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Harness the advanced capabilities of Llama 2 70B on Cyfuture Cloud’s scalable GPU infrastructure for high-performance AI model training and deployment.
Llama 2 70B represents Meta's advanced 70-billion parameter transformer-based language model, incorporating Grouped-Query Attention (GQA) and a 4096-token context window for efficient processing of complex language tasks. Trained on 2 trillion tokens with a September 2022 data cutoff, it achieves strong benchmark performance including 68.9 on MMLU and 37.5 pass@1 on code generation, available in both pretrained and chat-optimized variants under a commercial license. The model's optimized architecture supports enterprise NLP applications like summarization, instruction-following, dialogue systems, and multilingual processing through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
Llama 2 70B is a 70-billion parameter transformer-based large language model developed by Meta AI as part of the Llama 2 family of generative text models. Released in 2023, it comes in both pretrained and fine-tuned variants like Llama-2-70B-Chat, optimized for dialogue and instruction-following tasks with a 4096-token context window. Trained on 2 trillion tokens from public sources up to September 2022, Llama 2 70B excels in benchmarks like MMLU (68.9 score) and code generation while being commercially licensed for research and enterprise use.
Uses an optimized auto-regressive transformer design with Grouped-Query Attention (GQA) for efficient scaling and inference on large inputs.
Trained on 2 trillion tokens via next-token prediction on massive public datasets, learning linguistic patterns, grammar, and broad world knowledge.
Fine-tuned on curated instruction datasets to enhance task-specific performance such as question answering and text completion.
Applies Reinforcement Learning from Human Feedback to align outputs with human preferences for helpfulness, safety, and reduced toxicity.
Generates text token-by-token, predicting the next token probabilistically using parameters such as temperature, top-k, and top-p sampling.
Supports controlled generation parameters including max_new_tokens, do_sample, and ignore_eos for flexible deployment in chat or base model scenarios.
Llama 2 70B combines large-scale pretraining, fine-tuning, and reinforcement learning to deliver powerful, scalable, and aligned language generation.
| Category | Specification |
|---|---|
| Model Details | Meta Llama 2, 70 Billion Parameters |
| Model Type | Large Language Model (LLM) – Decoder-only Transformer |
| Architecture | 4-bit, 8-bit & BF16 optimized Transformer architecture |
| Context Window | Up to 4096 tokens |
| Fine-tuning Support | Fully Supported – LoRA / Q-LoRA / PEFT |
| Tokenizer | SentencePiece Tokenizer |
| Model Variants | Base & Chat-Optimized |
| Use Cases | NLP, Chatbots, Multi-Turn Reasoning, Content Generation, Code Assistant |
| Compute Component | Specification |
|---|---|
| GPU Type | NVIDIA A100 / H100 Tensor Core GPUs |
| GPU Count | Up to 8 GPUs (Single Node) / Multi-Node Clustering |
| GPU Memory | 40GB / 80GB HBM2e / HBM3 |
| NVLink / NVSwitch | High-speed GPU-to-GPU interconnect |
| Interconnect Bandwidth | 600GB/s – 900GB/s |
| Tensor Cores | FP8 / FP16 / TF32 acceleration |
| Inference Speeds | Low-latency GPU inference optimized |
| Training Support | Distributed Training, Mixed Precision Support |
| Storage Type | Specification |
|---|---|
| Model Storage | High-Performance NVMe SSD |
| Capacity | 1TB – 10TB scalable |
| Read / Write | Up to 6000+ MB/s |
| Block Storage | Expandable |
| Object Storage | S3-compatible High Resiliency |
| Networking Component | Specification |
|---|---|
| Internal Fabric | 100Gbps / 200Gbps InfiniBand |
| Public Bandwidth | 1Gbps / 10Gbps dedicated |
| Latency | Ultra-low (<1ms intra-datacenter) |
| Security | Isolated VPC, Private Endpoints |
| Software | Supported Framework |
|---|---|
| Operating System | Ubuntu / Rocky Linux |
| LLM Frameworks | Hugging Face, DeepSpeed, Megatron |
| Optimization Libraries | TensorRT, ONNX Runtime |
| Training Tools | PyTorch, JAX, Ray |
| Fine Tuning | QLoRA, LoRA, PEFT |
| Inference Serving | TGI, vLLM, Triton |
| Add-On Capability | Description |
|---|---|
| Private Model Deployment | Fully isolated environment |
| Elastic GPU Scaling | On-demand GPU cluster expansion |
| On-Prem Hybrid | Cloud + Local datacenter integration |
| AI Observability Suite | Metrics, GPU performance, token latency |
| Prompt Gateway | Optimized high-throughput prompt serving |
Llama 2 70B features 70 billion parameters, enabling deep contextual understanding and sophisticated text generation across diverse applications.
Utilizes GQA architecture for enhanced inference scalability, improving latency and throughput in enterprise deployments.
Outperforms Llama 1 with MMLU scores of 68.9%, demonstrating strong capabilities in reasoning, coding, and multilingual tasks.
Freely available for research and commercial use under a responsible AI license, enabling wide adoption by developers and enterprises.
Optimized for high-performance GPUs such as NVIDIA A100 and H100, with support for 4-bit quantization on cost-effective A10 hardware.
Trained on 2 trillion tokens across 46 languages, delivering robust performance for global and multilingual content generation.
The Llama 2 70B Chat variant is fine-tuned for dialogue, summarization, and instruction-following in conversational AI systems.
Runs efficiently across GPUs, TPUs, and quantized environments, typically requiring 80–140GB VRAM depending on precision.
Cyfuture Cloud stands out as the premier hosting platform for Llama 2 70B, delivering optimized GPU-accelerated infrastructure tailored for this powerful 70-billion-parameter large language model. With high-performance NVIDIA GPU clusters, seamless auto-scaling, and pre-configured deployment environments, Cyfuture ensures Llama 2 70B runs efficiently for complex NLP tasks like text generation, reasoning, and multilingual processing. Enterprises benefit from low-latency inference, robust security features including end-to-end encryption, and compliance with global standards, all while enjoying cost-effective pricing that eliminates the need for expensive on-premises hardware.
Choosing Cyfuture Cloud for Llama 2 70B means effortless integration via REST APIs, SDKs, and CI/CD pipelines, enabling rapid model deployment, fine-tuning, and monitoring without infrastructure headaches. The platform's scalable compute resources handle demanding workloads effortlessly, supporting everything from startups prototyping AI applications to enterprises scaling production-grade Llama 2 70B deployments. Backed by 24/7 managed support and analytics tools for performance optimization, Cyfuture Cloud empowers developers to focus on innovation rather than operations.
Thanks to Cyfuture Cloud's reliable and scalable Cloud CDN solutions, we were able to eliminate latency issues and ensure smooth online transactions for our global IT services. Their team's expertise and dedication to meeting our needs was truly impressive.
Since partnering with Cyfuture Cloud for complete managed services, Boloro Global has experienced a significant improvement in their IT infrastructure, with 24x7 monitoring and support, network security and data management. The team at Cyfuture Cloud provided customized solutions that perfectly fit our needs and exceeded our expectations.
Cyfuture Cloud's colocation services helped us overcome the challenges of managing our own hardware and multiple ISPs. With their better connectivity, improved network security, and redundant power supply, we have been able to eliminate telecom fraud efficiently. Their managed services and support have been exceptional, and we have been satisfied customers for 6 years now.
With Cyfuture Cloud's secure and reliable co-location facilities, we were able to set up our Certifying Authority with peace of mind, knowing that our sensitive data is in good hands. We couldn't have done it without Cyfuture Cloud's unwavering commitment to our success.
Cyfuture Cloud has revolutionized our email services with Outlook365 on Cloud Platform, ensuring seamless performance, data security, and cost optimization.
With Cyfuture's efficient solution, we were able to conduct our examinations and recruitment processes seamlessly without any interruptions. Their dedicated lease line and fully managed services ensured that our operations were always up and running.
Thanks to Cyfuture's private cloud services, our European and Indian teams are now working seamlessly together with improved coordination and efficiency.
The Cyfuture team helped us streamline our database management and provided us with excellent dedicated server and LMS solutions, ensuring seamless operations across locations and optimizing our costs.
Llama 2 70B is Meta’s 70-billion parameter transformer-based language model featuring Grouped-Query Attention (GQA) and a 4096-token context window. It excels in text generation, reasoning, and code tasks, achieving strong benchmark results such as MMLU 68.9 and HumanEval 37.5 (pass@1).
Llama 2 70B offers both pretrained and chat-optimized variants, multilingual capabilities, supervised fine-tuning (SFT), and RLHF alignment for improved helpfulness and safety, making it well-suited for enterprise NLP and advanced reasoning workloads.
Cyfuture Cloud deploys Llama 2 70B on NVIDIA A100 and H100 GPU clusters using Kubernetes-native environments, tensor parallelism, and KV caching to enable efficient multi-GPU inference for models up to 140GB in size.
Llama 2 70B typically requires around 140GB of GPU memory in FP16 or approximately 70GB in INT8. Cyfuture Cloud provides scalable GPU configurations ranging from single A100 instances to multi-node H100 clusters.
Yes, Llama 2 70B is released under Meta’s permissive commercial license, allowing enterprises to build production applications such as chatbots, summarization tools, and code assistants on Cyfuture Cloud.
Llama 2 70B supports a context window of up to 4096 tokens, optimized on Cyfuture Cloud for extended conversations, document analysis, and multi-step reasoning tasks.
Cyfuture Cloud uses continuous batching, tensor parallelism, and MeitY-empanelled data centers with a 99.99% uptime SLA to deliver low-latency, production-grade inference for Llama 2 70B workloads.
Yes, Cyfuture Cloud supports custom fine-tuning of Llama 2 70B for domain-specific use cases such as finance, healthcare, and legal analysis using GPU-accelerated training environments.
Cyfuture Cloud offers flexible pay-as-you-go pricing for Llama 2 70B, with no long-term contracts, scalable GPU rentals, and cost-optimized inference for enterprise deployments.
Cyfuture Cloud ensures enterprise-grade security with India-based data residency options, end-to-end encryption, DDoS protection, and compliance-ready infrastructure for secure Llama 2 70B deployments.
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