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
Agent Reinforcement Fine-Tuning (RFT) on GPU Cloud: Train Tool-Using AI Agents with Verifiable Rewards (2026 Guide)
Jun 14, 2026
Tutorial
Deploy Kimi K2.7 Code on GPU Cloud: Self-Host Moonshot's 1T-Parameter Agentic Coding Model (2026)
Jun 14, 2026
Research
NVIDIA H100 News 2026: Price Changes, H200 and Successor Updates, and Cloud Availability
Jun 14, 2026
Engineering
Dynamic Expert Quantization on GPU Cloud: Run Giant MoE Models on Fewer GPUs with Runtime Expert Offloading (2026 Guide)
Jun 13, 2026
Engineering
GPU Cloud News June 2026: Latest Hardware Launches, Pricing Changes, and Availability Updates
Jun 13, 2026
Comparison
NVFP4 vs MXFP4: 4-Bit Quantization Format Decision Guide for LLM Inference (2026)
Jun 13, 2026
Tutorial
Deploy MiniMax M3 on GPU Cloud: Self-Host the First Open-Weight Frontier Model with MSA, 1M Context, and Native Multimodality (2026 Guide)
Jun 12, 2026
Tutorial
Deploy NVIDIA Nemotron 3 Ultra on GPU Cloud: Self-Host the 550B Reasoning Model (2026)
Jun 12, 2026
Research
NVIDIA Vera Rubin NVL72 GPU Cloud: Availability, Cost Per Token, and Planning Your Rubin Rental in H2 2026
Jun 12, 2026Build what's next.
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