Machine LearningVESSL AI
Don't tie a GPU to your agent
Same H100, same $5.10, 4× throughput. K=4 fan-out scheduling on VESSL Cloud collapses karpathy's autoresearch from 2 hours to 40 minutes.
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|5 min
Blog
Latest updates, engineering insights, and product news from the VESSL AI team.
TutorialsVESSL AI
How to Fine-Tune Gemma 4 in 15 Minutes
Fine-tune Gemma 4 E4B on a cloud A100 in 15 minutes for $0.38. Real benchmarks, full code, and a storage strategy for team collaboration.
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|8 min
ProductVESSL AI
vesslctl: Manage VESSL Cloud from Your Terminal
The official VESSL Cloud CLI is here. Run your whole workflow from the terminal, with native MCP integration and a bundled Claude skill.
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|5 min
ProductVESSL AI
Your GPU Credit Lifesaver: Meet VESSL Cloud Job
Ever woken up to find credits drained on a workspace that finished hours ago? Batch Jobs submit, run, and auto-terminate — even failed runs don't keep bleeding money.
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|7 min
Machine Learning
VESSL AI
Building a Point-in-Time Finance LLM on 8×H100 + Qwen3.5-35B: A Full-Weight Recipe
We ran point-in-time continued pretraining of a 35B model on 8×H100 and measured the lookahead-bias leakage premium — honest result + reproducible recipe.
|21 min
Machine LearningVESSL AI
A100 vs H100 vs B200 for LoRA fine-tuning and inference: a cost benchmark
We fine-tuned and served Gemma-4-31B on A100, H100, and B200, then normalized everything to cost per token. With the right configuration, the three land within ~5% — the settings matter more than the chip.
|11 min
AI Infrastructure
What Is a Neocloud? The Fastest Way to Get GPU Access
"I need GPUs for my AI project, but the waitlist is weeks long." If you've ever tried to spin up high-end GPUs on a major cloud provider, you know the pain. Long queues, complicated pricing, and surprise bills. And all just to get the compute you need. There's a new category of cloud infrastructure built to solve exactly this: neoclouds. In this post, we'll break down what neoclouds are, how they compare to hyperscalers, and how to get started today. This article was written by the VESSL AI t
|7 min
Machine LearningVESSL AI
2026 GPU Selection Guide — From L40S to B300
L40S, RTX Pro 6000, A100, H100, H200, B200, GB200, B300 — which GPU fits your workload? A side-by-side spec comparison with workload-based recommendations.
|4 min
Community
GTC 2026: GPU Infra Trends — Inference to Physical AI
Introduction At GTC 2026, Jensen Huang opened with a line that reframed the entire week: "2025 was the year of inference." And if 2025 was when inference arrived, GTC 2026 made one thing clear — what's accelerating it next is moving even faster. Three themes dominated the week: agentic tools that are compressing the AI development cycle from weeks to hours, Physical AI emerging as a genuinely continuous GPU workload, and a hardware roadmap built entirely around the assumption that inference de
|7 min
Everyone Said "Sold Out" — GB200 & B300, Available Now on VESSL Cloud
The GPUs everyone's been waiting for — NVIDIA GB200 and B300 — are now available on VESSL Cloud. On-demand and reserved options available.
|3 min
ProductVESSL AI
GPU Cloud Pricing Compared: Hyperscalers vs Neoclouds (2026)
See how GPU pricing differs between hyperscalers and neoclouds.
|8 min
CompanyVESSL AI
VESSL AI Showcases GPU Cloud Platform for Physical AI at NVIDIA GTC 2026
VESSL AI to unveil next-gen AI infrastructure at GTC 2026 in San Jose, March 13–16.
|2 min