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

DeepSeek V4.1 Flash GPU Requirements: 552B MoE Image Input (2026)
Oct 18, 2026
DGX Spark vs Cloud Rental: Real Break-Even Hours (2026)
Oct 18, 2026
GPU Cluster Profit Margin Calculator by Utilization (2026)
Oct 17, 2026
Self-Hosted Medical Transcription AI: HIPAA Scribe Guide (2026)
Oct 17, 2026
AgentX Benchmark GPU: MI355X vs NVIDIA Agentic Coding (2026)
Oct 16, 2026
Reserved GPU Capacity Bidding: Capacity Blocks and MSAs (2026)
Oct 16, 2026
Deploy Beam on GPU Cloud: Reflection AI's 501B MoE (2026)
Oct 15, 2026
GPU Demand Board: How Spheron Matches Supply and Demand
Oct 15, 2026
RTX Spark vs DGX Spark: Windows Laptop vs Linux Dev Box (2026)
Oct 14, 2026Try It on Real GPUs
The GPUs behind these guides are the ones you can rent here: H100s, H200s, B200s, and more, billed per minute after a 20-minute minimum runtime, with no contracts. Pick one and you are live in under two minutes.
