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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
0°C
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
Supported Models

Run the World's Best
Open Models — Instantly.

Deploy frontier AI models on dedicated Blackwell GPUs with OpenAI-compatible endpoints. No cold starts, no shared tenancy.

NVIDIA
Nemotron 3 Ultra 550B
by NVIDIA
256K context·160 ms latency·quality 9.4
ReasoningflagshipNVIDIA Open Model
GLM-5.3 Flash
by zai-org
1M context·120 ms latency·quality 8.7
Low latencyMIT
Qwen
Qwen3.8 27B
by Qwen
256K context·140 ms latency·quality 8.6
General purposeopen weightsApache 2.0
NVIDIA
Nemotron 3.5 Lightning 30B
by NVIDIA
1M context·80 ms latency·quality 8.6
Mixture of expertsNVIDIA Open Model
Gemma 3 1B IT
by Google
32K context·40 ms latency·quality 7.5
Smallhigh throughputGemma Terms
Kimi-VL-A3B-Thinking
by Moonshot AI
128K context·91 ms latency
Moonshot AI’s vision-language “Thinking” model (image + text in, text out), 131K context.
Text
Infrastructure Ecosystem

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

Supermicro Server Infrastructure Partner

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

NVIDIA Technology Partner

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

Tier III Certified Data Center Facility

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

DigiPowerX Sustainable Energy Partner

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.

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
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.