Changelog
Track the latest updates and improvements to GPUiq, including new features and bug fixes.
Recent Releases
Stay informed about GPUiq's evolution. You receive automatic notifications for major releases via your dashboard at https://dashboard.example.com. Review changes below to understand new capabilities for your AI training, rendering, or mining workloads.
Enable release notifications in your account settings to get email alerts for new versions.
New Features
- Snapshot Support: Create and restore GPU instance snapshots for quick recovery during long-running ML jobs. Save configurations and data states instantly.
- Auto-Switching Enhancements: Automatically switch to higher-performance GPUs when utilization exceeds
80%.
Improvements
- Reduced cold-start times by
30%for A100 instances, enabling faster job launches. - Dashboard now shows real-time cost savings projections, highlighting up to
70%reductions compared to on-premise setups.
Bug Fixes
- Fixed intermittent connection drops during crypto mining sessions.
- Resolved snapshot restore failures on multi-node clusters.
New Features
- API Rate Limiting Controls: Set custom limits per project to optimize resource allocation.
- Webhook Integrations: Receive job completion events at
https://your-webhook-url.com/webhook.
Improvements
- Enhanced 3D rendering previews with WebGL acceleration in the dashboard.
Bug Fixes
- Patched security vulnerability in token refresh endpoints (CVE-2024-5678).
- Fixed billing discrepancies for fractional GPU hour usage.
// Example: New webhook payload structure
{
"event": "job.completed",
"instanceId": "gpu-12345",
"durationHours": 4.5,
"costSavings": 0.72
}
New Features
- Multi-Region Support: Deploy instances across US-East, EU-West, and Asia-Pacific.
- CLI Tool v2: Install via
npm install -g gpuiq-clifor streamlined management.
Breaking Changes
- Updated authentication to require
{API_KEY}in headers instead of query params.
Bug Fixes
- Corrected GPU utilization metrics reporting over
24hperiods.
Upgrade Instructions
Follow these steps to update your GPUiq CLI or SDK to the latest version.
Check Current Version
Run the following command:
gpuiq --version
Update CLI
npm install -g gpuiq-cli@latest
brew upgrade gpuiq-cli
Verify
Test with a sample job:
gpuiq run --gpu a100 --image tensorflow:latest --command "python train.py"
Upcoming Features
Explore what's next for GPUiq. These enhancements will further optimize your compute workflows.
Dynamic Scaling
Automatically adjust GPU count based on workload demands.
Advanced Monitoring
Integrate with Prometheus for custom alerts.
Spot Instance Bidding
Bid on unused capacity for even greater savings.
Provide feedback on these features via the feedback form or join our Discord community.
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