NVIDIA DGX B300
Eight Blackwell Ultra GPUs, for training and real-time inference.

- GPUs
- 8x Blackwell Ultra
- GPU memory
- 2.1 TB
- Networking
- 800 Gb/s
Price confirmed on your quote
ConfigureAI servers in South Africa
Configure a system, see an indicative price in rand, and we help you source and deploy it.

Integrated NVIDIA systems for large AI workloads.
Eight Blackwell Ultra GPUs, for training and real-time inference.

Price confirmed on your quote
ConfigureEight Blackwell GPUs, for training, fine-tuning and inference.

Price confirmed on your quote
ConfigureConfigure the CPU, memory, storage and GPUs to suit your models.
Up to eight dual-slot GPUs in a 4U ASUS chassis, for enterprise AI and HPC.

Price confirmed on your quote
ConfigureUp to four dual-slot GPUs in a 2U ASUS chassis, for AI and HPC workloads.

Price confirmed on your quote
ConfigureOne GPU in a 2U ASUS rack server, with twelve front drive bays.

Price confirmed on your quote
ConfigurePricing is confirmed on your quote.
GPU capacity when owning hardware isn’t the right fit.
Run your models on GPU capacity without owning or housing a server. Availability and pricing are confirmed when we talk.
ASUS ESC8000A-E13P
Five parts decide what this system can run. Here is what each one brings.
Two AMD EPYC processors, with 16 to 96 cores each.
Up to 8 cards, with 24 GB to 141 GB of memory on each.
Switch details are confirmed when we talk. GPU slots: 8x PCIe x16 (Gen5 x16 link, FH/FL) for dual-slot GPUs.
384 GB to 1,536 GB of DDR5, across 24 modules.
NVMe SSD options from 3.84 TB to 15.36 TB.


NVIDIA L40S

NVIDIA H200 NVL
Pick a workload and compare the GPUs that suit it.
A server only earns its keep once something useful runs on it. We work on every layer with you.
We build the agents, automation and integrations that connect a server to your business.
See AI integrationWe can host open-weight models from our catalogue on your hardware, so you keep control of your data and how they run.
Browse modelsWe help you source the system that fits your workloads, and deploy it on your site.
Compare systemsWe help you source and deploy systems for South African sites. The route and the delivery cost depend on the system and where it is going, so we confirm this when we talk.
Lead times vary by system and configuration, and we would rather not print one here that may not hold. We confirm this when we talk.
NVIDIA's datasheets list a three-year support tier for the DGX B200 and DGX B300. Warranty on the GPU servers, and how local support works for your system, we confirm this when we talk.
Yes. On a GPU server you choose the GPUs, processor, memory and storage, and on a DGX system the support term and NVIDIA AI Enterprise. If you need something that isn't listed, tell us, and we confirm this when we talk. Some GPU and chassis pairings are marked "Compatibility confirmed on your quote", which means we check them before you commit.
We don't publish any. If you are a university, school or start-up, say so on the form. Whether special pricing applies, we confirm this when we talk.
The configurator gives you an instant indicative price for the build you pick, excl. and incl. VAT. A quote is where we confirm the final price, compatibility and terms for that build. Configuring a system doesn't commit you to anything.
Tell us who needs to learn what: running the system, deploying models, or building on them. What we can offer your team, we confirm this when we talk.
A DGX B300 draws up to 15.1 kW in 10 rack units, according to NVIDIA's datasheet, so power, cooling and rack space need planning early. We can talk through your site and the network around the system. How far the design work goes on your project, we confirm this when we talk.
Yes, GPU as a Service is the option to ask about if you would rather not own or house a server. Availability, location and pricing, we confirm this when we talk.
These systems are imported, so their cost moves with the exchange rate, freight and clearing. We show indicative prices in rand, excl. and incl. 15% VAT, so you can plan with them. Your final price is confirmed on your quote.
Running models on your own hardware, on your own site, means you decide where your data sits and who can reach it. That helps, but it doesn't make you POPIA compliant by itself, and we don't give legal advice. For the cloud option, where data is held, we confirm this when we talk.
Deployment is part of what we help with, and we can set up open-weight models and the software that runs on them. Who handles the physical installation, and what it costs, we confirm this when we talk.
Tell us what you want to run. We can work through models, memory and your site with you.
We help you source and deploy, and can talk through which system suits your workloads and your site.
Enquiry
Six questions. Our team follows up, or you can pick a time.
Would rather just email? support@webparam.org