Get Early Access to
NVIDIA HGX B300
GPU Cloud Today
Power large-scale AI inference with Blackwell Ultra-powered GPU Compute at exclusive pricing
Get Early Access to
NVIDIA HGX B300
GPU Cloud Today
Power large-scale AI inference with Blackwell Ultra-powered GPU Compute at exclusive pricing
Scale AI Workloads with GPU Virtual Machine
Deploy high-performance NVIDIA HGX H100 & HGX H200 GPUs with full control and seamless scaling
Accelerating the Age of AI Reasoning
Built on the groundbreaking Blackwell Ultra architecture with enhanced compute and increased memory,
NVIDIA HGX B300 delivers breakthrough performance on the most complex workloads,
from large-scale model training to high-efficiency token generation in production inference.
Key Features
Large GPU Memory
8× Blackwell Ultra GPUs with 2.1 TB total memory and 64 TB/s bandwidth
High-Speed NVLink Interconnect
5th Gen NVLink™ with 1.8 TB/s GPU bandwidth
High-Speed Data Processing
Blackwell Decompression Engine enabling up to 800 GB/s query throughput
66% Lower Inference Costs
Running DeepSeek-R1 on B300 is significantly cheaper than on legacy H100/H200 clusters.
49% Reduction in Training Cost
High VRAM enables larger batch sizes, reducing model fine-tuning time from 46 to 16 hours.
Up to 2.95x Cost/Token Optimization
Delivers the lowest price per million tokens for complex reasoning and video generation workloads.
Secure Your Access to Next-Gen AI Compute
Contact us to pre-order NVIDIA HGX B300 GPU Cloud or join the waitlist for early access.
GPU VM
Specification
Price
1x
GPU B300
288GB GPU Memory
32 cores CPU | 192 GB RAM | 100 GB Block Storage
6th Gen Intel Xeon Scalable Processors
Starting at $4.6/Hour
2x
GPU B300
576GB GPU Memory
64 cores CPU | 384 GB RAM | 200 GB Block Storage
6th Gen Intel Xeon Scalable Processors
Starting at $4.6/Hour
4x
GPU B300
1152 GB GPU Memory
128 cores CPU | 768 GB RAM | 400 GB Block Storage
6th Gen Intel Xeon Scalable Processors
Starting at $4.6/Hour
8x
GPU B300
2.2 TB GPU Memory
256 cores CPU | 1536 GB RAM | 800 GB Block Storage
6th Gen Intel Xeon Scalable Processors
Starting at $4.6/Hour
Supercharge Generative AI & HPC
Harness the power of NVIDIA H200 and HGX H100 GPUs on your own dedicated GPU stack with complete control over compute, network, and storage. Reserve capacity or scale on demand anytime.
NVIDIA HGX H100 and HGX H200 built for large-scale AI training & intensive workloads
Local NVMe SSD Storage with ultra-low latency & high IOPS for fast data access
Dedicated resources for every VM with full networking control & simplified management
Flexible scaling with on-demand provisioning and optional reserved capacity
Pay as You go
Scale your projects cost-effectively with transparent pricing.
Flexible services from 1x to 8x GPU, depending on workload requirements.
GPU VM
Specification
Price
1x
GPU H100 SXM5
80GB of HBM3 memory
192GB RAM | 16 cores CPU | 3TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
2.54 $/Hour
2x
GPU H100 SXM5
80GB of HBM3 memory
384GB RAM | 32 cores CPU | 6TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
5.08 $/Hour
4x
GPU H100 SXM5
80GB of HBM3 memory
768GB RAM | 64 cores CPU | 12TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
10.16 $/Hour
8x
GPU H100 SXM5
80GB of HBM3 memory
1536GB RAM | 128 cores CPU | 24TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
20.32 $/Hour
Reserved GPU capacity available at scale. Contact us for more information.
Why Choose GPU Virtual Machine?
Deploy, train, and scale AI models efficiently with no setup and no delays
Full root access for complete control over CUDA, drivers, and system libraries.
Rapid GPU virtual machine provisioning for training and inference in minutes
Usage-based pricing with enterprise-grade performance and cost efficiency at scale
High-performance compute with fast local storage for consistent workloads
Use Cases
Designed for High-Performance and AI-Driven Workloads
LLM Training & Fine-Tuning
Train and fine-tune large language models using multi-GPU H100/H200 clusters with support for custom libraries
AI Inference at Scale
Low-latency inference for chatbots, recommendation systems, and real-time AI services
High-Performance Computing Workloads
Scientific simulation, financial modeling, and data analytics