Mitrasish Mukherjee
Co-founder & CTO, Spheron
Co-founder & CTO at Spheron. Writes about GPU clouds, AI infrastructure, and what it actually takes to run large-scale model training and inference.
Mitrasish is Co-Founder & CTO of Spheron, an enterprise GPU rental marketplace that aggregates capacity from vetted data center partners worldwide. He works closely with AI teams shipping LLM training, fine-tuning, and inference at scale, and writes most of the engineering and product content on the Spheron blog. Before Spheron he spent years building developer infrastructure across compute, storage, and orchestration.
Posts by Mitrasish

Engineering
DeepSeek Sparse Attention on GPU Cloud: Deploy Long-Context LLMs at 80% Less Compute (2026 Guide)
Jun 5, 2026
Tutorial
Multi-Token Prediction on GPU Cloud: Deploy MTP LLMs for 2-3x Faster Inference (2026)
Jun 5, 2026
Tutorial
NVIDIA Mission Control on GPU Cloud: AI Factory Lifecycle Management, Multi-Tenant LLM Inference and Training (2026 Guide)
Jun 5, 2026
Engineering
Decentralized LLM Training on GPU Cloud: Pluralis, Prime Intellect, and Nous Psyche (2026 Guide)
Jun 4, 2026
Tutorial
Deploy Cohere Command A on GPU Cloud: Self-Host the 111B Enterprise RAG Model with 256K Context (2026 Guide)
Jun 4, 2026
Alternatives
NVIDIA DGX Cloud Lepton Alternatives: 10 GPU Cloud Marketplaces for Multi-Provider AI Compute (2026)
Jun 4, 2026
Tutorial
AI Agent Workflow Orchestration on GPU Cloud: Temporal, Inngest, and Restate for Durable Multi-Step Pipelines (2026)
Jun 3, 2026
Engineering
GPU Spot Instance Arbitrage: Bidding, Failover, Forecasting (2026)
Jun 3, 2026
Tutorial
Deploy NVIDIA NeMo Retriever on GPU Cloud: Enterprise RAG with Multilingual Embeddings and Citation-Aware Reranking (2026 Guide)
Jun 3, 2026Build what's next.
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