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SambaNova Cloud

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Free API for running open-source LLMs at 600+ tokens per second on SambaNova custom silicon - the fastest publicly available LLM inference at launch.

SambaNova Cloud is a developer API providing access to open-source LLMs including Meta Llama 3.1 and DeepSeek models at inference speeds that significantly exceed GPU-based alternatives. Powered by SambaNova Systems' custom Reconfigurable Dataflow Unit hardware, the platform achieved 600+ tokens per second on Llama 3.1 405B at launch - a speed benchmark that no GPU-based alternative matched publicly. SambaNova Systems was founded in 2017 by former Stanford professors and Sun Microsystems veterans and has raised over $1.1 billion in funding. The free developer tier provides 600 requests per minute with no credit card required, making it the highest-throughput free LLM API available at its launch.

#llm
#ai-inference
#developer-tools
#open-source
#language-models
#api
Freemium

Free plan available

Update Tool
cloud.sambanova.ai
Freemium
Pricing Model
Code & Development
Category
2024
Since
Free Plan
Access

Key Features

  • 600+ tokens per second on Llama 3.1 405B - the fastest publicly benchmarked LLM inference speed at launch
  • Free developer tier with 600 requests per minute and no credit card required for initial access
  • OpenAI-compatible REST API - existing OpenAI SDK integrations work by changing only the base URL and model name
  • Support for Meta Llama 3.1, Llama 3.3, DeepSeek-R1, and other leading open-source models on launch infrastructure
  • Low-latency first-token response for streaming applications where time-to-first-token is user-facing
  • Enterprise tier with dedicated deployments, SLA guarantees, and data residency options for regulated industries
  • Custom model deployment for organizations that want to run proprietary fine-tuned models on SambaNova hardware

Use Cases

  • Developers building real-time AI applications like coding assistants and chatbots that need sub-second response times
  • Teams running high-throughput batch inference over large document sets where GPU-based APIs hit rate limit ceilings
  • Engineers evaluating Llama 3.1 or DeepSeek alternatives to OpenAI without per-token cost during prototyping
  • Enterprises requiring dedicated on-premises AI inference with silicon purpose-built for transformer workloads

Pros

  • 600+ tokens per second throughput enables real-time use cases where GPT-4-speed inference is too slow to be viable
  • Free tier at 600 RPM is the most permissive rate-limited free LLM API from any commercial provider at launch
  • OpenAI-compatible API means no SDK changes - existing integrations migrate by updating the base URL and model string

Cons

  • Model selection is limited to SambaNova-supported open-source models - no access to GPT-4o, Claude, or Gemini
  • Enterprise pricing for dedicated deployments requires custom quotes and is not self-serve like GPU cloud providers
  • Hardware availability depends on SambaNova capacity - public cloud offering less broadly available than AWS or Azure GPUs

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