NVIDIA Blackwell B300 GPU
GPU Hardware & ComputeNVIDIA's most advanced AI accelerator, purpose-built for the scale demands of next-generation model training and inference.
Eleveight AI operates NVIDIA Blackwell B300 GPUs in NVIDIA HGX B300 systems, the first deployment of this GPU generation in Armenia and the South Caucasus, available now for dedicated and scalable reservations.
Overview
The Blackwell B300 is NVIDIA's latest GPU architecture, announced in 2025. It marks a shift in design philosophy from earlier, more general-purpose generations: rather than being a graphics or compute chip adapted for AI, the B300 was shaped from the outset with AI workloads as the governing constraint, prioritizing memory bandwidth, multi-GPU communication, and sustained throughput above all else.
How it works
It feeds its thousands of CUDA and Tensor cores using HBM3e, stacked high-bandwidth memory that supplies 288 GB per GPU at up to 8 TB/s, far faster than the conventional GDDR memory found in ordinary cards could manage. Within a HGX B300 system, multiple B300 GPUs are joined over NVLink, letting them pool memory and operate together as a single, much larger logical processor rather than as isolated chips.
Why it matters
The models being built today have already outgrown the previous generations, the A100 and H100, which now act as a ceiling on ambition rather than a comfortable home. The B300 lifts that ceiling, restoring headroom for larger models, longer context, and higher inference throughput, and being first to deploy it regionally is precisely what positions Eleveight AI at the frontier.
Use cases
- Training large language models from scratch
- Fine-tuning foundation models on domain-specific datasets
- High-throughput AI inference
- Multimodal model development
- Scientific simulation