Workload Categories

Select a workload type to view specifications, configuration examples, and pricing models.

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AI & Machine Learning

GPU-accelerated clusters for training LLMs, fine-tuning, and inference with CUDA support and tensor optimization.

NVIDIA A100 Auto-Scaling Distributed
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High-Performance Computing

Low-latency interconnects for molecular dynamics, fluid simulation, and finite element analysis.

InfiniBand Bare Metal MPI Ready
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Bioinformatics & Genomics

HIPAA-compliant pipelines for genome sequencing, variant calling, and proteomics analysis.

HIPAA Nextflow Secure
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Big Data & Analytics

Distributed storage and compute for Spark, Hadoop, and real-time stream processing at petabyte scale.

EBS Optimized Parquet Columnar
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Web & Microservices

Kubernetes-optimized nodes with service mesh, auto-scaling, and global edge caching.

K8s Load Balancer 99.99% SLA
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Game Servers

Low-latency dedicated instances with DDoS protection and global matchmaking network integration.

Epic/UWS Anti-Cheat Low Ping

ML Workload Specs

GPU Architecture NVIDIA A100 80GB HBM2e
Interconnect NVLinkโ„ข 4.0 (600 GB/s)
CPU Cores 80 vCPU (AMD EPYCโ„ข 7763)
Memory 512 GB DDR4 ECC
Storage 4x 1.92TB NVMe SSD (RAID 0)
Frameworks PyTorch, TensorFlow, JAX

Quick Deploy

CLI cnx workload deploy \\ --type ml-training \\ --gpus 8 \\ --image nvidia/cuda:12.1-devel \\ --storage nfs:/datasets \\ --scale auto

Pre-loaded with NCCL, Horovod, and DeepSpeed optimizations. Supports multi-node elastic training with checkpoint persistence.

HPC Workload Specs

Interconnect InfiniBand HDR (200 Gbps)
Network Latency < 1.2 ฮผs RTT
CPU Cores 128 Physical Cores
Memory 1 TB DDR4
Scheduler Slurm / PBS Pro
Parallel FS Lustre / BeeGFS

Quick Deploy

CLI cnx hpc cluster create \\ --nodes 64 \\ --ib enabled \\ --scheduler slurm \\ --image hpc-node-v3 \\ --mpirun openmpi

Bare-metal performance without the latency overhead. Optimized for MPI, OpenMP, and distributed memory workloads.

Genomics Workload Specs

Compliance HIPAA, GDPR, SOC2
Storage Cold Archive + Hot NVMe
Tools GATK, BWA, SAMtools
Throughput 10,000+ WGS/day

Pipeline Example

Nextflow cnx pipeline submit \\ --workflow wgs-variant-calling \\ --samples s3://my-genomics/batch-42 \\ --reference hg38 \\ --output s3://my-genomics/results

Big Data Specs

Engine Apache Spark 3.4
Storage Object Store (S3 Compatible)
Scale Exabyte Class
Compute Ephemeral Compute Nodes

Quick Deploy

CLI cnx data cluster start \\ --workers 200 \\ --spark-version 3.4 \\ --storage-class optimized

Web Workload Specs

Orchestration Kubernetes 1.28
Load Balancer L4/L7 with WAF
Auto-Scaling Target Metric / Cron
SSL Automatic Let's Encrypt

Quick Deploy

kubectl kubectl apply -f \\ https://cloudnexus.io/deploy/web-stack.yaml

Game Server Specs

Protection 6 Tbps DDoS Shield
Ports Open UDP/TCP Range
OS Ubuntu/Alpine Optimized
Regions Global Edge Deploy

Quick Deploy

CLI cnx game deploy \\ --engine unreal \\ --players 100 \\ --regions us-eu-ap

Instance Comparison Matrix

Feature Standard Compute Optimized Memory Optimized GPU / AI HPC Bare Metal
Use Case Web Apps Billing, Transcoding Databases, Redis ML Training Simulation
Virtualization KVM KVM KVM KVM w/ VFIO Bare Metal
NVMe Storage โœ“ โœ“ โœ“ โœ“ โœ“
GPU Support โœ• โœ• โœ• โœ“ 8x A100 โœ•
InfiniBand โœ• โœ• โœ• โœ• โœ“ HDR
Starting Price $0.02/hr $0.04/hr $0.05/hr $3.20/hr $1.80/hr

FAQ

You can use our cnx migrate tool which supports Docker container porting and checkpoint transfer from AWS SageMaker and GCP Vertex AI. The GPU instances are compatible with standard CUDA drivers and PyTorch/TensorFlow images.

Yes. CloudNexus supports Slurm job scheduling with auto-provisioning. When a job enters the queue, compute nodes are spun up within 30 seconds. Nodes terminate automatically upon job completion to optimize costs.

Absolutely. All storage for Bioinformatics workloads is encrypted using AES-256. We support customer-managed keys (BYOK) and are fully HIPAA and GDPR compliant. Access logs are immutable and available for audit.

Yes. You can launch "Spare Capacity" instances for up to 90% savings. These are best for fault-tolerant batch jobs, data processing, and distributed training with checkpointing. We provide a 30-second eviction warning via API.