200+ innovative AI models
Access state-of-the-art models for various tasks, from general-purpose to domain-
specific applications, optimized for performance and accuracy
- All
- Open
- Vision
- Audio
- D
DeepSeek-V3
Open-source MoE large language model with efficient training and inference, competitive with GPT-4.
- D
DeepSeek-R1
Reasoning-focused open-source LLM designed for complex multi-step problem solving.
- Q
Qwen 3
Alibaba’s open-source LLM family supporting multilingual and multitask capabilities under Apache-2.0 license.
- Q
Qwen2.5-Omni
Open multimodal LLM with strong performance across text, vision, and audio tasks.
- D
DBRX
Databricks’ open-source model with strong performance in language understanding, programming, and math.
- M
Mistral 7B
Lightweight open-source LLM optimized for efficiency and performance.
- M
Mixtral 8x7B
Open MoE LLM from Mistral AI, enabling high efficiency with expert routing.
- F
Falcon 180B
Large open-source LLM optimized for multilingual and multi-domain tasks.
- O
OpenFlamingo-9B
Open multimodal model for zero-shot vision-language tasks, excelling at VQA and image captioning.
- B
BLIP-2
Lightweight open vision-language model for image captioning, VQA, and retrieval tasks.
- L
LLaVA-2
Open multimodal instruction-following model combining LLaMA with vision inputs, strong in reasoning tasks.
- P
PaLI-X
Large-scale multilingual vision-language model supporting OCR, cross-lingual image understanding, and retrieval.
- G
GIT-2
Open multimodal generative model for free-form image captioning and image-to-text generation.
- S
SEEM
Early open multimodal reasoning model with solid VQA, captioning, and cross-modal retrieval abilities.
- O
OpenCLIP
Open vision-language model excelling at zero-shot image classification and retrieval.
- K
Kosmos-1
Open multimodal LLM capable of processing text and images with grounding abilities.
- W
Whisper-XL
Open ASR model supporting multilingual transcription, robust against accents and noise.
- N
Nemo-Megatron-ASR
Open large-scale ASR model from NVIDIA NeMo, highly accurate in multilingual and noisy environments.
- S
SpeechT5
Microsoft’s open unified speech model for ASR, TTS, voice conversion, and speech translation.
- H
HuBERT-XL
Self-supervised speech representation learning model for ASR, speaker recognition, and transfer learning.
- A
AudioGen
Open text-to-audio generation model for music, sound effects, and environmental sounds.
- J
Jukebox-3B
Open music generation model producing high-fidelity songs with vocals, harmonies, and instruments.
- E
EnCodec
Meta’s open audio codec model for high-quality compression and reconstruction of music and speech.
- W
Wav2Vec 2.0
Self-supervised speech representation model enabling accurate ASR with limited labeled data.
End-to-end platform for the complete
generative AI lifecycle
Influence
Leverage our optimized infrastructure to maximize your AI capabilities, with tools designed for seamless development and integration.
FineTuning
Customize pre-trained models to your specific requirements, enhancing performance for your unique use cases and domains.
GPU Clusters
Access high-performance computing resources specifically optimized for AI workloads, ensuring fast and efficient model training.
Speed, cost, and accuracy.
Select all three.
- 4xFASTER
- 49%ECONOMICAL
- 1.1xMORE EXACT
Why ByteCompute AI Delivers
Innovative technology stack that optimizes every aspect of AI training and inference, delivering superior performance metrics across the board.
- Optimized inference pathways
- Advanced memory management techniques
- Revolutionary parallel processing architecture
Control your
Own GPU AI
import { ByteCompute } from "@bytecompute/sdk";
// Initialize the AI platform
const ai = new ByteCompute({
apiKey: process.env.BYTECOMPUTE_API_KEY
});
// Create a custom model deployment
const deployment = await ai.createDeployment({
name: "my-custom-model",
model: "bytecompute/llm-advanced",
resources: {
gpuType: "A100",
gpuCount: 2
},
scaling: {
minReplicas: 1,
maxReplicas: 5,
targetUtilization: 0.8
}
});
// Run inference const
response = await deployment.generate({
prompt: "Explain quantum computing in simple terms",
maxTokens: 1000
});
Our API gives you complete freedom to customize your AI infrastructure. Deploy models your way, scale as needed, and integrate seamlessly with your existing systems.
Forge the AI Frontier, Train on
robust GPU clusters
High Performance
ComputingAccess state-of-the-art GPU resources that deliver exceptional computational power for demanding AI workloads.
Cost-Efficient Solutions
Optimize your spending with our flexible pricing models that scale with your needs and eliminate unnecessary expenses.
Robust Management Tools
Control your infrastructure with comprehensive management and monitoring tools designed for AI workflows.
THE AI ENHANCEMENT CLOUD
BUILT ON LEADING AI RESEARCH
- INNOVATIVE SOLUTIONS
Our platform integrates cutting-edge research developments to deliver exceptional performance and capabilities across a wide range of AI applications.
- OPTIMIZED ARCHITECTURE
The ByteCompute AI cloud is built on a specialized infrastructure designed specifically for AI workloads, ensuring maximum efficiency and reliability.
- CONTINUOUS INNOVATION
We constantly evolve our technology stack to incorporate the latest advancements in AI research, keeping our platform at the forefront of the industry.
- RESEARCH PARTNERSHIPS
Through collaborations with leading research institutions, we transform theoretical breakthroughs into practical solutions that power the next generation of AI applications.
Future of AIExploring the next frontiers in artificial intelligence research and applications
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GPU AccelerationHow specialized hardware is revolutionizing the speed and capabilities of modern AI systems
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Ethical AI DevelopmentBuilding responsible AI systems that align with human values and societal needs
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