What will you build
on clean compute?
From frontier LLM training to production inference, GPU-accelerated data science to photorealistic rendering — explore how teams use Digisol's solar-powered infrastructure.
Large Language Model Training
Train frontier models without the carbon footprint
Training LLMs at scale demands thousands of GPU-hours and generates enormous carbon emissions on conventional infrastructure. Digisol's solar-powered H100 clusters let you run multi-node distributed training jobs with zero grid emissions — at competitive cost.
Common Challenges
- Massive memory bandwidth requirements for transformer attention
- Multi-node gradient synchronization latency
- Checkpoint I/O bottlenecks on large parameter counts
- Carbon reporting pressure from investors and regulators
How Digisol Helps
H100 SXM5 nodes connected via NVLink 4.0 and InfiniBand HDR deliver 900 GB/s intra-node and 200 Gb/s inter-node bandwidth. All-flash NVMe arrays handle checkpoint I/O at 14 GB/s. Every GPU-hour is backed by a Renewable Energy Certificate.
Your workload, zero emissions
Whatever you're building, Digisol has the GPU and the clean energy to power it. Start on-demand or talk to us about a dedicated cluster.