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neocloudz — gpu-cluster-monitor — bash
CLUSTER ONLINE
▸ GPU CLUSTER · 64 NODES · BLACKWELL B200
0active0% avg util0.0PetaFLOPs
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GPU Util
0%
avg across 64 GPUs
VRAM Used
0%
132 / 180 GB avg
Power Draw
0 W
avg · 700W TDP
Temp
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avg · max 83°C
Network I/O (InfiniBand 400G)94%
NVLink Bandwidth71%
Storage Throughput58%
System Logs
Jobs
Alerts
--:--:--monitoring
neo@cluster:~$
High Utilization (>70%)
Medium (40–70%)
Low (<40%)
Idle
Error
64× BLACKWELL B200 · NVLink 4.0 · InfiniBand 400G · NeoCloudz
2,048GPUs Online
74%Avg Utilization
318Active Jobs
892PetaFLOPs/s
398GB/sNetwork I/O
900GB/sNVLink-C2C BW
<60sProvision Time
400GInfiniBand

Engineered with the world's most advanced AI infrastructure partners.

NVIDIA

Provides the state-of-the-art GPU architecture that is optimized for high-performance AI training and inference workloads.

SUPERMICRO

Delivers the high-density, server hardware platforms designed to support massive scale and compute-intensive applications.

SUPERMICRO

Certifies the data center facilities as Tier III, ensuring enterprise-grade reliability through redundant power and cooling systems.

DIGIPOWER X

Supplies energy-optimized power solutions to lower the carbon impact of the infrastructure, promoting sustainable operations.

Why NeoCloudz
Purpose-Built for Performance
Our GPU-as-a-Service platform delivers:
Peak Performance
NVIDIA GPU architectures optimized for AI training and inference.
Enterprise Reliability
Tier III U.S. data centers with redundant power and cooling.
Seamless Scaling
Expand from a single instance to multi-rack clusters in seconds.
Sustainable Power
Energy-optimized systems from DigiPowerX for lower carbon impact.
Transparent Access
Simple pricing, clear usage insights, no hidden layers.
98%
<60s
Average time from signup to first GPU online
100%
99.99%
Uptime SLA across all GPU clusters
85%
400G
InfiniBand or Spectrum-X fabric across every cluster node
96%
<10μs
WEKA storage latency at full GPU bandwidth
Pricing
Simple, Transparent Pricing.

No hidden fees. No egress charges. Pay only for the compute you use — by the hour or lock in savings with reserved instances.

AVAILABLE NOW
Blackwell B200 – Fractional
Pricing on request
Ideal for prototyping and small-scale AI

Powered by Supermicro AI-optimized server

  • 1/4 or 1/2 of NVIDIA Blackwell B200 GPU
  • Environment: Shared node with isolated container environment
  • Storage: NVMe storage included (optional add-on)
  • Use Case: Ideal for prototyping, small-scale training, and experimentation
Contact Sales
AVAILABLE NOW
Blackwell B200 – Single Node
Pricing on request
For developers, startups, fine-tuning

Powered by Supermicro AI-optimized server

  • 1× NVIDIA Blackwell B200 (180GB SXM)
  • CPU: Intel Emerald Rapids
  • vCPU: 16
  • RAM: 224 GB DDR5
  • Network: 3.2 Tbit/s InfiniBand
  • Storage: NVMe (optional add-on)
Contact Sales
VOLUME PRICING
Reserved Instance – Monthly Commitment
Pricing on request
For cost predictability, large-scale workloads

TIA-942 Rated 3 • U.S. Tier III Data Centers

  • 1–100+ NVIDIA Blackwell B200
  • Term: 3–12 months
  • Savings: Up to 40% off on-demand rate
  • Includes: Dedicated capacity, SLA, priority support
Talk to Sales
AVAILABLE NOW
Blackwell B300 Server
Pricing on request
Next-gen architecture for future AI workloads

Built for the next generation of intelligence

  • Next-gen NVIDIA Blackwell B300
  • Memory: Ultra-high bandwidth
  • Network: 6.4 Tbit/s InfiniBand
Get Early Access

Optimized for Every AI and HPC Workload

From research labs to production AI, NeoCloudz delivers the right infrastructure for your use case, out of the box.

Inference
NeoCloudzLlamaS.NVIDIA NIM
Orchestration
SkyPilotMLflow
IaaS
VMsContainersManaged K8sShared FSWEKA
Hardware
B300 NVL72GB200 NVL72HGX H200
APIIAMAuto-healing

AI Training at Scale

Train foundation models or fine-tune LLMs on InfiniBand-connected Blackwell B200 GPUs — with Supermicro-optimized thermal design for sustained performance.

  • checkHigh-bandwidth InfiniBand networking
  • checkNVMe storage for checkpointing
  • checkAuto-scaling multi-node clusters
Contact Sales
MANAGED ML INFRASTRUCTURE
GPU
GPU
GPU
OPEN RUNTIME FOUNDATION
PRODUCTION RELIABILITY

Real-Time Inference

Deploy low-latency, high-throughput AI services with enterprise SLAs, auto-scaling, and MLOps integration.

  • check<5ms latency for production workloads
  • checkKubernetes-ready GPU instances
  • checkMonitoring & alerting dashboards
Contact Sales
jupyter-lab-01
35%
50%
65%
80%

Rapid Prototyping

Launch isolated JupyterLab® environments with pre-installed AI frameworks, GPU access, and secure data connectors.

  • checkPre-configured PyTorch/TensorFlow
  • checkSecure dataset ingestion
  • checkOne-click environment cloning
Open Notebook
GPU Catalog
The World's Most Powerful
AI Compute — On Demand.

Rent single GPUs, full nodes, or entire bare-metal clusters. Provision in under 60 seconds with full root access and no shared-tenancy noise.

Available Now
Blackwell
NVIDIA B200 & B300 · On-Demand & Reserved
GPU Memory180 GB SXM
FP8 Tensor9 PetaFLOPs / GPU
NVLink BW1.8 TB/s (B300)
Max Cluster512 GPUs
NetworkingInfiniBand 400G
AccessOn-Demand · Reserved
Deploy Now
Available Now
Grace Blackwell
NVIDIA GB200 & GB300 · Bare Metal
Config72× GPU NVL72 Rack
GPU Memory192 GB HBM3e / GPU
CPU+GPU BW900 GB/s NVLink-C2C
Total Rack Mem13.8 TB unified
NetworkingInfiniBand NDR 400G
AccessBare Metal · Dedicated
Request Cluster
Coming Soon
Vera Rubin
NVIDIA Rubin & Rubin Ultra
GPU Memory288 GB HBM4 (est.)
FP4 Tensor~3.6× B200 perf
NVLink GenNVLink 5.0
ConfigNVL144 Rack
NetworkingInfiniBand 800G
AccessJoin Waitlist
Join Waitlist
Trusted by AI teams at
Mistral AI
Cohere
Together AI
Replicate
Modal
Weights & Biases
Hugging Face
LlamaIndex
H100 SXM5 × 8
AI-Ready Infrastructure
NVL72 Rack.
Fully Dedicated.

72 Grace Blackwell GPUs in one rack. 13.8 TB unified HBM3e memory pool. 900 GB/s NVLink-C2C fabric. Zero multi-tenancy — every cycle is yours.

72
GPUs / rack
13.8TB
unified mem
900
GB/s C2C BW
400G
InfiniBand
WEKA Storage
Storage That Keeps Up
With Blackwell.

Checkpoints, datasets, and model weights need to move at GPU speed. WEKA's parallel filesystem is the only storage that doesn't become the bottleneck.

weka filesystem status
$ weka status
NeoCloudz WEKA Cluster HEALTHY
 
Cluster Name : neo-weka-us-east1
Capacity : 4.8 PB usable
Throughput : 1.4 TB/s aggregate
Latency : 8.2 μs (p99)
IOPS : 42M read / 18M write
Nodes : 24 storage · 512 GPU clients
Protocol : POSIX · NFS · S3
 
$ weka fs list
training-data 2.1 PB active
checkpoints 1.2 PB active
model-weights 0.8 PB active
scratch 0.7 PB ephemeral
 
$
Sub-10μs Latency at Scale
WEKA delivers <10μs p99 latency across all cluster clients simultaneously — no degradation at scale. Your training throughput is never storage-bound.
1.4 TB/s Aggregate Throughput
Parallel access across all storage nodes means B200 and Grace Blackwell clusters can load multi-terabyte datasets and write checkpoints without slowing down.
POSIX, NFS & S3 Compatible
Mount WEKA like a local filesystem, access via NFS from any node, or use the S3-compatible API for object storage workflows. No code changes required.
Persistent Across Sessions
Unlike ephemeral NVMe scratch, WEKA volumes persist between cluster launches. Your checkpoints survive node restarts, reconfigurations, and cluster terminations.
FAQ

Common
Questions.

Everything you need to know before deploying your first cluster.

What's the difference between On-Demand and Bare Metal?+
On-demand instances (B200, B300) are provisioned in seconds and billed by the minute — ideal for experimentation, inference, and burst training. Bare metal (Grace Blackwell GB200/GB300) gives you a dedicated NVL72 rack with full hardware access, no virtualization, and maximum NVLink bandwidth — designed for large-scale model training and fine-tuning that runs continuously.
How fast can I get access to a GPU?+
On-demand B200 and B300 instances typically provision in under 60 seconds from the moment you click Deploy. Grace Blackwell bare-metal clusters are provisioned within 4 hours for pre-qualified accounts. Sign up and complete KYC once, then deploy instantly every time after.
What is WEKA storage and do I need it?+
WEKA is a high-performance parallel filesystem that delivers sub-10μs latency and over 1 TB/s aggregate throughput. It's essential for large-model training where datasets don't fit in GPU memory and checkpoints need to be written frequently. It's included with all bare-metal Grace Blackwell clusters and available as an add-on for on-demand instances.
Can I run multi-node distributed training?+
Yes. All NeoCloudz clusters are connected via InfiniBand 400G with RDMA support. NCCL and MPI work out of the box. Grace Blackwell clusters ship pre-configured for PyTorch DDP, DeepSpeed, and Megatron-LM distributed training across up to 512 GPUs with zero tuning required.
When will Vera Rubin be available?+
NVIDIA is expected to begin Vera Rubin (Rubin / Rubin Ultra) shipments in late 2025. NeoCloudz is on the allocation list and will offer both on-demand and bare-metal Vera Rubin instances. Join our waitlist to be first in line and lock in early-access pricing.
Is there a free trial?+
New accounts receive $500 in free credits upon verification — enough to run a B200 instance for approximately 125 hours. No credit card required to sign up. Credits expire 30 days after account creation.
Get Started Today

The Fastest Path to
Blackwell Compute.

Deploy a B200 in 60 seconds. Scale to a Grace Blackwell bare-metal cluster when you're ready. No sales calls required.