Nodus vs E2B: which sandbox should AI agents use?
Nodus vs E2B for AI agent sandboxes: isolation, what the defaults do when an agent forgets, network access, GPUs and what 2,000 sandbox-hours cost.
Nodus blog
Guides, prices and benchmarks for training, inference and coding agents, from the people building Nodus.
sandboxes8 min read
Nodus vs E2B for AI agent sandboxes: isolation, what the defaults do when an agent forgets, network access, GPUs and what 2,000 sandbox-hours cost.
Read the postgpu9 min read
A 70B model needs 40 to 141 GB for weights plus a KV cache to serve, and 50 GB to 1.1 TB to fine-tune. The math, GPU setups and a script to check yours.
Read the posttraining9 min read
Nodus vs Modal for GPU training: listed rates, preemption, the 24-hour limit, multi-node clusters, agent support and what the same jobs cost on each.
Read the postagents7 min read
A prompt is not a limit. Cap every run, put a blocking budget around agent work, scope its credentials and approve writes. Setup for Claude Code and Codex.
Read the postbenchmarks8 min read
Both platforms reduced perplexity by 21.8% and produced identical weights. Our pilot compares what that improvement cost and how long delivery took.
Read the postbenchmarks8 min read
Nodus and Modal reached 91.74% accuracy with identical trained weights. We compare successful-run charges, retry costs and delivery time.
Read the postcapacity6 min read
Spot GPUs cost up to 90% less but can vanish with 30 seconds of notice. What breaks, each cloud's notice window, the cost math and a safe setup.
Read the postgpu6 min read
Modal alternatives for training compared on listed H100 prices, preemption handling, run limits and cost per run, as of October 9, 2026.
Read the postpricing3 min read
Listed per GPU-hour prices for B300, B200, H200, H100, A100, L40S, L4 and RTX cards as of October 8, 2026, with a training-run cost example.
Read the postmcp3 min read
Connect one MCP server and your coding agent can estimate, launch and watch GPU jobs on your account, with dry runs and spending limits.
Read the postcheckpointing3 min read
Save model, optimizer and step to one directory, write atomically, resume on start, and let the platform carry that directory across a reclaim.
Read the postNodus vs E2B for AI agent sandboxes: isolation, what the defaults do when an agent forgets, network access, GPUs and what 2,000 sandbox-hours cost.
A 70B model needs 40 to 141 GB for weights plus a KV cache to serve, and 50 GB to 1.1 TB to fine-tune. The math, GPU setups and a script to check yours.
Nodus vs Modal for GPU training: listed rates, preemption, the 24-hour limit, multi-node clusters, agent support and what the same jobs cost on each.
Both platforms reduced perplexity by 21.8% and produced identical weights. Our pilot compares what that improvement cost and how long delivery took.
Nodus and Modal reached 91.74% accuracy with identical trained weights. We compare successful-run charges, retry costs and delivery time.
A prompt is not a limit. Cap every run, put a blocking budget around agent work, scope its credentials and approve writes. Setup for Claude Code and Codex.
Spot GPUs cost up to 90% less but can vanish with 30 seconds of notice. What breaks, each cloud's notice window, the cost math and a safe setup.
Modal alternatives for training compared on listed H100 prices, preemption handling, run limits and cost per run, as of October 9, 2026.
Listed per GPU-hour prices for B300, B200, H200, H100, A100, L40S, L4 and RTX cards as of October 8, 2026, with a training-run cost example.
Connect one MCP server and your coding agent can estimate, launch and watch GPU jobs on your account, with dry runs and spending limits.
Save model, optimizer and step to one directory, write atomically, resume on start, and let the platform carry that directory across a reclaim.