> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nscale.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> News and improvements from the Nscale team.

<Update label="January 2026">
  ## Quick Search & Navigation Refresh

  A major overhaul of the console's command palette and navigation experience. The Quick Search dialog now supports multi-page flows, improved resource discovery, and an integrated theme switcher—all accessible via Cmd+K.

  ## 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

  ## Nscale CLI

  * **Device CLI login.** New device authentication flow with refresh token and expires-at fields
</Update>

<Update label="December 2025">
  ## Instances & Networking MVP

  The console now includes a complete instances and networking workflow. Create and manage instances with full security group support, storage side panels, and quota visibility.

  ## 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
</Update>

<Update label="November 2025">
  ## Instances v2 & UI Refresh

  A comprehensive refresh of the console UI alongside the new Instances v2 experience. New list and detail views, storage cards, usage visualisation, and a broad refresh of core components.

  ## 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
</Update>

<Update label="October 2025">
  ## Dedicated Infrastructure & Workbench Upgrades

  New dedicated infrastructure nodes addon and significant Workbench improvements including model selection fixes, preset rules, and comparison-mode enhancements.

  ## 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
</Update>

<Update label="July 2025">
  ## Serverless Fine-tuning

  <Frame>
    <img src="https://mintcdn.com/nscale/eHooAh3A-xA3WCln/images/fine-tuning2x.png?fit=max&auto=format&n=eHooAh3A-xA3WCln&q=85&s=ef8fbd87be15ffaa2b86ed2c5c529fcc" alt="Serverless Fine-tuning" width="2400" height="1870" data-path="images/fine-tuning2x.png" />
  </Frame>

  Introducing Serverless Fine-tuning – the fastest way to customise open-weight foundation models without touching infrastructure. Spin up a secure, pay-as-you-go training job in a single API call, watch metrics stream in real-time, and download your tuned model or push straight to Hugging Face.

  ## 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

  ## Quick start

  ```bash theme={null}
  # 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

  ```
</Update>

<Update label="March 2025">
  ## Serverless Inference

  <Frame>
    <img src="https://mintcdn.com/nscale/eHooAh3A-xA3WCln/images/serverless-inference2x.png?fit=max&auto=format&n=eHooAh3A-xA3WCln&q=85&s=0f5f913d1c839c3face1019fee6b00c1" alt="Serverless Inference" width="2400" height="1870" data-path="images/serverless-inference2x.png" />
  </Frame>

  Our fully-managed, pay-per-request runtime that puts a pool of GPUs behind a single OpenAI-compatible endpoint. Instead of capacity planning, container images and infra dashboards, you call `https://inference.api.nscale.com/v1/*` and get deterministic, low-latency responses from today’s best open-source models—all billed per token and delivered from data-sovereign, 100% renewable data-centres.

  ## 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

  ## Under the hood

  | Area                   | What it looks like                                                                                                                              | Why it matters                                                                 |
  | ---------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
  | **API surface**        | Drop‑in equivalents for `GET /models`, `POST /chat/completions`, `POST /images` with optional `stream: true` for SSE (`text/event-stream`).     | Migrate from OpenAI by changing only the base URL and key.                     |
  | **Model library**      | Launch set covers Meta Llama‑4 Scout 17B, Qwen‑3 235B, Mixtral‑8×22B, DeepSeek‑R1 distills, SD‑XL 1.0 and more (text, code, vision).            | Lets teams A/B models or mix modalities without provisioning extra infra.      |
  | **Elastic runtime**    | “Zero rate limits, no cold starts.” Traffic is sharded over thousands of MI300X/MI250X/H100 GPUs, spun up on‑demand by our orchestration layer. | Bursty workloads stay \< 200 ms tail latency without you over‑allocating GPUs. |
  | **Cost model**         | Tokens in, tokens out — billed per 1M tokens; images billed per megapixel. Every account starts with \$5 free credit.                           | Fine‑grained, deterministic spend; easy to embed in metered SaaS.              |
  | **Security / privacy** | End‑to‑end TLS, org‑scoped API keys, full tenant isolation; we never log or train on user prompts or outputs.                                   | Meets GDPR, HIPAA and most vendor‑assessment checklists out of the box.        |
  | **Sustainability**     | All compute runs in hydro‑powered facilities; the vertical stack is 80% cheaper‑per‑token than hyperscalers.                                    | Fewer carbon (and budget) emissions per request.                               |

  ## Quick start

  ```bash theme={null}
  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
        }'
  ```
</Update>