Next-Generation Blackwell Architecture for AI Training & Inference
Secure access to NVIDIA's latest B300 Blackwell GPUs with 192GB HBM3e memory. Perfect for large language models, AI training, and high-performance inference workloads.
Up to 30x faster AI training compared to previous generation GPUs. Blackwell architecture delivers breakthrough performance for LLM training and fine-tuning.
192GB of HBM3e memory enables training of the largest models without compromising on batch size or model parameters.
8TB/s memory bandwidth eliminates bottlenecks for memory-intensive AI workloads and accelerates data processing.
Drop-in replacement for existing workflows. Compatible with PyTorch, TensorFlow, JAX, and all major AI frameworks.
| Specification | NVIDIA B300 | H200 (Previous Gen) |
|---|---|---|
| Architecture | Blackwell | Hopper |
| GPU Memory | 192GB HBM3e | 141GB HBM3e |
| Memory Bandwidth | 8TB/s | 4.8TB/s |
| FP8 Performance | Up to 30x faster | Baseline |
| Interconnect | NVLink 72 GB/s | NVLink 50 GB/s |
Train frontier models with billions of parameters. B300's massive memory capacity handles the largest transformer architectures without model parallelism compromises.
Fine-tune foundation models on your proprietary data with blazing speed. Reduce training time from weeks to days.
Serve AI models at scale with ultra-low latency. B300's architecture is optimized for both training and production inference.
Accelerate AI research with cutting-edge hardware. Experiment with novel architectures and training techniques faster than ever.
Secure your B300 GPU capacity before general availability. Skip the waitlist and get priority access.
Automatically receive spot instance credits for reserved capacity you don't use. No waste, maximum flexibility.
Deploy workloads instantly with vrun. No container builds, no manifest files, no cluster management.
Focus on your AI workloads, not infrastructure. Velda handles provisioning, scaling, and optimization automatically.
Premium support included with all reservations. Get help from GPU and AI infrastructure experts.
Transparent pricing with no hidden fees. Only pay for compute when your workload is running.
B300 GPUs are available for pre-order now. Contact our team to secure your allocation and get estimated delivery timelines based on your requirements.
B300 offers significant improvements: 36% more memory than H200 (192GB vs 141GB), 67% higher memory bandwidth (8TB/s vs 4.8TB/s), and up to 30x faster AI training performance for certain workloads.
Yes! B300 is designed as a drop-in replacement. Your existing PyTorch, TensorFlow, or JAX code will work without modifications, while gaining significant performance improvements.
All reservations include GPU compute, CPU, memory, ephemeral storage, networking, and premium support. No hidden fees or surprise charges.
Reservations are flexible. You can adjust your committed capacity at renewal time, or contact us for mid-term adjustments for significant changes in requirements.
We accommodate all scales from single GPU reservations to multi-cluster deployments with thousands of GPUs. Tell us your requirements and we'll craft a solution.
Join leading AI companies securing next-generation GPU infrastructure. Reserve your B300 capacity today.