E2E Networks alternatives: 7 tools compared (October 2026)

CoreWeave is a GPU cloud built for AI workloads. It rents NVIDIA GPU capacity for model training and inference to AI labs, software companies and enterprises that need large clusters.

Key functions

• Serverless Inference serves open-source models from a catalog, billed per token
• Dedicated Inference deploys custom or fine-tuned models on selected GPUs
• SUNK combines Slurm and Kubernetes for large-scale model training

Compared with E2E Networks

• Built for larger organizations than E2E Networks's smallest customers.
• Starts higher: from $6.50 usage-based, E2E Networks from $0.57 usage-based.
• Names fewer security certificates: 4, E2E Networks 7.

Check before buying: Clarify which region your data and model weights will be stored in, since the pricing page names North America and Europe without a finer breakdown. Hourly GPU prices add up quickly for idle instances, so plan reservations or spot use. Request the security documentation through the trust center and check the data processing terms before sending personal data to inference endpoints.

DeepInfra offers an inference API for more than 100 AI models with per-token billing, plus GPU instances and dedicated clusters, for developers who want to run models without managing servers.

Key functions

• Serverless inference for text, image, speech and embedding models per token
• Dedicated GPUs and clusters for custom models
• No storage of inputs and outputs in standard inference

Compared with E2E Networks

• Starts lower: from $0.02 usage-based, E2E Networks from $0.57 usage-based.
• Names fewer security certificates: 1, E2E Networks 7.
• Strongest elsewhere: United States.

Check before buying: Requests to Google or Anthropic models are forwarded to those vendors and follow their policies, so check which models you use for personal data. Processing takes place in the United States. A data processing agreement is not published, so contact the data protection officer. Bulk inference may keep data longer on encrypted disk.

Nebius is an Amsterdam-based AI cloud that rents GPU clusters for training and runs managed inference through Token Factory, aimed at AI start-ups, software companies and enterprises.

Key functions

• GPU instances and InfiniBand clusters for training and inference
• Token Factory as a managed per-token inference service
• Managed Slurm on Kubernetes (Soperator) for training jobs

Compared with E2E Networks

• Can store data in the EU; E2E Networks states no EU option.
• Headquartered in Netherlands, E2E Networks in India.
• Names 9 security certificates, E2E Networks 7.
• Starts higher: from $1.55 usage-based, E2E Networks from $0.57 usage-based.

Check before buying: Confirm which region you select for storage and compute. The regions page lists Finland, France, Iceland, Israel, Spain, the United Kingdom and the United States, while the pricing page names no locations. GPU hours are billed on demand, and discounts require multi-month reservations. The public data processing agreement of Nebius B.V. covers both the AI Cloud and Token Factory.

Runpod is a GPU cloud for developers and companies of any size that want to run, fine-tune or serve AI models, with low hourly GPU prices and serverless endpoints that scale to zero.

Key functions

• Serverless endpoints autoscale AI models down to zero
• Pods as GPU instances for development, fine-tuning and inference
• Public Endpoints expose pre-deployed AI models via API

Compared with E2E Networks

• Names fewer security certificates: 3, E2E Networks 7.
• Strongest elsewhere: United States.

Check before buying: Decide whether workloads may run on Community Cloud capacity or need Secure Cloud, especially for personal or client data. Choose the region explicitly, since Runpod operates in 31 regions. Serverless costs depend on traffic, so set limits. Review the public data processing agreement before production use.

Crusoe Cloud is a GPU cloud for AI training and inference that runs in data centers Crusoe builds and powers itself. It serves AI labs, platform teams and enterprises that need GPU clusters, managed Kubernetes or Slurm, or managed inference APIs.

Key functions

• GPU instances with NVIDIA GB200, B200, H200, H100 and AMD MI300X and MI355X
• Managed Inference with MemoryAlloy, a cluster-wide memory layer that avoids repeated prefill
• Serverless Fine-Tuning of open models without provisioning a cluster

Compared with E2E Networks

• Starts higher: from $1.50 usage-based, E2E Networks from $0.57 usage-based.
• Names fewer security certificates: 3, E2E Networks 7.
• Strongest elsewhere: United States.

Check before buying: Prices for GB200, B200 and MI355X as well as spot and reserved capacity come from sales, so request quotes for the full term. The public pages do not list regions; confirm where instances and storage will run, especially for EU personal data, and review the Data Processing and Security Terms on the legal site. If you plan to use spot capacity, check the interruption rules.

Lambda rents NVIDIA GPU capacity for AI training and inference, from single cloud instances for experiments to multi-thousand GPU clusters for AI labs and enterprises.

Key functions

• On-demand GPU instances for prototyping, fine-tuning and inference
• 1-Click Clusters from 16 to more than 2,000 GPUs for distributed training
• Single-tenant Superclusters built on NVIDIA GB300 NVL72

Compared with E2E Networks

• Starts higher: from $0.79 usage-based, E2E Networks from $0.57 usage-based.
• Names fewer security certificates: 5, E2E Networks 7.
• Strongest elsewhere: United States.

Check before buying: Lambda's pricing page does not name data center regions, so ask where instances and storage run before moving personal or confidential data. Cluster bookings have fixed terms, which affects cost if a project ends early. The trust portal lists subprocessors, but it does not show a data processing agreement publicly, so request one directly.

Together AI is a cloud platform for running and adapting open AI models. Development teams call models through serverless APIs, fine-tune them or rent dedicated GPUs and clusters.

Key functions

• Serverless inference for open models, billed per million tokens
• Fine-tuning of open models via supervised fine-tuning or DPO
• Dedicated endpoints and GPU clusters for custom models

Compared with E2E Networks

• Starts lower: from $0.09 usage-based, E2E Networks from $0.57 usage-based.
• Strongest elsewhere: United States.

Check before buying: Check where requests are processed, since the privacy policy names no data center locations and relies on standard contractual clauses for EU data. Activate Zero Data Retention if prompts contain personal data. Token costs scale with usage, so set budget alerts. A data processing agreement is not linked publicly and should be requested.