Blackwell Ultra
NVIDIA HGX B300
- GPU configuration
- 8x NVIDIA B300 GPUs
- GPU memory
- 288 GB HBM3e per GPU (2.3 TB total)
Dubai · AI infrastructure & GPU systems
Sustainablemindz.ai
The right compute.
The complete infrastructure.
NVIDIA GPU servers, complete AI infrastructure and cloud environments. Specified for your workload. Delivered with a clear plan.
UAE · GCC · India · UK · Europe / Illustrative infrastructure imagery
250+GPU servers delivered
From one server to rack-scale
Compute, networking and storage
Procurement to deployment
One clearly defined project scope
Brands we supply
Our capabilities
One connected infrastructure offering.
Start with the capability you need. Bring procurement, architecture and deployment together as your project grows.
0102030405
AI Infrastructure
We plan and deliver the full stack for AI workloads, from GPU compute and networking to the software layer.
GPU Servers and Procurement
We help you specify, source and buy NVIDIA GPU servers from the leading OEMs, with clear lead times.
Cloud Setup and Migration
Private, hybrid or public: we design and set up the cloud environment for your AI workloads.
Consulting
Capacity planning, vendor selection and data centre readiness from people who have deployed GPU hardware.
Software Development
We build AI applications, internal platforms and integrations on top of your compute.
Planning a new environment?
Discuss your projectGPU systems
Choose your compute foundation.
Blackwell
NVIDIA HGX B200
- GPU configuration
- 8x NVIDIA B200 GPUs
- GPU memory
- 180 GB HBM3e per GPU (1.4 TB total)
Hopper
NVIDIA HGX H200
- GPU configuration
- 8x NVIDIA H200 GPUs
- GPU memory
- 141 GB HBM3e per GPU (1.1 TB total)
Hopper
NVIDIA HGX H100
- GPU configuration
- 8x NVIDIA H100 SXM GPUs
- GPU memory
- 80 GB HBM3 per GPU (640 GB total)
Why Sustainablemindz
Engineered around your requirements.
Workload-first engineering
Compute, memory, fabric and storage selected around the models you actually run.
Clear commercial decisions
Compare configurations, availability and delivery responsibilities before committing.
A complete deployment plan
Power, cooling, software and handover considered alongside the hardware.
Capacity with purpose
Right-size your investment and compare owned, cloud and hybrid options.
A clear delivery path
From requirement to running system.
- 01
Discover
Define your workload, model sizes, delivery location and operating constraints.
- 02
Specify
Compare GPU systems and design the supporting network, storage and site requirements.
- 03
Quote
Review availability, delivery responsibilities and payment milestones before ordering.
- 04
Deliver
Coordinate order progress, shipping documentation and the agreed handover location.
- 05
Deploy and support
Where included in scope, install, configure and validate the environment with your team.
Built for demanding workloads
- AI and model development
- Research and universities
- Enterprise technology
- Telecom
- Public sector
- System integrators
Build your next AI environment.
Share your workload, location and timeline. Start with a configuration quote or an engineering conversation.