Avoid vendor lock-in
Compare providers, plan your exit and keep the freedom to move your models and data.
15 articles in Avoid vendor lock-inSearch all articles
Articles
9 October 2026
Fireworks vs Baseten: Choosing an Inference Deployment Platform
Both Fireworks and Baseten offer hosted inference and dedicated model deployments. Compare the model formats they accept, serving control, regional placement and work required to move away.
1 October 2026
Together AI Alternatives for EU Data Residency
A roster of per-token providers with European processing, with the region question answered per provider and, where it matters, per model.
26 August 2026
AI Vendor Risk Assessment: A Procurement Checklist
Standard third-party risk questionnaires miss AI-specific vulnerabilities like model data retention and training rights. Here is the exact checklist procurement teams need to vet AI infrastructure vendors, complete with our own honest answers.
22 September 2026
Multi-Provider Inference Failover: Two Endpoints, One Codebase
If your product stops when one inference provider does, this guide puts a second endpoint behind the same code path. Learn how to configure multi-provider fallback, handle rate limits versus timeouts, and avoid breaking EU data residency during failover.
15 September 2026
Self-Hosting vs Managed EU Inference: The Independence Trade-Off
Compare processing location, provider access, portability and operational control before choosing managed inference or self-hosting. Match the deployment and contract to your actual requirements.
20 August 2026
Model Deprecation Risk: Version Pinning & Notice Periods
When an API provider retires or silently updates a model, the resulting breaking changes force a rapid, unplanned migration. Discover how version pinning, rigorous regression testing, and transparent Service Level Agreements protect your infrastructure from deprecation risk.
1 September 2026
AI Pilot Exit Criteria: Making Reversibility a Requirement
A staggering of enterprise generative AI pilots fail to deliver measurable business impact. Defining explicit exit criteria and choosing a reversible infrastructure stack ensures you can stop a proof of concept cleanly without stranded costs or vendor lock-in
18 September 2026
How AI Consultancies Choose LLM APIs for Client Projects
For AI consultancies, selecting an LLM API is about managing deal risk and reselling margins. This guide breaks down how to protect client data, avoid vendor lock-in with OpenAI SDK compatibility, and deploy EU-sovereign models to pass strict enterprise InfoSec audits.
31 August 2026
EU Alternatives to AWS Bedrock and Azure OpenAI
AWS Bedrock and Azure OpenAI offer enterprise familiarity, but hidden egress fees and US CLOUD Act exposure drive up costs and compliance risks. EU-sovereign alternatives deliver strictly GDPR-compliant, OpenAI-compatible infrastructure without the hyperscaler tax.
25 August 2026
Porting Fine-Tunes and LoRA Adapters Between Providers
The true value of your fine-tune is the knowledge embedded in its weights. By extracting your LoRA adapters as portable artefacts and avoiding proprietary serving layers, you can freely migrate your custom models across any infrastructure without vendor lock-in.
13 August 2026
Modal vs RunPod for Serverless GPU Inference
Modal and RunPod offer leading serverless GPU platforms, but actual cost is driven by billing mechanics like idle timeouts and cold starts, not just the per-hour rate. This comparison breaks down deployment lock-in, serverless premiums, and strict EU compliance options.
13 August 2026
Hugging Face Inference Endpoints Cost vs Serverless GPU
Hugging Face Inference Endpoints bill by the instance hour, meaning you pay for uptime instead of actual usage. For low-traffic APIs, an always-on endpoint is an expensive overspend. We analyze the duty-cycle crossover where serverless GPUs become the cheaper choice.
12 August 2026
Groq Alternatives in Europe: Fast Inference Inside the EU
While Groq's custom LPUs deliver massive token generation speed, European teams face severe transatlantic network latency that undermines these gains. By hosting models locally on sovereign infrastructure, enterprises recover the Time to First Token gap and ensure GDPR compliance.
21 May 2026
Multi-Cloud GPU Strategy: How to Avoid AI Infrastructure Vendor Lock-In
A Parallels-commissioned survey reports that 94 percent of organizations are concerned about vendor lock-in. Architect an open-stack, multi-cloud GPU strategy that keeps your AI workloads portable and cost-effective.
3 May 2026
Fireworks and Baseten Alternatives in Europe: A Strategic Guide
US-based managed inference platforms offer excellent developer experiences but fail on EU data sovereignty and cost at scale. Learn how European ML teams are migrating to sovereign infrastructure to maintain compliance and reduce GPU spend.
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