GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Tool Use Error Recovery
When tool calls fail mid-agent-loop — recovery patterns, retry semantics, fallback strategies.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Agent State Management
How agentic AI workloads manage state across multi-step interactions — conversation, tool results, working memory.
Self-Hosted vs OctoAI
OctoAI's strength is optimised serving + multi-cloud. Where self-hosted dedicated owns the cost dimension.
Self-Hosted vs Paperspace
Paperspace (DigitalOcean) offers GPU hosting plus ML workflow tools. Where self-hosted dedicated wins on cost and ops.
Self-Hosted vs OpenPipe
OpenPipe is the managed fine-tune platform — capture API requests, train custom models, serve cheaply. Where self-hosted is the next…
Self-Hosted vs Modal
Modal's strength is serverless Python compute including AI workloads. Where dedicated GPU wins; where Modal stays right.
Self-Hosted vs Fireworks AI
Fireworks AI is a strong managed open-weight inference platform. Where self-hosted dedicated wins; where Fireworks stays competitive.
Self-Hosted vs Replicate
Replicate's strength is the model-deploy UX. When self-hosted dedicated GPU wins; when Replicate stays the right call.
Self-Hosted AI 2027 Roadmap
Looking ahead from April 2026 — what to expect in self-hosted AI infrastructure over the next 12-18 months.
1,000 Posts on Self-Hosted AI: A Field Guide
Pulling together the dominant patterns for self-hosted AI in 2026. The reference summary for production deployments.
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Browse ArticlesReady to deploy your AI workload?
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