 TB of DDR5 keeps models resident; 24 NVMe keeps datasets and checkpoints local; eight dual-width GPUs keep the compute dense; four extra PCIe 5.0 slots keep NICs and controllers from cannibalizing GPU lanes. When all four scale together, a training job's bottleneck stops being the node. That is the difference between "8 GPUs on a spec sheet" and "8 GPUs that stay fed."

Where It Fits

  • Large-model training: 8 TB resident weights + 24 NVMe local datasets
  • Scientific computing: 4U resource density for memory-heavy solvers
  • Foundation-model fine-tuning: full-scale memory beside accelerator density
  • HPC + AI convergence: 12 PCIe 5.0 slots for diverse accelerators and NICs

Why the Numbers Matter

  • 8 TB DDR5 (32x 5600 MT/s): resident model capacity at node scale
  • 8 dual-width + 4 FHFL PCIe 5.0: 12 expansion paths, GPUs never starved
  • 24x U.2 NVMe: dataset and checkpoint storage beside the accelerators
  • 8 counter-rotating fans: efficient airflow at a 2+2/3+1 power budget
  • 3000 W CRPS options: feeding 8 TB of RAM and eight dual-width cards

What TF NEW Says

"A flagship node isn't flagship because of one big number — it's because the numbers stop being the bottleneck together," said a TF NEW product manager. "The ZH-4201-8 scales all four: 8 TB of DDR5, 24 NVMe, eight dual-width GPU slots, and twelve PCIe 5.0 paths. For large-model training, that's a node where the work, the weights and the data all fit."

Quality and Availability

Every ZH-4201-8 runs 48 hours of burn-in testing under full GPU load before shipping, with all 24 NVMe/backplane paths, 8-TB memory maps and counter-rotating fan profiles validated in the factory. It ships deployment-ready with IPMI/Redfish baselines.

Pricing and Availability

The ZH-4201-8 is available now. Pricing varies with processor, memory, GPU and storage configuration. Contact sales@tfnew.com or use the request-a-quote form at www.tfnew.com/contact for configuration guidance and lead time.

About TF NEW

TF NEW (TF New Technology) is an enterprise AI infrastructure provider based at www.tfnew.com. It designs and delivers private AI, compute, networking, storage, cooling and edge systems as deployment-ready solutions — AI servers, AI workstations, edge AI, liquid cooling and enterprise rack servers — for AI factories, datacenters and edge projects worldwide.

Media Contact

TF NEW | sales@tfnew.com | www.tfnew.com/contact

FAQ

  1. What is the ZH-4201-8? A 4U 8-GPU flagship compute server with 2x 4th/5th Gen Xeon, 32 DDR5 slots (up to 8 TB) and 24 NVMe bays.
  2. How much memory can it take? Up to 8 TB of DDR5 RDIMM at 5600 MT/s across 32 slots.
  3. How many GPUs can it hold? Eight dual-width full-height full-length GPUs, plus four more full-height PCIe 5.0 slots.
  4. What storage does it offer? 24x U.2 NVMe SSD / SAS / SATA bays.
  5. What power does it use? 4x CRPS in 2+2 or 3+1 redundancy, 2000 W or 3000 W options.