Unleash GPU Power in the Cloud

Accelerate AI, machine learning, and complex computations with enterprise-grade NVIDIA GPU infrastructure

Why GPU-Accelerated Computing?

Revolutionize your computational capabilities

100x Faster Processing

Parallel computing for complex algorithms

AI/ML Optimized

Pre-configured frameworks (TensorFlow, PyTorch)

Cost Efficiency

Pay-per-use model vs. capital investment

Instant Scalability

Provision burst capacity in minutes

Enterprise Security

Isolated environments with encrypted pipelines

Enterprise-Grade GPU Infrastructure

Hardware designed for intensive computational tasks

GPU Specifications

  • GPU OptionsNVIDIA A100, H100, RTX 6000 Ada
  • vGPU Support1/2/4/8-way partitioning
  • GPU Memory24GB to 80GB HBM2e per GPU
  • InterconnectNVLink 4.0 (600GB/s bandwidth)
  • CPU PairingAMD EPYC 9004 or Intel Sapphire Rapids
  • Network100Gbps InfiniBand

Performance Benchmarks

  • ResNet-50 Training15 mins (vs. 6 hrs on CPU)
  • Molecular Dynamics2.4 petaflops sustained
  • 8K Video Render12 fps real-time encoding
  • Monte Carlo Simulation18M calculations/sec
  • AI Inference Latency2.7ms (BERT-Large)

Transform Industries with GPU Acceleration

Powering innovation across multiple domains

AI & Machine Learning

Model training and inference, Deep learning at scale, Natural language processing

Scientific Computing

Molecular dynamics, Computational fluid dynamics, Genomic sequencing

Media & Rendering

3D rendering farms, 8K video processing, Real-time ray tracing

Financial Modeling

Risk analysis simulations, Algorithmic trading, Monte Carlo methods

Engineered for GPU Workloads

Optimized infrastructure and software stack

Multi-GPU Clustering

Scale across 8+ GPUs with NVLink

Container Orchestration

Kubernetes with GPU-aware scheduling

HPC Toolkit

Pre-built images for CUDA, OpenCL

Visualization Ready

NVIDIA Virtual GPU (vGPU) support

Hybrid Deployment

Seamless on-premise integration

Persistent Storage

High-throughput parallel file systems

Flexible GPU Cloud Pricing

Pay only for what you use with hourly billing

Developer Tier

G
1 x NVIDIA RTX 6000 Ada
C
4 vCPUs
R
32GB RAM
S
500GB NVMe Storage
$1.99/hr
MOST POPULAR

Research Cluster

G
4 x NVIDIA A100 (80GB)
C
32 vCPUs
R
256GB RAM
S
10TB NVMe + 100TB Object Storage
$14.99/hr

Enterprise AI Suite

G
8 x NVIDIA H100 SXM5
C
64 vCPUs
R
512GB RAM
S
50TB NVMe + 1PB Object Storage
N
Dedicated 100Gbps Network
$49.99/hr

All plans include: 24/7 support, automated backups, DDoS protection

Seamless Integration with Your Stack

Works with your existing tools and workflows

TensorFlow
PyTorch
MXNet
Jenkins
GitLab
GitHub Actions
Kubernetes
Slurm
OpenPBS
Databricks
Snowflake
Hadoop
AWS S3

Trusted by Innovators Worldwide

Hear from industry leaders accelerating with our GPU cloud

Bricks GPU Cloud reduced our AI training times from weeks to hours, accelerating our drug discovery pipeline by 40x.

Dr. Elena Rodriguez

Chief AI Officer @ BioGen Labs

Tech Startup
Research University
Animation Studio
FinTech Company

Ready to Accelerate Your Workloads?

Free $500 credits for new enterprise accounts and dedicated onboarding specialist with GPU expertise

GPU Cloud Questions Answered

Everything you need to know about our GPU services

What's the minimum commitment period?

No long-term contracts - pay by the hour

Can I deploy hybrid GPU environments?

Yes, integrate with on-premise clusters via dedicated fiber

How quickly can I provision GPU instances?

Instant deployment via API/portal (<2 minutes)

Do you support vGPU for virtual workstations?

Yes, NVIDIA vGPU for remote visualization