SYS.STATUS: OPERATIONAL

The ultimate cloud
for AI builders.

Scale AI seamlessly from a single GPU to pre-optimized clusters with thousands of NVIDIA GPUs, supporting both training and inference at any scale.

01 // FLEXIBLE ARCHITECTURE

Scale without limits

Scale AI seamlessly from a single GPU to pre-optimized clusters with thousands of NVIDIA GPUs, supporting both training and inference at any size.

02 // TESTED PERFORMANCE

Engineered for AI workloads

Integrates NVIDIA GPU accelerators with pre-configured drivers, high-performance InfiniBand, and Kubernetes or Slurm orchestration for peak efficiency.

03 // LONG-TERM VALUE

Maximum value per dollar

By optimizing every layer of the stack, we deliver unparalleled efficiency and substantial cost savings over competitors.

// PLATFORM

Every essential resource for your AI journey

Latest NVIDIA GPUs & networking

Choose the GPU that suits you best: B300, B200, H200, H100, A100 or L40S. InfiniBand networking up to 3.2 Tbit/s per host.

Thousands of GPUs in one cluster

Orchestrate and scale your environment using Managed Kubernetes or Slurm-based clusters with fast shared storage.

Fully managed services

Benefit from reliable deployment of MLflow, PostgreSQL and Apache Spark with zero effort on maintenance.

Cloud-native experience

Manage your infrastructure as code using Terraform, API and CLI, or use our intuitive cloud console.

Ready-to-go solutions

Access everything you need in just a few clicks: templates, Terraform recipes, detailed tutorials.

Architects & expert support

24/7 expert support and dedicated solution architects for multi-node cases, all free of charge.

// INFRASTRUCTURE

We master building AI-optimized data centers

Purpose-built facilities designed from the ground up for GPU density. Custom liquid cooling, proprietary rack design, and redundant power — this is where your models train.

FACILITY.01 // PRIMARY
COOLING: LIQUID
CAPACITY: 10,000 GPU
UPTIME: 99.97%
NETWORK: 3.2 Tbit/s
POWER: REDUNDANT
[ DATA CENTER — VIDEO PLACEHOLDER ]

8 × 8 GPU GRID — CLUSTER TOPOLOGY

0
GPUs Deployed
0
Uptime SLA
0
Network Latency
0
Expert Support

Competitive pricing for NVIDIA GPUs

Access improved cost savings on NVIDIA GPUs with a commitment of hundreds of units for at least 3 months.

NVIDIA B300 GPU

Pre-order

Be among the first to get access to NVIDIA B300, the latest NVIDIA accelerators on the market.

Contact us

NVIDIA B200 GPU

$2.80/ per hour
  • Intel Emerald Rapids
  • 8x B200 GPU
  • 180GB SXM
  • 128x vCPU
  • 1792 GB DDR5
  • 3.2 Tbit/s InfiniBand
Available now

NVIDIA B200 GPU

$2.90/ per hour
  • Intel Emerald Rapids
  • 4x B200 GPU
  • 180GB SXM
  • 64x vCPU
  • 896 GB DDR5
  • 38912 GB NVMe
Available now

NVIDIA B200 GPU

$2.75/ per hour
  • Intel Emerald Rapids
  • 2x B200 GPU
  • 180GB SXM
  • 32x vCPU
  • 448 GB DDR5
  • 10240 GB NVMe
Available now

NVIDIA B200 GPU

$3.00/ per hour
  • Intel Emerald Rapids
  • 1x B200 GPU
  • 180GB SXM
  • 16x vCPU
  • 224 GB DDR5
  • 19456 GB NVMe
Available now

NVIDIA H200 GPU

$2.00/ per hour
  • Intel Sapphire Rapids
  • 8x H200 GPU
  • 141GB SXM
  • 128x vCPU
  • 1600 GB DDR5
  • 3.2 Tbit/s InfiniBand
Available now

NVIDIA H100 GPU

$1.85/ per hour
  • Intel Sapphire Rapids
  • 8x H100 GPU
  • 80GB SXM
  • 128x vCPU
  • 1600 GB DDR5
  • 3.2 Tbit/s InfiniBand
Available now

NVIDIA A100 80GB

$1.55/ per hour
  • AMD EPYC
  • 8x A100 GPU
  • 80GB SXM
  • 96x vCPU
  • 1152 GB DDR5
Available now

NVIDIA A100 40GB

$0.80/ per hour
  • AMD EPYC
  • 1x A100 GPU
  • 40GB SXM
  • 12x vCPU
  • 96 GB DDR5
Available now

NVIDIA L40S 48GB

$0.80/ per hour
  • Intel Xeon Gold
  • 1x L40S GPU
  • 48GB PCIe
  • 8x or 40x vCPU
  • 32 or 160 GB DDR5
Available now

All prices shown without applicable taxes. See full pricing for all configurations, storage, and volume discounts.

// PROVEN PERFORMANCE

Tested with GenAI workloads

Every layer of our stack is validated with real-world generative AI training and inference. These are the numbers we measured.

488 GB/s
Bus bandwidth in NCCL AllReduce

Measured on a 2-node setup with 16x H100 GPUs using NVIDIA NCCL collective communication library.

64 GB/s
Max filestore read speed per node

Achievable for 1MiB random-access requests when storage is shared among 64+ VMs with IO_redirect.

3.2 Tbit/s
InfiniBand bandwidth per host

Non-blocking NVIDIA Quantum InfiniBand fabric with direct GPU-to-GPU RDMA communication.

Tested by our in-house LLM team

It wouldn't be possible to build a truly AI-centric cloud without advancing in the field ourselves. Our in-house AI R&D team dogfoods our platform, delivering immediate feedback to the product and development team.

We run large-scale LLM pretraining end-to-end on our own infrastructure to ensure everything works before you use it.

Read more in blog →

Trusted by ML teams

Enhancing AI-powered search

Goal: Generate AI-driven search responses with modern compute infrastructure for over 80 million users.

Solution: Terraform for provisioning and HAProxy for load balancing, ensuring efficient AI inference, real-time response generation and seamless traffic scaling.

Result: Large AI models run with nearly 100% compute utilization, delivering real-time AI summaries for over 11 million queries daily.

Inference Web search AI summaries
10–70B
LLM parameters
1.3B
search queries per month
11M+
AI-generated answers daily

Training a 20B foundational model

Goal: Train a 20-billion parameter foundational model for creative design tools at production quality.

Solution: Distributed training across 256 H100 GPUs using Slurm orchestration with InfiniBand interconnect and shared checkpoint storage.

Result: Achieved near-linear scaling efficiency, completing training 40% faster than projected with zero unplanned downtime.

Training Foundation models Creative AI
20B
model parameters
256
H100 GPUs used
40%
faster than projected

Real-time AI video dubbing at scale

Goal: Deploy real-time AI-powered dubbing for video content across multiple languages with natural voice synthesis.

Solution: L40S GPUs for inference with Managed Kubernetes for autoscaling, Container Registry for rapid deployment, and vLLM for serving.

Result: 40% cost efficiency gains with L40S GPUs without sacrificing quality. Hundreds of thousands of users generating personalized video content.

Inference Video AI Dubbing
40%
cost efficiency gains
100K+
active users
12
languages supported
Reference Platform Cloud Partner

NVIDIA Cloud Partner

{{COMPANY_NAME}} operates as a Reference Platform Cloud Partner within the NVIDIA Partner Network. This designation is for select partners who operate large clusters built in coordination with NVIDIA, adhering to tested and optimized reference architecture.

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