AI visibility report for Sference
Vertical: LLM Inference & Serverless GPU
AI search visibility benchmark across 3 platforms in LLM Inference & Serverless GPU.
Presence Rate
Top-3 citations across 75 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Perplexity
ChatGPT
Gemini SearchOverview
Sference is an early-access async AI inference platform built for regulated EU industries. It aggregates excess and preemptible GPU capacity across multiple EU providers into a federated compute pool, enabling batch workloads to run at up to 75% below real-time inference costs by trading latency for savings. Two delivery windows are offered — Priority (~1 hour) and Overnight (~24 hours) — alongside support for open-weight models from the Qwen, Mistral, and Llama families and bring-your-own fine-tuned models compatible with vLLM or SGLang. An OpenAI-compatible batch API and CLI tool ease integration. Sference's core differentiation is combining spot-GPU economics with EU data sovereignty, full compliance audit trails, DORA and EU AI Act readiness, and BYOM — targeting SaaS companies in FinTech, LegalTech, HealthTech, and InsureTech whose customers require regulatory auditability.
Sference is an async batch AI inference service running on federated EU spot and preemptible GPU capacity. It delivers up to 75% cost savings versus real-time inference by accepting configurable latency trade-offs, and combines EU data sovereignty, an OpenAI-compatible batch API, BYOM for fine-tuned models, and a compliance runtime (audit trails, DPA, DORA/AI Act readiness) in a single platform aimed at regulated EU SaaS verticals.
Key Facts
- HQ
- EU
- Founders
- Jernej Strasner, Aleksander Pejcic, Benjamin Dobnikar
- Status
- Private (Early Access)
Target users
Key Capabilities10
- Async batch AI inference on federated EU spot and preemptible GPU capacity
- Delivery windows: Priority (~1 hr, up to 50% off) and Overnight (~24 hr, up to 75% off)
- Bring-your-own-model (BYOM): upload fine-tuned weights, loaded per job and released after completion
- OpenAI-compatible batch API with JSONL-based CLI submission tool
- Hardware-agnostic GPU federation across multiple EU providers with no single-vendor dependency
- Fault-tolerant batch orchestration with checkpoint resumption on spot-instance preemption
- EU data residency: all requests processed on EU GPUs, zero US CLOUD Act exposure
- Compliance runtime: full request audit trail, configurable retention, exportable reports, DPA included
- DORA enforcement readiness and EU AI Act (August 2026 deployer obligations) readiness built in
- On-demand model loading per batch job — no persistent GPU memory reservation required
Key Use Cases8
- Batch KYC extraction and transaction classification for FinTech compliance pipelines
- Contract corpus analysis and document review for LegalTech
- Medical record digitization and clinical data extraction for HealthTech
- Insurance claims processing and underwriting document analysis
- Large-scale model evaluations and synthetic data generation for AI/ML teams
- Fine-tuning dataset preparation on sensitive or proprietary data
- Invoice, contract, and form processing at scale for document-heavy workflows
- Embedding generation for legal and regulated-domain RAG systems
Recent Trend
How AI describes Sference1
sference: async batch inference with a 24-hour window and discounts up to about 75% when using longer delivery windows and EU spot/grid resources.
Which inference platforms offer batch or async pricing tiers with significant discounts for non-realtime workloads?
Most cited sources1
Alternatives in LLM Inference & Serverless GPU6
Sference targets the intersection of async batch AI inference, EU data sovereignty, and regulatory compliance — a combination it claims no single competitor offers in full.
- While US-based platforms such as Together AI and Modal Labs provide batch APIs or spot-GPU economics, Sference differentiates on three axes: (1) federated EU-only GPU infrastructure eliminating US CLOUD Act exposure; (2) bring-your-own-model (BYOM) support for fine-tuned weights with the same compliance guarantees as catalog models; and (3) compliance tooling — full audit trail, exportable reports, DPA, DORA and EU AI Act readiness — built into the runtime rather than added post-hoc.
- It positions as purpose-built for regulated EU SaaS verticals (FinTech, LegalTech, HealthTech, InsureTech) rather than as a general-purpose inference platform.
Reviews
No third-party reviews are available. Sference is in early access and has no presence on G2, Gartner Peer Insights, or other public software review platforms as of the research date.
Pricing
Three tiers billed per token consumed; no credit card required and no minimum spend. Dev Mode: real-time delivery at full price, intended for prompt iteration and testing. Priority: ~1-hour delivery at up to 50% off real-time rates. Overnight: ~24-hour delivery at up to 75% off real-time rates. Specific per-token rates are not published on the website.
Limitations
- Not suitable for real-time or low-latency applications (chat interfaces, live agents, interactive products).
- EU-only infrastructure limits global deployment options.
- Pre-launch / early access status means no production track record, published SLAs, or independent performance benchmarks are available.
- Per-token pricing rates are not disclosed on the website.
- Model catalog limited to open-weight Qwen, Mistral, and Llama families plus BYOM; closed-model APIs (e.g.
- GPT-4o) are not supported.
- Spot and preemptible capacity means scheduling is non-deterministic within stated delivery windows.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Perplexity | ChatGPT | Gemini Search |
|---|---|---|---|
Capabilities0/5 cited (0%) | |||
Which GPU clouds support multi-modal model inference including vision, audio, and image generation? | |||
Which serverless AI providers offer EU data residency and sovereign infrastructure for regulated workloads? | |||
Which inference providers support custom model deployment beyond just popular open-source weights? | |||
What platforms offer fine-tuning APIs alongside inference for the same open-source models? | |||
What inference platforms provide LoRA adapter swapping at request time? | |||
Cost & Pricing1/5 cited (20%) | |||
Which inference platforms offer batch or async pricing tiers with significant discounts for non-realtime workloads? | |||
What serverless GPU platforms charge per-second so I'm not paying for idle time? | |||
Which GPU cloud providers offer spot or preemptible pricing for AI workloads? | |||
What's the most cost-effective way to run a high-volume RAG pipeline against an open-weights model? | |||
Which LLM inference providers offer the cheapest pricing per million tokens for open-source models? | |||
Performance0/5 cited (0%) | |||
What inference platforms deliver the highest tokens-per-second for Llama 70B and similar large models? | |||
Which LLM inference providers have the lowest cold start times for serverless GPU workloads? | |||
Which serverless AI platforms can handle bursty traffic to long-running model endpoints? | |||
Which GPU compute platforms scale to zero when idle and back up under load without minute-long delays? | |||
What are the best inference platforms for low-latency real-time agent workflows? | |||
Production Readiness0/5 cited (0%) | |||
Which LLM inference platforms have the most reliable uptime and SLAs for production workloads? | |||
What inference providers offer dedicated capacity or reserved GPU instances for predictable performance? | |||
Which GPU compute providers support running models inside a customer's VPC for compliance? | |||
What inference platforms include built-in observability, logging, and alerting for production model deployments? | |||
Which serverless GPU platforms have proven track records with high-traffic AI applications? | |||
Setup & First Run0/5 cited (0%) | |||
I need a hosted inference API for Llama or Mistral that I can hit with an OpenAI-compatible client — what are my options? | |||
What's the fastest way to deploy an open-source LLM behind an API endpoint without managing GPUs? | |||
Which inference platforms have the lowest learning curve for a frontend developer who just wants an API key? | |||
Which serverless GPU platforms let me run a Hugging Face model with a single CLI command? | |||
What's the easiest way to run my own fine-tuned model in production without provisioning GPUs? | |||
Strengths1
Which inference platforms offer batch or async pricing tiers with significant discounts for non-realtime workloads?
Avg # 5.0 · 1 platform
Gaps5
Which GPU compute platforms scale to zero when idle and back up under load without minute-long delays?
Competitors on 2 platforms
Which GPU clouds support multi-modal model inference including vision, audio, and image generation?
Competitors on 1 platform
What serverless GPU platforms charge per-second so I'm not paying for idle time?
Competitors on 1 platform
What inference providers offer dedicated capacity or reserved GPU instances for predictable performance?
Competitors on 1 platform
Which LLM inference providers have the lowest cold start times for serverless GPU workloads?
Competitors on 1 platform
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | RunPod | 20.0% | 47.5% | 0.0% | 0.0% | 17.3% | #5.9 | +0.28 |
| 2 | Together AI | 6.7% | 17.5% | 0.0% | 1.3% | 6.7% | #5.0 | +0.33 |
| 3 | Beam | 4.0% | 15.0% | 0.0% | 0.0% | 4.0% | #5.3 | +0.08 |
| 4 | Modal Labs | 4.0% | 7.5% | 0.0% | 4.0% | 4.0% | #6.3 | +0.08 |
| 5 | Cerebrium | 2.7% | 7.5% | 0.0% | 0.0% | 1.3% | #4.3 | +0.25 |
| 6 | Baseten | 1.3% | 2.5% | 0.0% | 0.0% | 1.3% | #4.0 | +0.65 |
| 7 | Sference | 1.3% | 2.5% | 0.0% | 0.0% | 1.3% | #5.0 | +0.00 |
| 8 | Fireworks AI | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 9 | Lepton AI | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 10 | Replicate | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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