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CloudGPUvsNVIDIA NIM

CloudGPU vs NVIDIA NIM: Token Pricing, Speed & Intelligence

Full comparison of CloudGPU and NVIDIA NIM — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

CloudGPU

API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

Multi-model accessCost comparisonChinese frontier models
Open-weight host

NVIDIA NIM

Optimized inference microservices for NVIDIA GPUs — deploy any model on your own hardware

NVIDIA NIM (NVIDIA Inference Microservices) provides containerized, GPU-optimized inference microservices for deploying LLMs and other AI models on NVIDIA hardware. NIM packages models with TensorRT-LLM optimizations, enabling production-grade throughput on H100, A100, and RTX GPUs. Available via the NVIDIA API catalog for cloud access or as self-hosted containers for on-premises and private cloud deployments.

On-premises deploymentPrivate cloudHigh-throughput inferenceEnterprise AIModel customization
Open-weight hostHosts open weights

Key metric comparison

CloudGPU
NVIDIA NIM
Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

CloudGPU

Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
OpenAI-compatible API base at cloudgpu.app/v1
API gateway/reseller — routing not fully disclosed
Prices are CloudGPU customer rates, not official lab prices
Per-model context window and capability facts are not publicly documented

NVIDIA NIM

TensorRT-LLM optimizations deliver maximum throughput on NVIDIA GPUs
Self-hosted deployment option for air-gapped and private cloud environments
Broad model catalog: Llama, Mistral, Qwen, DeepSeek, and NVIDIA-optimized variants
Enterprise SLA and support via NVIDIA AI Enterprise license
Free API access via build.nvidia.com for prototyping
Self-hosted path requires NVIDIA GPU infrastructure investment
Cloud API catalog is primarily for evaluation — production at scale needs on-prem or cloud GPU contracts
Less suited for teams without existing NVIDIA hardware

Key differentiators

CloudGPU

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

NVIDIA NIM

An inference platform that lets you run the same TensorRT-LLM-optimized microservice both on NVIDIA's cloud API and on your own NVIDIA GPU infrastructure with consistent performance characteristics.

Frequently asked questions

CloudGPU FAQs

Are CloudGPU prices the same as official provider prices?

No. CloudGPU is an API gateway/reseller. The prices shown are CloudGPU customer rates, which may differ from official lab prices. CloudGPU does not disclose all routing details.

What models does CloudGPU offer?

CloudGPU offers 33 text models including Claude Fable 5.1, Claude Opus 5-5, Kimi K3, GLM-5.3, Qwen 3.8 Max, DeepSeek V4 Pro, GPT-6 Astra, and MiniMax M3. See the model table for current rates.

What is the CloudGPU API base URL?

The CloudGPU API base is https://cloudgpu.app/v1 with OpenAI-compatible endpoints. See https://cloudgpu.app/api/docs for full documentation.

NVIDIA NIM FAQs

What is NVIDIA NIM?

NVIDIA NIM (Inference Microservices) are containerized AI inference packages optimized for NVIDIA GPUs using TensorRT-LLM. They can be deployed on NVIDIA's cloud API catalog or self-hosted on any NVIDIA GPU infrastructure.

How do I access NVIDIA NIM models?

You can access NIM models via the NVIDIA API catalog at build.nvidia.com — free for prototyping. For production self-hosting, NIM containers are available through NVIDIA AI Enterprise licensing.

What models does NVIDIA NIM support?

NIM supports a broad catalog including Llama 4, Mistral, Qwen3, DeepSeek V3/R1, Nemotron, and NVIDIA's own optimized model variants. The catalog grows with each major open-weight model release.

Provider resources

CloudGPU

Provider page
Website
PricingDocs

NVIDIA NIM

Provider page
Website
PricingDocs

CloudGPU — API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

NVIDIA NIM — Optimized inference microservices for NVIDIA GPUs — deploy any model on your own hardware

NVIDIA NIM (NVIDIA Inference Microservices) provides containerized, GPU-optimized inference microservices for deploying LLMs and other AI models on NVIDIA hardware. NIM packages models with TensorRT-LLM optimizations, enabling production-grade throughput on H100, A100, and RTX GPUs. Available via the NVIDIA API catalog for cloud access or as self-hosted containers for on-premises and private cloud deployments.

An inference platform that lets you run the same TensorRT-LLM-optimized microservice both on NVIDIA's cloud API and on your own NVIDIA GPU infrastructure with consistent performance characteristics.

Key strengths compared

CloudGPU

  • Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
  • Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
  • OpenAI-compatible API base at cloudgpu.app/v1
  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices

NVIDIA NIM

  • TensorRT-LLM optimizations deliver maximum throughput on NVIDIA GPUs
  • Self-hosted deployment option for air-gapped and private cloud environments
  • Broad model catalog: Llama, Mistral, Qwen, DeepSeek, and NVIDIA-optimized variants
  • Self-hosted path requires NVIDIA GPU infrastructure investment
  • Cloud API catalog is primarily for evaluation — production at scale needs on-prem or cloud GPU contracts

Key weaknesses compared

CloudGPU

  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices
  • Per-model context window and capability facts are not publicly documented

NVIDIA NIM

  • Self-hosted path requires NVIDIA GPU infrastructure investment
  • Cloud API catalog is primarily for evaluation — production at scale needs on-prem or cloud GPU contracts
  • Less suited for teams without existing NVIDIA hardware

Provider category context

CloudGPU is a inference api. NVIDIA NIM is a inference api, founded in 2024. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both CloudGPU and NVIDIA NIM host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.