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Enverge Spark Blog

How fast is the DGX Spark, really? Prefill vs. decode, and the 273 GB/s wall — Why DGX Spark decode tops out around 3 tok/s on dense 70B models — and why prefill, MoE models, and batched serving tell a very different story.
The Cheapest Way to Run a 70B Model Locally in 2026 — The cheapest way to run a 70B model locally, compared: DGX Spark, GB10 clones, Mac Studio, RTX 5090, and cloud rental — with specs, prices, and break-even math.
How (and Why) to Quantize LLMs on NVIDIA DGX Spark — Quantize LLMs on NVIDIA DGX Spark using NVFP4, FP8, and GGUF. Step-by-step calibration, evaluation, and tradeoffs for Llama 3.1 70B — under $2 of compute.
Running Research Experiments on DGX Spark: Why Smaller VRAM Can Be Cheaper for Iterative AI — Why H100s are overkill for iterative research — and how DGX Spark at $0.65/hr lets you run 5–8x more experiment variants for the same budget.
Run AI Agents Locally: OpenClaw, Local LLMs, and Why the Cloud Should Be Yours — Why building AI agents on API calls is expensive and insecure — and how running OpenClaw with local LLMs on Spark Cloud keeps your data private while cutting costs by half.
Does Size Matter? Just Because a Model Fits Doesn’t Mean It Runs Well — Why fitting an LLM in memory is not the same as running it well — and what teams should optimize for instead when choosing models and infrastructure.
Why AI Agents Need Their Own Cloud — Why the next bottleneck for AI agents is not model quality, but the environment they run in — memory, tools, permissions, and persistent infrastructure.
Why Every Company Will Need an AI Cloud — Why AI is shifting from a chatbot tab into company infrastructure — and why every business will eventually want its own dedicated AI environment.
What Fits in 128GB? A Practical Model Size Guide for DGX Spark — A practical guide to what model sizes actually fit in DGX Spark's 128GB of unified memory, from 7B and 30B to 70B, 120B, and 200B-class models.
DGX Spark vs Mac Studio for LLM Workloads — A practical comparison of DGX Spark and Apple Mac Studio for local LLM inference, fine-tuning, CUDA workflows, and developer productivity.
How to Fine-Tune an LLM on NVIDIA DGX Spark — A hands-on guide to fine-tuning large language models on DGX Spark — full fine-tuning, LoRA, QLoRA, and Unsloth, with code examples for models from 8B to 200B parameters.
DGX Spark vs H100 vs H200: Which GPU Should You Rent? — A detailed comparison of NVIDIA DGX Spark, H100, and H200 — specs, pricing, benchmarks, and a decision matrix to help you pick the right GPU for your AI workload.
How to Rent an NVIDIA DGX Spark in 2026 — A complete guide to renting NVIDIA DGX Spark cloud access — pricing, setup, SSH access, and what you can build with 128GB of Blackwell GPU memory.