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GPU Acceleration

As of Typesense Server v0.25.0, Typesense can generate embeddings natively, with data in your JSON documents, using any of the built-in ML models listed here (or using OpenAI API or PaLM API).

When you use one of the built-in ML models, you can improve performance of the embedding generation significantly, during indexing and at search time (for eg, when doing semantic / hybrid search) by having Typesense utilize a GPU.

GPU Acceleration is available in the following RAM / vCPU configuration in select regions:

Region

Memory

vCPUs

Bahrain

16 GB

4 vCPUs

Bahrain

32 GB

8 vCPUs

Bahrain

64 GB

16 vCPUs

Bahrain

128 GB

32 vCPUs

Bahrain

192 GB

48 vCPUs

Bahrain

256 GB

64 vCPUs

Bahrain

384 GB

96 vCPUs

Canada

16 GB

4 vCPUs

Canada

32 GB

8 vCPUs

Canada

64 GB

16 vCPUs

Canada

128 GB

32 vCPUs

Canada

192 GB

48 vCPUs

Canada

256 GB

64 vCPUs

Canada

384 GB

96 vCPUs

Cape Town

16 GB

4 vCPUs

Cape Town

32 GB

8 vCPUs

Cape Town

64 GB

16 vCPUs

Cape Town

128 GB

32 vCPUs

Cape Town

192 GB

48 vCPUs

Cape Town

256 GB

64 vCPUs

Cape Town

384 GB

96 vCPUs

Frankfurt

8 GB

4 vCPUs

Frankfurt

16 GB

4 vCPUs

Frankfurt

16 GB

8 vCPUs

Frankfurt

32 GB

8 vCPUs

Frankfurt

32 GB

16 vCPUs

Frankfurt

64 GB

16 vCPUs

Frankfurt

64 GB

32 vCPUs

Frankfurt

128 GB

32 vCPUs

Frankfurt

128 GB

64 vCPUs

Frankfurt

192 GB

48 vCPUs

Frankfurt

256 GB

64 vCPUs

Frankfurt

384 GB

96 vCPUs

Ireland

16 GB

4 vCPUs

Ireland

32 GB

8 vCPUs

Ireland

64 GB

16 vCPUs

Ireland

128 GB

32 vCPUs

Ireland

192 GB

48 vCPUs

Ireland

256 GB

64 vCPUs

Ireland

384 GB

96 vCPUs

London

16 GB

4 vCPUs

London

32 GB

8 vCPUs

London

64 GB

16 vCPUs

London

128 GB

32 vCPUs

London

192 GB

48 vCPUs

London

256 GB

64 vCPUs

London

384 GB

96 vCPUs

Milan

16 GB

4 vCPUs

Milan

32 GB

8 vCPUs

Milan

64 GB

16 vCPUs

Milan

128 GB

32 vCPUs

Milan

192 GB

48 vCPUs

Milan

256 GB

64 vCPUs

Milan

384 GB

96 vCPUs

Mumbai

16 GB

4 vCPUs

Mumbai

32 GB

8 vCPUs

Mumbai

64 GB

16 vCPUs

Mumbai

128 GB

32 vCPUs

Mumbai

192 GB

48 vCPUs

Mumbai

256 GB

64 vCPUs

Mumbai

384 GB

96 vCPUs

N California

16 GB

4 vCPUs

N California

32 GB

8 vCPUs

N California

64 GB

16 vCPUs

N California

128 GB

32 vCPUs

N California

192 GB

48 vCPUs

N California

256 GB

64 vCPUs

N California

384 GB

96 vCPUs

N Virginia

8 GB

4 vCPUs

N Virginia

16 GB

4 vCPUs

N Virginia

16 GB

8 vCPUs

N Virginia

32 GB

8 vCPUs

N Virginia

32 GB

16 vCPUs

N Virginia

64 GB

16 vCPUs

N Virginia

64 GB

32 vCPUs

N Virginia

128 GB

32 vCPUs

N Virginia

128 GB

64 vCPUs

N Virginia

192 GB

48 vCPUs

N Virginia

256 GB

64 vCPUs

N Virginia

384 GB

96 vCPUs

Ohio

16 GB

4 vCPUs

Ohio

32 GB

8 vCPUs

Ohio

64 GB

16 vCPUs

Ohio

128 GB

32 vCPUs

Ohio

192 GB

48 vCPUs

Ohio

256 GB

64 vCPUs

Ohio

384 GB

96 vCPUs

Oregon

8 GB

4 vCPUs

Oregon

16 GB

4 vCPUs

Oregon

16 GB

8 vCPUs

Oregon

32 GB

8 vCPUs

Oregon

32 GB

16 vCPUs

Oregon

64 GB

16 vCPUs

Oregon

64 GB

32 vCPUs

Oregon

128 GB

32 vCPUs

Oregon

128 GB

64 vCPUs

Oregon

192 GB

48 vCPUs

Oregon

256 GB

64 vCPUs

Oregon

384 GB

96 vCPUs

Osaka

16 GB

4 vCPUs

Osaka

32 GB

8 vCPUs

Osaka

64 GB

16 vCPUs

Osaka

128 GB

32 vCPUs

Osaka

192 GB

48 vCPUs

Osaka

256 GB

64 vCPUs

Osaka

384 GB

96 vCPUs

Paris

16 GB

4 vCPUs

Paris

32 GB

8 vCPUs

Paris

64 GB

16 vCPUs

Paris

128 GB

32 vCPUs

Paris

192 GB

48 vCPUs

Paris

256 GB

64 vCPUs

Paris

384 GB

96 vCPUs

Sao Paulo

16 GB

4 vCPUs

Sao Paulo

32 GB

8 vCPUs

Sao Paulo

64 GB

16 vCPUs

Sao Paulo

128 GB

32 vCPUs

Sao Paulo

192 GB

48 vCPUs

Sao Paulo

256 GB

64 vCPUs

Sao Paulo

384 GB

96 vCPUs

Seoul

8 GB

4 vCPUs

Seoul

16 GB

4 vCPUs

Seoul

16 GB

8 vCPUs

Seoul

32 GB

8 vCPUs

Seoul

32 GB

16 vCPUs

Seoul

64 GB

16 vCPUs

Seoul

64 GB

32 vCPUs

Seoul

128 GB

32 vCPUs

Seoul

128 GB

64 vCPUs

Seoul

192 GB

48 vCPUs

Seoul

256 GB

64 vCPUs

Seoul

384 GB

96 vCPUs

Singapore

8 GB

4 vCPUs

Singapore

16 GB

4 vCPUs

Singapore

16 GB

8 vCPUs

Singapore

32 GB

8 vCPUs

Singapore

32 GB

16 vCPUs

Singapore

64 GB

16 vCPUs

Singapore

64 GB

32 vCPUs

Singapore

128 GB

32 vCPUs

Singapore

128 GB

64 vCPUs

Singapore

192 GB

48 vCPUs

Singapore

256 GB

64 vCPUs

Singapore

384 GB

96 vCPUs

Spain

8 GB

4 vCPUs

Spain

16 GB

8 vCPUs

Spain

32 GB

16 vCPUs

Spain

64 GB

32 vCPUs

Spain

128 GB

64 vCPUs

Stockholm

16 GB

4 vCPUs

Stockholm

32 GB

8 vCPUs

Stockholm

64 GB

16 vCPUs

Stockholm

128 GB

32 vCPUs

Stockholm

192 GB

48 vCPUs

Stockholm

256 GB

64 vCPUs

Stockholm

384 GB

96 vCPUs

Sydney

16 GB

4 vCPUs

Sydney

32 GB

8 vCPUs

Sydney

64 GB

16 vCPUs

Sydney

128 GB

32 vCPUs

Sydney

192 GB

48 vCPUs

Sydney

256 GB

64 vCPUs

Sydney

384 GB

96 vCPUs

Tokyo

8 GB

4 vCPUs

Tokyo

16 GB

4 vCPUs

Tokyo

16 GB

8 vCPUs

Tokyo

32 GB

8 vCPUs

Tokyo

32 GB

16 vCPUs

Tokyo

64 GB

16 vCPUs

Tokyo

64 GB

32 vCPUs

Tokyo

128 GB

32 vCPUs

Tokyo

128 GB

64 vCPUs

Tokyo

192 GB

48 vCPUs

Tokyo

256 GB

64 vCPUs

Tokyo

384 GB

96 vCPUs