RTX 4070 on Salad
Visit SaladSalad's NVIDIA GeForce RTX 4070 offering brings Ada Lovelace architecture to a decentralized cloud powered by residential consumer GPUs, ideal for massive batch jobs and fault-tolerant inference. With 12GB GDDR6X VRAM, 5888 CUDA cores, 184 tensor cores, and up to 29 TFLOPS FP32 performance at a 200W TDP, the RTX 4070 balances efficiency and capability for mid-scale AI workloads. Salad's network leverages idle gaming rigs worldwide, delivering the industry's lowest pricing through per-second billing and spot instances—often under $0.10/hour. This combination stands out for ML engineers tackling cost-sensitive, high-volume tasks like LLM inference or hyperparameter sweeps, where datacenter premiums are unjustified. Key value propositions include extreme affordability, global node distribution for regional low-latency, and built-in fault tolerance matching the GPU's strengths in lighter training and deployment. While node variability introduces some unpredictability, it's a game-changer for scalable, budget-driven experimentation, democratizing access to cutting-edge consumer silicon without infrastructure overhead.
Why NVIDIA GeForce RTX 4070 on Salad?
Opt for Salad's RTX 4070 when cost trumps consistency in batch or inference workloads. Salad's decentralized residential network unlocks RTX 4070 at unbeatable rates via per-second billing and spot auctions, leveraging idle consumer hardware for 50-80% savings over traditional clouds. The GPU's efficiency excels in Salad's variable environment: low TDP suits power-constrained home nodes, while 12GB VRAM handles quantized models or small-batch training seamlessly. Unique edges include massive parallelism across thousands of nodes, no egress fees, and dynamic pricing that complements the card's prowess in fault-tolerant apps like distributed inference. Perfect for non-critical, high-throughput jobs where overprovisioned enterprise GPUs waste budget.
Live Pricing
Real-time NVIDIA GeForce RTX 4070 offers from Salad
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Salad | NVIDIA GeForce RTX 4070 Laptop 8GB VRAM | 8GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.08/GPU/hr | Available | ||
Salad | NVIDIA GeForce RTX 4070 12GB VRAM | 12GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.15/GPU/hr | Available | ||
Salad | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.20/GPU/hr | Available | ||
Salad | NVIDIA GeForce RTX 4070 Ti SUPER 16GB VRAM | 16GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.21/GPU/hr | Available |
Performance Notes
Expect RTX 4070 on Salad to shine in inference (e.g., 10-20x realtime on 7B models) and batch eval, with ~46 TFLOPS FP16 tensor performance. 12GB VRAM limits to mid-size models; fine for Llama-7B/13B quantized. Network: residential variability (50-500Mbps typical), fine for async batches but monitor for sync-heavy tasks. Storage ephemeral (NVMe SSDs ~500GB/node); use containers for persistence. Multi-GPU rare (mostly 1x/node), but scales horizontally across fleet. Known: low preemptions on dedicated, efficient for DL workloads. Unknowns: exact spot reliability, inter-node latency. Benchmark via Salad's trial; fault-tolerant code essential.
A decentralized cloud using consumer GPUs for massive batch jobs and fault-tolerant inference.
Best For
Unique Features
- Lowest pricing via residential node network
- Decentralized consumer GPU network
VRAM
12GB
Architecture
Ada Lovelace
Tier
consumer
Platform Features
Getting Started
Launch RTX 4070 instances on Salad via intuitive dashboard or CLI in minutes. Focus on Dockerized jobs for batch/inference; fund account for instant per-second pay-as-you-go. Spot mode maximizes savings for tolerant workloads.
Steps
- 1Sign up for a free account at salad.com and verify email.
- 2Add payment method and deposit balance (credit/crypto supported).
- 3Go to 'Compute' > 'Containers', filter for RTX 4070 GPUs.
- 4Upload Docker image, set resources/spot prefs, and submit job.
- 5Monitor progress/logs in dashboard; scale via orchestration API.
Pro Tips
- Build fault-tolerant jobs with frequent checkpoints to survive spot preemptions and node churn.
- Quantize models to 4/8-bit and batch small to fully utilize 12GB VRAM without OOM.
- Combine spot + dedicated for hybrid: cheap scale-up with reliable finals.
Frequently Asked Questions
What is Salad's billing model for NVIDIA GeForce RTX 4070?▾
Salad bills per-second for GPU instances including NVIDIA GeForce RTX 4070. Per-second billing ensures you only pay for exactly the compute time you use, which is particularly cost-effective for short experiments, iterative development, and workloads with variable duration.
Does Salad offer spot instances for NVIDIA GeForce RTX 4070?▾
Yes, Salad offers spot/preemptible instances for NVIDIA GeForce RTX 4070, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and training jobs with checkpointing. Note that spot instances can be interrupted when demand is high, so ensure your workflow can handle preemption gracefully.
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