Ultimate Blackwell Ultra Performance for AI and High Performance Computing
Experience next generation accelerated computing in Europe with the NVIDIA B300 built for large scale AI, scientific computing, and advanced simulation workloads.
Delivering high density AI performance in a single node, it supports large scale AI model training and high throughput inference with exceptional efficiency.
Power next generation AI applications, from large language models to autonomous agents. With FP4 precision and massive GPU memory, the B300 enables efficient reasoning, fine tuning, and real-time decision making.
Massive Inference Throughput
Get faster responses from your large language models. The B300 processes massive amounts of data directly in memory for real time performance.
Scale with NVSwitch and High Bandwidth Memory
Run large models and datasets without bottlenecks. With high bandwidth HBM memory and NVSwitch interconnect, B300 enables fast GPU to GPU communication and efficient scaling across nodes.
GPU B300 based on NVIDIA Blackwell Ultra Architecture
Our NVIDIA B300 GPU is powered by the Blackwell Ultra architecture, delivering unmatched performance for AI inference at scale, large model training, scientific simulation, and high performance computing workloads.
With FP4 precision, exceptionally large high bandwidth GPU memory, and multi GPU scalability, it is designed for the most demanding accelerated compute environments.
This GPU is ideal for hyperscale AI, LLMs, inference, scientific research, and digital twin workloads, offering top tier performance and efficiency for enterprises building next generation AI platforms.
Use NVIDIA B300 to deploy and scale complex deep learning and inference workloads with outstanding throughput and efficiency.
Enterprises and AI teams can run demanding production inference pipelines, agent based systems, and advanced model serving environments faster, while handling larger workloads with greater confidence.
Training Large AI Models
Train and fine tune large language models and other advanced AI systems with a platform built for multi GPU and multi node scalability.
NVIDIA B300 is designed for high end AI development, helping research labs and enterprises accelerate experimentation, iteration, and time to results.
Scientific Simulation and Digital Twins
Run compute intensive simulations for physics, bioinformatics, genomics, and engineering, or power real-time digital twin environments and Omniverse workflows.
B300’s advanced architecture and high bandwidth memory make it a strong fit for research institutions and innovation driven industries with large scale data needs.
Why NVIDIA B300 GPU server on Exoscale
Shared or dedicated Hypervisors
Large SSD NVMe Storage
No resource sharing
Latest NVIDIA Blackwell Ultra technology
Cutting edge B300 GPUs for AI and HPC performance
Direct GPU pass through access
Complete cloud platform integration
Full Terraform automation support
Comprehensive API management support
Discover the best cost-to-performance ratio
Pricing for our NVIDIA B300 instances is available on request. Contact us for availability and pricing details.
Combine Exoscale’s simplicity with the power of NVIDIA B300 GPUs. With a Docker-based template, you can access the full potential of the NVIDIA GPU Cloud (NGC) and significantly reduce time to solution.
NVIDIA GPU Cloud (NGC) provides a selected set of GPU optimized software for artificial intelligence applications, visualizations, and HPC. The NGC Catalog includes containers, pre-trained models, Helm charts for Kubernetes deployments, and specific AI toolkits with SDKs.
Benefit from exceptionally large, high-bandwidth GPU memory built for large AI models, scientific datasets, and demanding simulation workloads.
No Resource Sharing
Each B300 GPU runs with dedicated pass through access, ensuring predictable performance for mission critical AI, research, and HPC workloads.
Blackwell Ultra Architecture
Built on NVIDIA’s Blackwell Ultra architecture, the B300 is designed to deliver top tier AI and compute performance for the most demanding accelerated environments.
Optimized for AI and HPC Workloads
Ideal for AI inference at scale, large model training, digital twins, scientific computing, and advanced analytics across enterprise and research use cases.
FP4 and Multi-Node Scalability
Take advantage of floating-point 4-bit precision and multi GPU, multi node scaling to accelerate large workloads and maximize performance efficiency.
Secure Data Storage in Europe
As a sovereign European Cloud Provider, Exoscale ensures all your data is stored in the country of your chosen zone, fully GDPR compliant.
Technical Specifications NVIDIA HGX B300
Description
Specifications
Graphic Card
NVIDIA B300 (HGX platform)
Architecture
NVIDIA Blackwell Ultra
Precision support
FP4 (NVFP4), FP8, FP16, BF16, TF32, FP32, INT8
GPU memory per card
288 GB HBM3e per GPU
Scalability
Up to 8 GPUs per node with NVSwitch
Primary workloads
AI inference at scale, LLM training, HPC, simulation
Choose from a Wide Selection of Officially Supported Templates
Trusted by engineers: Build, train, and scale with NVIDIA B300
When powering hyperscale AI, large model training, or scientific computing in the cloud, performance and reliability are essential. Our NVIDIA B300 GPU instances, built on Blackwell Ultra technology, help teams across Europe accelerate advanced workloads efficiently and securely on Exoscale’s sovereign cloud platform.
NVIDIA GeForce RTX 3080 Ti is excellent for deep-learning model training, image processing, NLP, and more. 100 % liquid cooled with heat-reuse technology.
Entry-level all-rounder leveraging NVIDIA RTX A5000. Fully liquid cooled with heat-reuse for sustainable accelerated computing. Great for AR/VR, simulations, rendering, and AI.
The NVIDIA B300 is built for AI inference at scale, large language model training, scientific computing, simulation, and high performance data processing. It is designed for organizations that need top tier accelerator performance for advanced enterprise and research workloads.
How does the B300 compare to the RTX Pro 6000?
Compared to GPU such as the RTX Pro 6000, the NVIDIA B300 is positioned for more demanding AI and HPC environments, with Blackwell Ultra architecture, FP4 precision, and significantly stronger scalability for large model and multi node workloads.
Can I combine B300 instances with other Exoscale services?
Built on NVIDIA’s Blackwell Ultra architecture, the B300 represents the next level of AI acceleration. With FP4 precision, exceptionally large and high bandwidth GPU memory, and support for multi GPU and multi node scalability, it is designed for hyperscale AI, advanced research, and the most demanding enterprise compute workloads.
