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NVIDIA H200 · 141GB HBM3e · For AI training

NVIDIA H200 8-GPU servers for AI training, in Egypt & the UAE.

Eight NVIDIA H200 NVL GPUs linked by NVLink bridges, with 1,128GB of HBM3e, two 192-core AMD EPYC 9965 processors and 3TB of memory in one rack server: the system for training and fine-tuning large models on your own data, in your own data centre.

NVIDIA H200 · 141GB

1,128GB of GPU memory

8 × H200 NVL with 141GB of HBM3e each, and 4.8 TB/s per GPU.

384 AMD EPYC cores, 3TB RAM

2 × AMD EPYC 9965 with 24 × 128GB DDR5-6400 memory.

1.6 Tb/s of networking

Four dual-port 200GbE QSFP56 network cards.

24-month NBD server warranty

Plus a 12-month replacement warranty on the GPUs, with burn-in testing and support from our engineers.

What it’s for

Built for the heaviest AI work.

When models are large, data is sensitive and training never stops, the H200 keeps everything on your own hardware.

Training and fine-tuning LLMs

Train and fully fine-tune large language models, including Arabic models, on your own data.

Very large models at full precision

Run the largest open models at 16-bit precision, with long contexts.

Pharma and life sciences

Protein structure prediction, molecular simulation and drug-discovery models.

Oil and gas

Seismic interpretation and reservoir models, kept on-premise.

Banks, telecoms and government

Private AI on data that cannot leave your network or the country.

Research and HPC

Scientific computing with 60 TFLOPS of FP64 Tensor Core performance per GPU.

Why the H200

More memory. More bandwidth. Fewer compromises.

141GB of HBM3e per GPU

Fit larger models and bigger batches on every GPU, with fewer workarounds.

4.8 TB/s memory bandwidth

Keeps the Tensor Cores fed for faster training and faster token generation.

3,341 TFLOPS of FP8

Per GPU, with sparsity, from Hopper Tensor Cores and the Transformer Engine.

Up to 7 MIG instances

Split each GPU into up to seven isolated 16.5GB instances for teams and smaller jobs.

NVLink bridges included

The GPUs are linked with NVLink bridges at 900GB/s per GPU, for models split across several GPUs.

Genuine NVIDIA part

Genuine NVIDIA H200 NVL 141GB boards, NVIDIA part number 900-21010-0040-000.

Specifications

NVIDIA H200 8-GPU server specifications.

The standard configuration of our NVIDIA H200 8-GPU server, with NVIDIA’s published GPU specifications. We can adjust processors, memory, storage and networking to your workload.

Server: NVIDIA H200 NVL 8-GPU Server

GPUs8 × NVIDIA H200 NVL 141GB (PN 900-21010-0040-000), PCIe 5.0, with NVLink bridges
Total GPU memory1,128GB HBM3e
Processors2 × AMD EPYC 9965: 192 cores / 384 threads each, 2.25GHz, 384MB cache
Total CPU cores384 cores / 768 threads
System memory3TB: 24 × 128GB DDR5-6400 load-reduced ECC (LRDIMM)
RAIDHardware RAID controller
Boot drives2 × 960GB SATA SSD, read-intensive (RAID 1)
Data drives4 × 7.68TB U.2 NVMe PCIe 4.0, read-intensive (RAID 5, about 23TB usable)
Networking4 × dual-port 200GbE QSFP56 PCIe low-profile NICs (8 × 200GbE)
Power4 × 3,200W Platinum power supplies
Warranty24-month Mega Build Up next-business-day (NBD) warranty on the server; 12-month replacement warranty on the GPUs

Configurations can be adjusted to your workload. The final specification is confirmed on your quote.

GPU (per card): NVIDIA H200 NVL

NVIDIA part number900-21010-0040-000
ArchitectureNVIDIA Hopper
GPU memory141GB HBM3e
Memory bandwidth4.8 TB/s
FP64 / FP64 Tensor Core30 / 60 TFLOPS
FP3260 TFLOPS
TF32 Tensor Core835 TFLOPS*
BF16 / FP16 Tensor Core1,671 TFLOPS*
FP8 Tensor Core3,341 TFLOPS*
INT8 Tensor Core3,341 TOPS*
Multi-Instance GPUUp to 7 MIGs @ 16.5GB
InterconnectNVLink bridges included (2- or 4-way, 900GB/s per GPU); PCIe Gen5, 128GB/s
Decoders7 NVDEC, 7 JPEG
Max powerUp to 600W (configurable)
Form factorPCIe, dual-slot, air-cooled
Confidential computingSupported

* With sparsity. NVIDIA lists these specifications as preliminary and subject to change.

How we deliver

From first call to a running system.

01

Consult & size

We review your models, users and data, and recommend the right configuration.

02

Source factory-new

New systems with genuine NVIDIA GPUs and parts.

03

Configure & burn-in

Built, updated and stress-tested before it leaves us.

04

Deliver & install

Delivery, racking, cabling and power-on by our engineers.

05

Support for life

Warranty, upgrades and expansion as your AI grows.

Compare our AI systems

From your desk to a full AI cluster.

For development

NVIDIA DGX Spark
128GB unified memory

On your desk · models of up to 200B parameters

For inference

RTX PRO 6000 Blackwell 8-GPU Server
768GB GPU memory

8 × 96GB GDDR7 · AI video, rendering and simulation

For training

NVIDIA H200 8-GPU Server
1,128GB GPU memory

8 × 141GB HBM3e · NVLink

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FAQs

NVIDIA H200 server questions.

Can’t find your answer? Ask our engineers.

The H200 has 141GB of HBM3e per GPU, 4.8 TB/s of memory bandwidth and NVLink bridges, and is built for training and very large models. The RTX PRO 6000 Blackwell has 96GB of GDDR7 per GPU and is built for inference, AI video, rendering and simulation at a lower cost per GPU. See the RTX PRO 6000 8-GPU server.

Each H200 NVL can draw up to 600W, so eight GPUs can draw up to 4.8kW before the rest of the server, which runs on four 3,200W Platinum power supplies. Plan for dedicated circuits, two power feeds and cooling sized for the load. Our engineers confirm the exact figures for your configuration.

Yes. The H200 runs the standard AI frameworks, so you can train or fine-tune Arabic and multilingual models on your own data, with enough memory for large models.

Yes. Multi-Instance GPU (MIG) splits each H200 into up to seven isolated instances of 16.5GB, so several teams or jobs can share one server safely.

Yes. We deliver, rack, cable and power on the server at your office, data centre or colocation facility in Egypt or the UAE.

The server comes with a 24-month Mega Build Up next-business-day (NBD) warranty, and the GPUs with a 12-month replacement warranty. Our own engineers handle diagnosis and on-site support. See our warranty services.

Answer three quick questions in the form on this page. An engineer replies within 24 working hours with a recommended configuration and price.

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Configure your H200 server.

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    Talk to an AI infrastructure engineer.

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