Changelog

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Quick Search & Navigation Refresh

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Features

• Unified create actions. All resource creation flows are now accessible directly from the Cmd+K quick search
• Enhanced Quick Search. Multi-page flow with improved resource search and theme switcher built in
• Duplicate-name validation. Prevents naming conflicts across projects, VPCs, security groups, filesystems, and images
• Batch instance creation. Create multiple instances at once with public IP toggle support
• Image snapshots. Create image snapshots directly from instance detail views
• Filesystem improvements. VPC multi-select in creation/editing with improved UI
• Navigation updates. New tabs across serverless details, usage & billing, Kubernetes details, fine-tuning overview, and project compute clusters
• Security groups. Add actions in instance view with rule side panel for create/edit
• Jobs enhancements. Parameters field on create with AI summary/diagnosis for failed jobs
• Dashboard quotas. Private dashboard now displays available quotas

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Nscale CLI

• Device CLI login. New device authentication flow with refresh token and expires-at fields

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Instances & Networking MVP

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Features

• Instances + networking MVP. Full instance actions and security group management
• Storage create side panel. Streamlined storage creation with improved details view
• Quota callout. Clear visibility into resource quotas
• Instance create polish. Refined instance creation flow and UI improvements
• Device status. Updated device status display

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Instances v2 & UI Refresh

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Features

• Instance list & detail views. New views with create image side panel
• Storage details cards. Improved storage details page with card layout
• Usage visualisation. New bar chart for usage metrics
• UI component refresh. Updated form components, drawers, card tables, and tooltips
• Instances v2. List pages for supporting resources
• API keys removed. API key management moved out of console
• Workbench polish. UI improvements to the Workbench experience
• Design system alignment. Button styling aligned to design system

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Dedicated Infrastructure & Workbench Upgrades

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Features

• Dedicated infrastructure nodes. New addon for dedicated infrastructure
• Workbench upgrades. Model selection/validation fixes, preset rules, comparison-mode improvements, and license display
• Job status handling. Improved job completion status handling
• Workload pool IPs. Machine IP display and copy improvements
• Region validation. Region change validation fixes
• Image selector. Improved image selection experience
• Preset baseline. Now updates to current version automatically

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Serverless Fine-tuning

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Features

• Two-step workflow. Pick any supported base model (Llama 3, Mistral 7B, DeepSeek, Qwen and more) and launch a job with your dataset – no cluster sizing, no Dockerfiles
• LoRA-powered efficiency. Default Low-Rank-Adaptation (LoRA) reduces GPU hours and cost
• Live metrics & easy monitoring. Poll one endpoint to track train_loss, eval_loss, perplexity
• Export or deploy instantly. One-click push to Hugging Face or direct download of a ready-to-serve artefact
• Serverless pricing. $2 minimum per job, billed by processed tokens; every new account still gets $5 free credit to experiment

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Quick start

# 1. List available base models
curl -H "Authorization: Bearer $NSCALE_API_TOKEN" \
     https://fine-tuning.api.nscale.com/api/v1/organizations/$ORG_ID/base-models

# 2. Launch a LoRA job
curl -X POST https://fine-tuning.api.nscale.com/api/v1/organizations/$ORG_ID/jobs \
     -H "Authorization: Bearer $NSCALE_API_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{
           "name": "support-bot-finetune",
           "base_model_id": "e5f6a7b8-c9d0-1234-efab-567890123456",
           "dataset": {"id":"<DATASET_ID>","prompt_column":"prompt","answer_column":"response"},
           "hyperparameters":{"n_epochs":3,"batch_size":4,"lora":{"enabled":true,"r":8,"alpha":16}}
         }'

# 3. Stream training metrics
curl -H "Authorization: Bearer $NSCALE_API_TOKEN" \
     https://fine-tuning.api.nscale.com/api/v1/organizations/$ORG_ID/jobs/$JOB_ID/metrics

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Serverless Inference

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Features

• OpenAI-compatible endpoints. Drop-in support for Llama, Qwen, DeepSeek and other leading models makes migration a copy-paste job
• Pay-as-you-go billing. Prices are per 1 million tokens including input and output tokens for Chat, Multimodal, Language and Code models. Image models is based on image size and steps
• 80% lower cost & 100% renewable. Our vertically-integrated stack slashes TCO versus hyperscalers while guaranteeing data privacy—requests are never logged or reused
• $5 free credits to get started. Every new account includes starter credits so you can ship to production in minutes

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Under the hood

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Quick start

curl -X POST \
  https://inference.api.nscale.com/v1/chat/completions \
  -H "Authorization: Bearer $NSCALE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
        "model": "meta-llama/Llama-4-Scout-17B-Instruct",
        "messages": [{"role":"user","content":"Hello world"}],
        "stream": true
      }'