DigitalOcean Release Notes

The following Alibaba model is now available on DigitalOcean Inference for serverless inference, Agent Development Kit, and agents:

• Qwen3.8-2.4T-A95B

For more information, see the Available Models page.

Cloud Security Posture Management (CSPM) paid plans support Managed Rules, which let you enable or disable CSPM rules for your entire team.

To exclude specific resources while keeping a rule enabled for the rest of the team, suppress findings for those resources. For more information, see How to Manage Rules and How to Suppress Findings.

Spot GPU Droplets are now in Public Preview, giving you access to latest-generation GPUs for short-lived, fault-tolerant work like batch training, batch inference, and rendering.

Latest-generation GPUs: NVIDIA HGX™ B300 and AMD Instinct™ MI350X/MI355X GPUs.

Pricing locked at creation: Your Spot rate stays fixed for the life of the Droplet, with no long-term reservation.

Works with the rest of your stack: Vector databases, Spaces object storage, Managed Databases, and CPU Droplets, all on one bill.

Droplets are interruptible and can be reclaimed at any time. We aim to give at least two hours' notice. Terms and Conditions apply.

Provision today

We have launched the Memphis, Tennessee, USA (mem1) datacenter, which supports AMD Instinct MI355X Spot GPU Droplets and many other products. For the full list of supported products, see the regional availability matrix.

• AMD Instinct MI355X GPUs are now available in MEM1 as Spot GPU Droplets in 1- and 8-GPU configurations. Spot prices vary daily based on available capacity. For pricing, see Spot GPU Droplet pricing.
• Spot GPU Droplets are now available in public preview for supported GPUs in single-GPU and 8-GPU configurations. Pricing may change daily based on capacity.

To compare the capacity tiers, see Spot GPU Droplets vs On-Demand GPU Droplets.

• DigitalOcean Container Registry (DOCR) now provides mirror registries: DigitalOcean-curated regional mirrors of popular AI container images, available in 11 datacenter regions. You can pull nvidia/pytorch and rocm/pytorch images from a region-local mirror using standard Docker tooling, or use SOCI lazy loading to start containers in seconds while image layers stream on demand. DOCR also supports pushing your own SOCI-enabled images to your registry.

For details, see How to Pull AI Images from DOCR Mirror Registries and How to Push SOCI-Enabled Images to Your Container Registry.

DeepSeek-V4-Flash-0731, DeepSeek's latest release optimized for agentic coding and autonomous workflows, is now available through DigitalOcean Inference Engine. A 284B-parameter mixture-of-experts model with only 13B parameters active per request, this model delivers fast inference at a fraction of the compute cost of a dense model of comparable size. A full re-post-training pass focused on autonomous task execution pushes its agentic performance ahead of DeepSeek's own V4-Pro, despite the smaller active parameter count. It excels at repo-scale coding agent workflows, multi-step tool use, and production-grade agentic loops.

Access the model now ->

Spend alerts

Spend alerts are now generally available for teams and organizations, replacing billing alerts. You can create multiple alerts with incremental percentage thresholds, scoped to total spend, specific products, or, for organizations, specific teams. Notifications arrive within an hour of your spend crossing a threshold.

Existing billing alerts have been migrated to the Spend alerts page as an alert named Account Spend Alert.

The following Anthropic model is deprecated from DigitalOcean Inference as of 5 August 2026

• Claude Opus 4.1

Migrate to Claude Opus 4.8 (anthropic-claude-opus-4.8) to avoid service disruption. For information on our model deprecation policy and recommended replacement models, see Model Support Policy.

Kansas City (MKC1) is now available as our newest DigitalOcean data center region. MKC1 expands DigitalOcean's footprint to 20 data centers across 11 global regions. MKC1 is a fully liquid-cooled data center and runs NVIDIA B300 GPUs.

Available at launch

• Droplets, custom images, and Droplet Autoscaler
• Kubernetes (DOKS), App Platform, and Functions
• Managed Databases
• Spaces Object Storage (standard and cold tiers), Volumes, NFS, backups and snapshots
• Networking: Load Balancers, VPC, NAT Gateway, Cloud Firewalls, reserved IPs, DNS, and Partner Network Connect
• Cloud Security Posture Management (CSPM), Marketplace, monitoring and alerts, and IAM

MKC1 has achieved an ISO 27001:2022 certification alongside SOC 2 Type II, which is reflected in a SOC 3 Type II report. These certifications can be accessed in our Security Reports and Certifications Center. As with every DigitalOcean region, you get the full platform in one place and on one bill, so your inference, compute, storage, databases, and apps sit together instead of across vendor boundaries.

Deploy in MKC1 now ->

• We have launched the Kansas City, Missouri, USA (mkc1) datacenter, which supports GPU Droplets, Kubernetes, Managed Databases, Spaces object storage, App Platform, Functions, and many other products. For the full list of supported products, see the regional availability matrix.

• Cloud firewall rules now support an action of allow or deny. Deny rules let you block traffic from specific sources, such as known malicious IP addresses, while allowing broader access to your services. Deny rules take precedence over allow rules that match the same traffic. For rule actions and configuration steps, see How to Configure Firewall Rules.

Kimi K3 is the first open 3T-class model, with a 1M-token context window that ingests entire codebases and long documents without chunking. Its sparse expert architecture (2.8T parameters, 16 of 896 active per token) delivers frontier-scale capability with efficient inference, and native multimodal support lets it reason over text, images, and video together. Tuned for max thinking effort by default, it sustains long-horizon autonomous work like coding, research automation, and multi-hour agentic sessions.

Access the model now ->

Claude Opus 5, Anthropic's latest flagship model for coding, reasoning, and knowledge work, is now available through DigitalOcean Inference Engine. Designed for demanding agentic workflows, Opus 5 delivers frontier-level performance with improved cost efficiency, offering intelligence close to Claude Fable 5 at half the price. It excels at complex software engineering, scientific research, and business automation tasks, while supporting long-context reasoning, tool use, and structured outputs.

Access the model ->