The GPU Cost Crisis
AI and ML workloads require serious GPU power. But hyperscalers charge premium rates:
AWS GPU Pricing (p5.48xlarge with 8x H100s):
- On-demand: $98.32/hour
- Reserved (3-year): $45.00/hour
GCP GPU Pricing (a3-highgpu-8g with 8x H100s):
- On-demand: $95.00/hour
- Committed (3-year): $42.00/hour
For companies training LLMs or running inference at scale, these costs are crushing.
ByteCloud GPU Fabric
SmashByte provides wholesale access to GPU infrastructure:
ByteCloud H100 Clusters:
- Wholesale price: $28-32/hour per 8x H100 node
- No long-term commitments
- Auto-scaling available
- NVLink/InfiniBand networking
Savings: 30-40% vs. hyperscalers
Why ByteCloud for AI/ML?
1. True Wholesale Pricing
We don't mark up infrastructure. You pay what we pay from data center partners.
2. H100, A100, and More
- H100 for LLM training
- A100 for general ML workloads
- L40S for inference at scale
- Mix and match as needed
3. Storage Included
- S3-compatible object storage for datasets
- High-performance NVMe for training
- No egress fees between storage and compute
4. Kubernetes-Ready
- OpenStack Magnum for K8s orchestration
- Auto-scaling GPU pools
- Pre-configured for PyTorch, TensorFlow, JAX
Real-World Example
AI startup training a 7B parameter LLM:
AWS approach:
- 8x H100 (p5.48xlarge): $98.32/hour
- Training time: 720 hours (30 days)
- Total cost: $70,790
ByteCloud approach:
- 8x H100 cluster: $30/hour
- Same training time: 720 hours
- Total cost: $21,600
Savings: $49,190 (70% reduction)
Use Cases
LLM Training
- Fine-tune Llama, Mistral, or Phi models
- Train custom domain-specific LLMs
- Distributed training across multiple nodes
Computer Vision
- Train object detection models
- Video processing and analysis
- Real-time inference at scale
Voice AI
- Speech recognition (Whisper-style models)
- Voice cloning and TTS
- Real-time conversation AI
Scientific Computing
- Genomics and protein folding
- Drug discovery simulations
- Climate modeling
Getting Started
SmashByte makes GPU access simple:
- Consultation - Tell us your workload requirements
- Provisioning - We spin up your GPU cluster
- Training - Deploy your models, start training
- Scaling - Add/remove nodes as needed
No minimum commitments. Pay only for what you use.
Migration Support
Already training on AWS/GCP/Azure?
We'll help you migrate:
- Code review and optimization
- Data transfer (no egress fees with SmashByte)
- Parallel training for validation
- Cutover when you're ready
Most teams are fully migrated within 1 week.
Why Wholesale Matters
SmashByte isn't a cloud provider - we're a technology buying agent.
We give you wholesale access to the same infrastructure hyperscalers use, without the markup. No games, no lock-in, no mystery pricing.
Just GPU power at wholesale rates.